The World Bank Must Rethink Its Strategy if it is to be Relevant on Climate Change

 

Summary of the Basic Argument:

In 1990, there were about 300,000 mobile cellular subscriptions in the lower and middle income countries of the world that can borrow from the World Bank.  By 2020, that number had risen to close to 7 billion.  This did not happen through the traditional telecom companies.  Rather, a new ecosystem of firms developed, showed that investments in providing cellular services were viable, and then extended coverage so it became essentially universal.  Finance was not the critical constraint.  With viable investments, finance followed.

The world is now facing the consequences of greenhouse gases accumulating in the atmosphere – mostly through the burning of fossil fuels – leading to a changing climate with consequences that are already bad but will become far worse.  The World Bank has been invited to do more to fund the investments that will be needed to address this.  But if the Bank continues with its traditional approach – more of the same but simply doing more of it – it will not play a meaningful role.  The investments required are simply far too high.  McKinsey has estimated that to get to net zero by 2050, over $160 trillion in investments in physical assets alone will be required in the countries that can borrow from the World Bank and IDA.  On top of this, investments will be needed to address the consequences of a warming planet.  Even under the most optimistic of forecasts, World Bank Group funding could not cover even one-half of one percent of what will be necessary.

There have been proposals that the Bank “stretch” its balance sheet in some way to enable it to lend more than it is now.  It is, indeed, arguable that the IBRD has been excessively cautious in its lending.  A simple stress test shows that at its current capitalization, about half of the loan portfolio would need to go into default for five full years (with no resolution during that period) before the Bank would need to make a call on its callable capital.  That is unlikely in the extreme.  But even if the Bank increased its lending to the very top of what is allowed under the Articles of Agreement, then with the existing capital, the IBRD could lend only an additional $11.8 billion per year – 36% more than the $33.1 billion in new commitments in FY2022.  This would still be far from what will be needed to address climate change.

The World Bank and Ajay Banga, the expected new president, need to rethink how this should be approached if the Bank is to play a meaningful role.  A top-down strategy, focused on identifying individual investments deemed a “priority”, and then seeking adequate funding (from subsidized sources to the extent required), will not suffice.  While the individual investment might well be beneficial, it will be a static one-off gain.  What one needs, rather, is a dynamic process, similar in nature to what allowed the provision of cellular services to take off.

A more opportunistic, bottom-up, approach would provide World Bank Group support to those investments that can be viable in their local circumstances.  The key point to recognize is the diversity of conditions that exist.  Solar or wind generated power might not be able to compete everywhere on cost with fossil-fuel burning sources (with the implicit subsidy being provided to such polluters by not requiring them to pay for the cost of the damage they cause).  But it is wrong to assume they cannot be competitive anywhere.  Connections to the power grid are not always available, they are often not reliable even where they are technically available, and in many cases the power from the grid can nevertheless cost more than what it would from renewable sources.

The key is to recognize this diversity in conditions, and then exploit the opportunities that exist.  And the opportunities are becoming increasingly common as technological changes are dramatically reducing costs of green alternatives not only in power, but in agricultural practices, transportation, and other sectors.  The key issue for low and middle income countries is to obtain access to those alternatives.  And with viable investments, funding will not be the critical constraint, just as it was not for cellular mobile services.  Furthermore, such funding will not add to the public debt burden – a worrisome concern in a number of countries.  When the investments are viable, what they provide and sell (such as power) will cover the cost of the financing.

The World Bank Group, both by showing the way through funding of pioneering investments that exploit such opportunities (both public and – via the IFC – private) and even more so through policy advice on best practices, can have a valuable role to play in this.  But little will be accomplished from a futile attempt simply to fund a bunch of projects, up to whatever the finite availability of subsidized funds might allow.  Rather, the Bank will only be effective if the support it provides (on policy as well as finance) leads to a dynamic where viable investments – not reliant on subsidies – will bring our greenhouse gas emissions down to zero.

 

A.  Introduction

Ajay Banga, the US nominee to be the next head of the World Bank Group, will have clear marching orders when he starts in his new job:  The World Bank must do more to address climate change.  In a major address in early October 2022, US Treasury Secretary Janet Yellen had called on the Bank to be more aggressive, to be more innovative, and to be more effective in addressing the challenges of climate change.  She asked that the Bank prepare a “roadmap” by December on how it would approach this.  And she said the US would support steps that would once have been considered radical, including measures that would “stretch” the balance sheet of the Bank and other multilaterals to permit greater lending than would have been considered before.  Other key shareholders, including Germany, echoed these remarks.

The relatively short (17 page) roadmap was duly prepared and distributed to the World Bank Board in mid-December, and was publicly released in January following the Board discussion.  Many, however, considered it disappointing.  While it did propose that the World Bank do more on climate change, it did not suggest a need for a fundamental shift in the Bank’s strategy in how it should provide such support.  It was basically just more of the same – but do more of it, up to whatever level donor nations would be willing to support financially.

There are problems, however, with the approach as laid out in the roadmap.  To start, whatever financial support the World Bank could provide – even with a major expansion in its lending capacity – would be tiny in comparison to the scale of the problem.  While it can be argued that every little bit helps, the share of what needs to be done that such financing could support under the approaches being considered would be so small as to be basically irrelevant.  Figures on this will be provided below.

But there are other issues than simply the scale.  The centerpiece of what would be new for the financing provided by the World Bank (more formally the International Bank for Reconstruction and Development, or IBRD) would be that grant funds would be provided by some set of donor nations to allow the World Bank to lend at a lower interest rate than otherwise.  The logic of such a subsidy is that the benefits from measures to reduce greenhouse gas emissions accrue to everyone on the planet, not only those in a particular country.

World Bank loans have not been subsidized in this way before.  Since its founding more than 75 years ago, World Bank funds have been lent to countries at a rate reflecting what it costs the Bank to borrow in the markets (which is relatively low, given its AAA rating and other backing), plus a margin to cover its administrative costs and to provide for a modest level of earnings (currently a margin of about 0.8% points on average when taking into account all fees and charges).  This rate has generally been less than the rate at which countries themselves can borrow in the markets, and thus it has been advantageous for the countries to borrow instead from the World Bank.  The proposal now would be to charge an interest rate that is even less, by blending in donor funds to “buy down” the rates.

[For those unfamiliar with the structure of the World Bank Group:  Note this is for the IBRD.  There is also the affiliated International Development Agency – or IDA – that provides funds raised from donor nations as grants or highly concessional loans to the poorest member countries with a per capita income below some cut-off.  The discussion in this post will be primarily on the IBRD, as that is where the changes in the approach to lending would be made.]

It is not clear how much might be provided in such donor funds, and thus not clear how large of an impact this could have on the loan rates.  But even if they were large enough to reduce the interest rates by half, say, one should recognize that interest rates have been rising.  The rates on World Bank loans in the coming years, even if subsidized by donors, will likely still be more than where they were until recently.  This raises the question of whether country borrowers will be willing to take on such loans for these purposes at such subsidized rates going forward, if those rates – even after subsidies – are higher than what they were in the recent past.  They were not all that interested before.

But an approach based on subsidies would not be sustainable for any length of time.  While it is certainly true that fossil fuels (and other emitters of greenhouse gases) are subsidized implicitly by not having to pay for the cost of the damage they cause, the notion that it will be possible to out-subsidize such polluters by providing even greater subsidies to renewables is fanciful.  The scale of the issue is just too vast.  It is also not clear how long this would be pursued:  forever?

There is a need to rethink this.  Part of the problem may stem from the use of the term “global public goods”.  This term is not normally applied in economics to a polluter who cuts back on how much they pollute.  Pollution is more properly termed an externality, where costs are being imposed on others.  And what is being produced here – whether power or cement or steel or burping cows – are all private goods that will be sold in the market, ultimately to consumers.  The issue is how to have such private goods produced in ways that are financially viable while not pouring greenhouse gases into the air.

This is not impossible.  The generation of power from renewable sources, for example, is already competitive without subsidies in certain circumstances.  Its cost has come down tremendously over the past decade.  The key is to recognize that there is a tremendous diversity in conditions in the countries, and that in particular situations in particular locales, power from renewable sources can be the least-cost source of supply.  Power from the grid may not be available at all in certain locales, may be undependable even where it is technically available, and may in any case cost more than power from renewable sources even when it is available.  This is of course not the case everywhere right now, with current technologies.  But neither is it the case nowhere.

To exploit this will require a change in mindset for the World Bank.  It needs to shift from a top-down approach – where “priority” investments are identified in some fashion with a focus then on finding adequate funding (including subsidized funding, to the extent deemed necessary), to a more bottom-up opportunistic approach.  The focus should be on identifying investments that should be financially viable and then determine why they are not proceeding.  Sometimes financial support might be appropriate (and done together with private sources of finance), but often the real need is to address what is blocking such investments.  There might, for example, be policies (or simply the traditional practices of an integrated power monopoly) that bar renewable sources of power from integrating with the grid.  The World Bank can play an important role in introducing best practices on how this can be addressed.  And in some cases there might be a need for investment to strengthen the capacity of the transmission grid to accommodate decentralized sources of power from renewable sources.  The World Bank might be able to play a helpful role here as well.

But the aim should be for the World Bank to shift from a mindset that it can fund a series of static, one-off, investments that might well be individually beneficial, to support for changes that can lead to a more dynamic response.  The chart at the top of this post illustrates what was possible when mobile cellular providers (mostly private) were allowed to compete and provide telecommunication services, in contrast to the response of entities (mostly public and mostly monopolies) providing fixed-line services.  The technology was of course new and the analogy is far from perfect, but it is doubtful that if the traditional fixed-line providers had simply been provided with greater subsidized resources they would then have come anywhere close to what the new cellular providers were able to do in just a few years.  Cell phone service subscriptions in these countries (the lower and middle income nations of the world that are eligible to borrow from the IBRD or IDA) rose from just 300,000 in 1990, and still very little in the mid-1990s, to close to 7 billion by 2020.

If there is to be any hope that climate change is to be effectively addressed, with net greenhouse gas emissions brought down to anywhere close to zero by 2050, we will need a response closer to what the mobile cellular providers were able to provide than what would have been expected from the traditional fixed line phone monopolies.  The challenge will be how to structure the response to allow for dynamics that are more like that which was seen with mobile cellular services.  This will only be possible if well-managed firms, operating in often challenging country environments, are able to provide these private goods (whether power, or cement, or beef, or whatever) with clean technologies profitably.  If they are, financing will follow, as it did for the mobile cellular providers.  If they are not, the most that can reasonably be expected from trying to push subsidized financing onto them might be some limited static gain, but not the dynamics needed.

This post will start with a discussion of why a focus on engineering an expansion in World Bank lending for climate change, but with traditional approaches followed, is unlikely to achieve anything close to what is needed to address the challenge the world faces with climate change.  There is a need to rethink this.

As noted above, confusion might stem in part from the way the term “Global Public Goods” is being used.  That will be discussed next.  While this is in the end semantics, discussion of the issue has largely ignored that private, profit-seeking, firms produce the goods (or at least can produce the goods) that are at issue here. The penultimate section of this post will discuss what the prospects for this are – or at least could be – and what might be done to facilitate this.  The aim is for a response closer to the dynamics of what mobile cellular providers were able to achieve.

A concluding section will discuss briefly the related but different issue of World Bank financing being provided to countries to allow them to better adapt or respond to what the consequences of climate change have been for them – and will be for them.  This fits in better with traditional World Bank approaches.  There is also the separate question of whether “compensation” in some form should be paid by the countries whose past emissions have led to our climate change crisis (primarily, but not exclusively, the richer countries), to the generally lower-income countries that are now also suffering the consequences.  This may well be justified.  But that does not necessarily mean that such funds should be used to subsidize World Bank loans.  They are two separate issues.

An annex will then follow with an analysis of a related issue.  Calls have been made, including, significantly, in the October address of US Treasury Secretary Janet Yellen, for the World Bank to make better use of its callable capital to allow it to increase its lending.  Using figures from the IBRD’s audited financial statements, the annex will examine how much lending could be increased even if it were raised all the way to what the IBRD’s statutory loan limit (as set in the Articles of Agreement) allows.  We will find that it is not really all that much.  It will then look at what the impact might then be on the financial risks the IBRD faces and hence its credit rating.  We will see that the impact should not be seen as all that much either.  That is, it is probably worthwhile for the Bank to lend more against its current capital structure – the financial risks of doing so are modest.  But even the maximum extra lending possible given its callable capital will not be all that much when compared to the challenges following from climate change.  This is not going to solve the issue.

A second annex will then look at the interest rates that have been charged on World Bank loans in recent years, and why they are now rising quickly even though World Bank loans are long-term.  Many do not realize that while World Bank loans have maturities that can go out as far as 35 years, almost all are now at variable interest rates.  And those interest rates have risen sharply.  Even if highly subsidized, IBRD interest rates on new loans would likely still be well above where they were just a few years ago.

B.  A Traditional Approach, Whether Subsidized or Not, Will Not Suffice  

The investments that will be needed to address climate change will be huge.  There is of course a great deal of uncertainty on how much that might be, and estimates vary (although similar in that all are very high).  But for illustrative purposes one can use recent estimates from the McKinsey Global Institute in a major study released in January 2022.  McKinsey looked at what it would take to reach net zero carbon (greenhouse gas) emissions by 2050, over the thirty-year period of 2021 to 2050, in 69 countries accounting for 95% of global GDP, and focused on seven sectors accounting for 85% of greenhouse gas emissions:  power, industry (in particular cement, steel, and chemicals), transportation, buildings, agriculture, forestry and other land use, and waste management.  That is, the estimates are for the cost of the investments in physical assets only (and only in seven sectors) in order to reduce greenhouse gas emissions along a forecast path to net zero by 2050 in countries accounting for 95% of world GDP.  They do not include the also high costs of adapting to and repairing the damage from the consequences of climate change – consequences that are already well underway.

While partial, McKinsey estimated that the cost across the globe to reduce greenhouse gas emissions along this path will be $275 trillion over the 30 years.  One can calculate from the regional and major country figures presented in Exhibit 24 of the main text that $160 trillion of this would be in countries that can borrow from the World Bank Group.

In its FY2022, in contrast, the World Bank (counting both IBRD and IDA), made new loan commitments of just $13.2 billion for projects that included climate mitigation measures as at least one component of the project (with an additional $12.8 billion for projects that had climate adaptation measures as at least one component).  While this was a record amount for such lending from the IBRD and IDA, it is not much compared to what will be needed.  Assuming it could continue at this pace for 30 years (where one needs to remember that IDA funds come from donor nations), the total for mitigation investments (including IDA) would be less than $400 billion.  This would be 0.25% of the $160 trillion needed.  Allowing for growth in these lending commitments at some reasonable rate (say 4% a year in real terms), it is hard to see the total ever exceeding 0.5% of what will be needed for investments to cut greenhouse gas emissions alone, and thus not counting what will also be needed to address the damages caused by climate change.  Furthermore, the IBRD share of this would only be about half of that, with the other half (for IDA) dependent on how much donors will be willing to contribute.

In addition, World Bank projects normally cover a range of related activities.  The investments in any given World Bank funded project that are specifically for climate mitigation measures will only be one component, and thus will only account for some share (possibly small) of the total project loan amount.  But such a project will be included as one where “climate mitigation” was an element, and the full loan amounts (i.e. including for activities other than directly for climate mitigation) will be counted in the $13.2 billion total.  The funding for investments in climate mitigation alone will be less.

There are other issues as well.  One is that while calls are being made for the World Bank to step up its lending for climate mitigation (as well as adaptation), many of those calling for the stepped-up lending have also noted that many of the countries are already facing high public debt loads.  But the IBRD as well as IDA lend only to the public sector (or at least only with a government guarantee of the loans), so there is an inherent contradiction in adding to the public debt of a country borrower that may already be facing possible debt issues.

This might in part be resolved by reducing the costs of those loans through subsidies.  But those subsidies must be provided by donors, and the amounts that donors are willing and able to provide are limited.  It should be noted that IDA credits have always been highly subsidized (and funded by donors) – at first as very long-term loans (up to 50 years now) at highly concessional interest rates (and called a service charge), and in more recent years some as outright grants as well.  But there is no indication that donors are willing to provide funds of anywhere close to the scale that would be required to address climate change in those countries that are eligible for IDA credits.

What is different in the more recent proposals is that funds might be provided to subsidize certain IBRD loans as well, to bring down the interest rate charges on such loans to below what it costs the IBRD to make such loans.  As noted in the introduction above, the IBRD has in its over 75-year history lent funds to country borrowers at rates that suffice to cover the cost to the IBRD to borrow in the markets (a rate that is relatively low due to its AAA rating as well as other backing) plus a margin (currently about 0.8%, when all fees and other charges are taken into account) to cover its administrative costs and some retained earnings.  Subsidizing that IBRD rate to some level below what it costs the IBRD to make such loans would be a departure from the approach it has followed for three-quarters of a century.

How much lower the IBRD interest rates could be on loans for climate mitigation measures (and other global public goods) would depend on how much donor countries would be willing to provide.  What that might be is not at all clear at this point.  But interest rates have been rising, and even subsidized rates would likely be a good deal higher than what the borrowing rates were from the IBRD not all that long ago.  (See Annex II below for the numbers on this.)  Taken by itself, it is not at all clear that countries borrowing from the IBRD would be all that interested in borrowing for the designated climate change purposes even at a subsidized interest rate.  They were not all that interested in borrowing for such purposes in prior years, when the interest rates would have been even lower without any such subsidy.  There is more that needs to be addressed here.  Simply subsidizing interest rates will not resolve them.

There is also the not very good record of demand by borrowers from an IFC managed facility that used IDA funds to subsidize the financing of IFC-supported private projects in IDA member countries.  The IFC (International Finance Corporation) is also part of the World Bank Group (along with the IBRD and IDA), and is the arm that provides loan and/or equity finance to private projects in member countries.  While the borrower would be different (private investors in the IFC projects, vs. country governments in the IBRD projects), the lesson from this “IDA Private Sector Window” is that subsidized financing terms do not make all that much of a difference in the decision on whether to proceed with a project or not.  The facility was launched in 2017, but in the now more than five years since it began, it has (as of March 17, 2023), only committed $3.34 billion in funds in total (with disbursements only a share of this).  It claims to have led to total investments of $19.82 billion, but it is difficult to say how much of this would have been invested anyway even without the IDA subsidy.  And in the five years of 2017 through 2021, foreign direct investment in low and middle income countries totaled $3 trillion (based on what is reported in the World Bank Databank), so the share would have been tiny even if all of the $19.82 billion is counted.

One should not, therefore, expect that a traditional World Bank approach – whether with subsidized interest rates or not – will suffice to meet the enormous challenge of what needs to be done to mitigate climate change and put the world on a sustainable path.  The magnitude of what the World Bank could support through its traditional approach – even with measures to expand that capacity – is simply far too small given the challenge.  It is also not at all clear that the subsidies that might be provided would make all that much of a difference either.

The World Bank and its member governments need to re-examine its strategy if it is to play a meaningful role on climate change.

C.  A Different Approach

Resolving this will certainly not be easy.  Polluters gain an advantage by being able to shift part of their costs on to others – by not paying compensation for the damage they cause.  There is also no ceiling on the costs they are thus able to shift to others:  The more they produce, the greater the costs they impose on others, and the greater the implicit subsidy they enjoy by not having to pay for those costs.

In contrast, a strategy of subsidizing those who do not pollute is limited.  Those subsidies need to come out of some government budget, and there is only so much that can be provided.  There will thus be a ceiling on what can be done through a reliance on such subsidies, and as discussed above on the magnitudes involved, that ceiling is far less than what would be needed.  Furthermore, reliance on such subsidies is certainly not sustainable.  They cannot continue forever.

There is a need to rethink this.  To start, it is useful to clarify the terms being used.  While the issue is being portrayed as one of “global public goods”, the meaning of that is different from what economists normally refer to as “public goods”.  To an economist, a “public good” is defined as some product that (in the rather ugly terms economists like to use) is both “non-rivalrous” and “non-excludable”.  Non-rivalrous means that if one person uses it, others can as well.  And non-excludable means that if I have access to it, others will as well and cannot be excluded.  Thus a commonly cited example of a public good is spending on the military to defend a nation.  I enjoy the benefits of that protection but others do as well (non-rivalrous), and if the military defends me it will similarly benefit all others in the nation (non-excludable).  A piece of cake, in contrast, is not a public good.  If I eat it, then others cannot, and if I have it I can exclude others from it.

The concept of global public goods as used in this discussion on climate change is referring to something a bit different.  It is not referring to the goods themselves being produced, but rather to whether those goods are being produced in a way that does not lead to pollution costs being imposed on others.  While there will be benefits for all to enjoy (a planet that is not wreaking as much damage as it would if heated up more), this shifts attention away from what is being produced (e.g. electric power, cement, cows) to how it is being produced.  But how it is being produced is causing what economists would usually refer to as an externality, not a public good.  And what is needed is for the goods to be produced in a way that does not impose this externality (the pollution costs) on others.

In the end this is just semantics.  But it diverts attention from the fact that regular goods are being produced (electric power, etc.) for sale ultimately to consumers, and there is a need to shift that production to methods that do not lead to such pollution.  The only financially viable and sustainable way to achieve this is for such production to be profitable.  And when one can achieve this (without subsidies), one can then follow the type of dynamics that led to the explosion in the provision of mobile cellular services (such as shown in the chart at the top of this post), rather than the limited static shifts that would follow if one were to rely on case-by-case subsidies.

Such viable investments are now often possible:  not everywhere, but neither nowhere.  Clean technologies are being developed – primarily in the richer countries – and the issue for those countries that can borrow from the World Bank Group is whether they will make use of them.

To take a specific example, the cost of generating power by solar panels has fallen by 90% in the US since 2009, to only $30 to $40 per megawatt-hour (MWHr) – equivalent to 3 to 4 cents per kilowatt-hour (KWHr) – for utility scale systems.  The cost of on-shore wind generated power is similar.  These are the costs before any subsidies.  (Note that these costs are measured in terms of what is called the “levelized cost of energy”, or LCOE, which is the full cost – both operating costs and capital costs – over the system’s entire lifetime expressed per megawatt-hour generated, and properly discounted over time.)

In contrast, the cost in the US for a new coal-fired plant is on the order of $80 per MWHr.  Indeed, the cost of newly built solar and wind sources of power can even be below just the marginal cost of continuing to operate an existing coal-burning plant, given the cost of coal and of the other operating and maintenance costs of such plants.  This is in particular true for older coal-burning plants, where their older and less efficient technologies are more costly to operate.

Depending on the situation (i.e. the adequacy of the connections to the grid as well as how large a share of the power being supplied is from intermittent sources) one might also need the ability to store power from the solar and wind systems.  The cost of storage will vary tremendously based on the locale, but can be low.  For example, in countries where hydro systems are a major source of power generation, one can often use solar-powered generation systems during the day while the hydro-powered systems are used at night or other times when the sun is not shining.  And hydro systems currently dominate in low-income countries, accounting for 71% of power generation in Central Africa, 66% in East Africa, and 63% in the low-income countries of the world as a whole.  In such cases where hydro accounts for a high share of the power generated, they can provide the flexibility needed to manage intermittent sources – assuming, of course, there is a willingness to do so.

But even with other methods to store power from intermittent sources such as solar or wind, the cost of power from renewable sources will often be below the cost of generating it from burning fossil fuels.  It really depends on the particular circumstances of the location.  The power markets themselves are also often highly fragmented, with high costs in some locales and lower costs in others (although the prices charged might not reflect this).  And indeed, in many places power from the grid may not be available at all (or not available reliably), thus leading those who need such power to purchase expensive diesel-powered backup generators.

The key point is there is great heterogeneity in the conditions that determine the cost of obtaining power in any given country, and even more so across countries.  Solar and wind generated power are not always cheaper everywhere today.  But they are cheaper in many situations today, and are also rapidly falling further in cost so this advantage will spread in the years to come.  The issue, rather, is that even where they have an advantage in cost, they are not being adopted as rapidly as they should.

The reason for this stems first from policy.  Power from renewable sources is not always welcomed – and thus not allowed – as a contribution to the grid.  Mobile cellular providers often faced similar such obstacles in their early years, as telecommunications was in many places a public monopoly and the existing operators did not want to allow such competition.  Those rules had to be changed to allow mobile cellular services to compete.  There is a similar need if renewable sources of energy, such as from solar and wind, are going to be allowed to grow.

The World Bank can and should play an important role in this.  It will not come from funding an isolated power generation project, but rather from working with countries to share best practices so that power from renewable resources will be allowed to provide power where they have an advantage in doing so.  World Bank funded investments might also play a high-leverage role in certain cases.  For example, there will typically be a need to upgrade the capacity of the transmission grid if it is to accommodate power generated from decentralized and intermittent renewable sources.  World Bank financial support to such investments might well be appropriate, and when in place would then make possible far greater investments (making use of other funding sources) in new generation from renewables.

One should also recognize that while there will be global benefits when power generation is switched from burning fossil fuels – with their greenhouse gas emissions – to sources such as solar or wind, there will also often be substantial local benefits.  One does not exclude the other.  Coal, for example, is an especially dirty fuel, not only from more greenhouse gases being emitted than from any other source of power generation (per KWHr generated), but also from sulfur and nitric oxides going into the air (leading to acid rain and other issues), mercury and other heavy metals going into bodies of water (and hence the fish caught there), and most obviously, the particulate matter going out the smokestacks.  Especially toxic is PM2.5 (particulate matter smaller than 2.5 microns in size), which can make the necessary act of breathing hazardous to one’s health.  The burning of coal is a major source of this (along with other practices – such as the burning of residues on agricultural lands – that also produce greenhouse gases in addition to the particulate matter in the air), and has led to pollution crises in a number of countries.  This has become an especially severe problem in recent years in major cities of the subcontinent (Bangladesh, India, and Pakistan), with levels averaging 10 times or more than what is considered safe in the WHO guidelines.  Many cities in China have had similar issues.

Countries therefore also have a local interest in reducing their burning of coal and other fossil fuels.  There are certainly global benefits from switching away from these sources of greenhouse gases, but one should not forget there will be local benefits as well.

But the steps necessary to allow and elicit a dynamic response in the investments required to address climate change have not always been the focus of what the World Bank has funded.  A recent example of the Bank’s traditional approach would be the large, $439.5 million, IBRD loan (for a $497 million project) approved in early November 2022 to support the final decommissioning of the Komati coal-burning power plant in South Africa, and replacing it with power from solar and wind sources.  The Komati power plant was an old and large plant, originally commissioned in 1961, that at one time had a capacity of 1,000 MW from nine coal-burning generating units.  Only one coal-burning unit (with a current capacity of just 121 MW) was still in operation, and will now be closed.  In replacement, and making use of the infrastructure already there to connect to the transmission grid, they will now install 150 MW of solar capacity, 70 MW of wind capacity, and 150 MW of battery storage.

The project, in isolation, may well be a good one.  But it will be a one-off gain that will still leave us far from where we need to be to address climate change.  And by itself it will absorb a substantial share of what the World Bank can lend for such projects.  In the World Bank’s fiscal year 2022 (that ended on June 30, 2022), the total lending of the IBRD and IDA together for climate mitigation was $13.2 billion, as noted above.  The IBRD (the source of the Komati loan) accounted for probably about half of that (I have not seen figures with an IBRD and IDA breakdown of funding for climate mitigation).  While the Komati project will be in the Bank’s fiscal year 2023, that single operation for a single power plant will likely account for a high share of what the IBRD will have lent for climate mitigation purposes in this fiscal year.

But there are broader issues in South Africa that limit the generation of power from renewable sources.  The Komati plant is operated by Eskom, the vertically-integrated power monopoly in South Africa (covering transmission and distribution in addition to generation), which is 100% owned by the Government of South Africa.  While I do not know all of the specifics of the Komati project, there is no mention in the World Bank released summary of it that anything broader is being done to address the more fundamental problems of Eskom itself – problems that not only have blocked competing sources of power from renewable sources developing but have also led to a major crisis in the country with highly disruptive rolling blackouts even while incurring major fiscal costs.  While reform of Eskom has been long discussed, powerful vested interests have blocked progress.  But until this becomes possible, one will not see the dynamics required to transform energy generation in South Africa to renewable sources, and isolated projects such as Komati will accomplish little.

A policy environment that allows competing suppliers of power from renewable sources is one side of what is needed if there is to be a dynamic response closer to that which was seen with mobile cellular services.  The World Bank, as noted, can and should have an important role in supporting this.  The other side will be an ecosystem of firms that can provide such services and operate profitably in the sometimes difficult business environments of these countries.  But there is a “chicken and egg” issue here as there will be no such firms in countries where they are not allowed to provide such services.

That does not mean that such an ecosystem of firms cannot develop rapidly.  One saw this, again, in the development of mobile cellular services.  And while what will be required to reduce greenhouse gas emissions will often be new in many of the countries, one is starting with a number of firms – both public and private – operating in not too dissimilar sectors.  There will also be an important role for foreign firms, both for the expertise they can provide and their access to resources – both technological and financial.

Within the World Bank Group, the International Finance Corporation (IFC) works with private firms to develop their capacity to implement successful investment projects in their respective markets.  The IFC may make loans for such projects but may also fund a direct equity stake in the firm itself, with the objective of seeing the firms and their projects succeed.  When they do succeed, the IFC loans will be repaid in full and the IFC equity interest will increase in value.

The IFC thus can play a valuable role in supporting the development of the system of firms that will be necessary if climate change is to be successfully addressed.  And such support can have repercussions well beyond the individual firm itself.  As an example from the US, the Obama administration in 2009 provided a $465 million loan to Tesla, at a critical time for the company.  Tesla came out of this successfully, repaid that loan in full five years early, and arguably has done more to develop the market for electric cars than any other company in the world.  While the Tesla case is obviously exceptional in the extreme, one does not need many examples of far more limited but still viable firms to have a major impact.  And, while coincidental, one might note that the $465 million loan provided to Tesla by the Obama administration is similar to the $497 million cost of the Komati project.  But the impact has been orders of magnitude greater than what can expect from Komati.

Finally, this approach of focusing on what is needed to be successful in the provision of power from renewable sources and in the application of other clean technologies – possibly in niche markets to start – also shifts the focus away from an obsession with finding funding.  Rather, when the investments themselves are viable and profitable, with firms that can function effectively in the often difficult operating environments of many countries, funding will be found.

An example of this is again provided in the rapid expansion of mobile cellular services.  Funding of course had to be found, but the firms could do this and funding itself did not block what was a tremendous expansion.  The service was viable (initially in niche markets, which then grew as the technology further developed and costs declined), and with this viability the firms were able to secure the funding they needed.  Similarly, funding per se is unlikely to be the critical constraint in an approach that focuses on projects that are viable – at first in specific locales where conditions allow the products to be produced profitably as well as cleanly, and later more broadly.

Note also that this addresses the concern that public debt levels are already high in a number of the countries the World Bank lends to.  Pushing further public debt on them could lead to problems, even though it is recognized that greenhouse gas emissions need to be reduced.  The strategy suggested here of focusing attention on projects that are or could be made to be (in the right policy environment) profitable resolves this as the investments themselves will generate the revenues needed to pay back the debts incurred (from the sale of the power generated, for example).

The example used in this discussion to illustrate the issues was that of power generated from renewable sources – solar or wind.  And the power sector will be central if greenhouse gas emissions are to be reduced to a net of zero by 2050, both because of the greenhouse gases being emitted today in the power sector from burning fossil fuels, and because clean power will also be needed to support the transition in a number of other sectors.  But there are similar opportunities in other sectors that will be critical in reducing greenhouse gas emissions to reach the net zero target of 2050.  The World Bank Group would have an important role in these as well, if it so chooses.  The key point is that, as for power, the diverse range of conditions within and across countries leads to opportunities where greenhouse gas emissions could be reduced without, in the particular circumstances of the location, requiring subsidies to be viable.

For example, in crop agriculture, practices such as minimum tilling, the planting of cover crops, and the introduction of organic matter can lead to substantial sequestration of carbon in the soils while increasing yields.  In forestry, a focus on suitable areas where fast-growing trees can be planted and farmed on a sustainable basis will both help protect existing, old-growth, forests (as one substitutes for the timber that would otherwise be taken from the old-growth forests), and would also, as they grow, absorb CO2 directly.  And livestock are a major source of greenhouse gas emissions, in particular of methane, but basic things such as better management of the manure produced (which can be valuable when done right) to more commercial activities such as the use of certain feed additives, can cut their methane emissions sharply.  The World Bank can provide support both directly for such activities as well as advise on best practices that will encourage (and in some cases simply permit) them.  And the IFC can provide support to the commercial firms that would be involved.

Or in another, and difficult, sector:  Cement production is a major source of CO2 emissions, in part due to the chemistry of the process involved in making cement.  Cement is also a sector where the IFC has historically been quite active.  But there are things that can be done to reduce CO2 emissions from the production of cement, by, for example, improving energy efficiency, converting any of the wet-process plants still in operation to more efficient dry process plants, substitution of different materials for clinker, and similar approaches.  The IFC can provide support to this through its investments in the sector.

D.  Final Points

The basic recommendation being made is that while the World Bank Group has a major role to play if greenhouse gas emissions are to be reduced to anywhere close to a net of zero by 2050, that role does not derive primarily from the funding that it would – or could – provide.  The funding needs are so large that whatever the World Bank might be able to provide would be tiny compared to the scale of the problem.  And this would be true even if, with funding support from its shareholders, it would be able through some means to double or even triple what it could otherwise provide.  It would still be small.

The strategy needs to be rethought.  Rather than approach this in a top-down fashion – where some decision is made at the top on what investments to support, and then a determination is made on what level of subsidies would be required to get those investments done – the recommendation is to follow a more bottom-up opportunistic strategy.  The key point to recognize is the diversity of conditions within as well as across countries, and that under certain circumstances in certain locations, investments can be made that will both reduce greenhouse gas emissions and be financially viable and sustainable on their own.  For example, in places where power is expensive or unreliable, it may well make sense (and be profitable) for households, or firms, or entire communities to install systems of solar power generation (with suitable storage).

The focus of the World Bank Group should be to seek out and understand better why such opportunities exist but are not being funded now.  It might then provide support directly, either by the World Bank proper (IBRD or IDA), or if private firms are involved then by the IFC.  More commonly, it would work with member country governments to remove the roadblocks hindering such investments and then to facilitate and widen such opportunities.  Sometimes it might be as straightforward as simply making it legal for decentralized sources of renewable power generation to feed into the grid.  In others, it might require investments to strengthen the power transmission grid so that it can accommodate and make good use of renewable sources of generation.  

In such a framework, the generation of power from renewable sources can be financially viable (that is, able to repay the investment required) and hence sustainable.  Access to subsidies would not be a pre-condition.  One could then have a dynamic process more similar to that which led to led to the tremendous expansion of mobile cellular services in these countries over a space of just a few years.  And it is such a dynamic process that is needed, rather than the more static process of case-by-case projects being funded when sufficient subsidized finance is found.

This discussion has been about those investments that, when implemented, reduce greenhouse gas emissions either directly or, more commonly, by substituting for more polluting existing producers.  In addition to such investments for climate mitigation, there are also investments for climate adaptation.  The latter are investments to address the consequences of climate change, such as less reliable rainfall (leading sometimes to droughts and sometimes to floods), or more intense storms, or greater average heat making certain crops no longer viable where they have traditionally been grown, or encroachment on to lands (and resulting salinization) from rising sea levels, and so on.

Major investments will be required to address such issues.  But they are issues where the traditional approach taken by the World Bank in supporting country efforts can be appropriate.

A related topic that has been raised by some is whether the countries whose greenhouse gas emissions over the last several centuries led to the now excessive levels heating up the planet (with most, although not all, of these countries also now relatively rich) should pay compensation in some form to those countries (mostly relatively poor) who are suffering the consequences of this change in the climate.  While some people would tie such payments to grants that would be provided to the latter group of countries to reduce their greenhouse gas emissions, there is no logical reason – if they are indeed to be considered as compensation – why they should be connected in that way.

Rather, if such payments are to be made as compensation for the damage that has been done to the (often poor) countries that are suffering from the consequences of climate change but were not responsible for it, then that compensation should instead be in accordance with the damage that has been (and will be) done.  Some countries have been damaged more than others, and some are more vulnerable to future damage than others.  There has been and will be a great deal of variation in these impacts across countries.  Indeed, it is possible (although probably rare) that the impact on certain countries or regions within countries could even be positive through, for example, better rainfall patterns for them.  And more specifically, damages should not really be assessed at the broad level of a country, but rather at groups living within the country.  Some may be suffering greatly as a result of climate change, and others not so much.

Hence if compensation is to be provided and linked to specific programs or investments, it would make greater logical sense to tie these to climate adaptation investments rather than to climate mitigation.  One can understand the interest donor nations have in climate mitigation, but if this is compensation for the damage done then logically one should tie such funding to activities that will provide relief to those who have been or will be affected adversely by climate change.

Furthermore, for the reasons discussed above, directing subsidies to investments to reduce greenhouse gas emissions is unlikely to get one very far.  There may be some limited, static, gains, but given the scale of the problem, such subsidies at any level that can reasonably be expected will be far from what would suffice to address the challenge of climate change.

To conclude, what will be needed will be to address the fundamental underlying issues that need to be resolved to make investments in clean technologies and methods viable.  Fortunately, there is much that can already be done, given the current technologies plus the diversity of conditions within and across countries.  The technologies are also improving rapidly, given the expenditures that are being made primarily in the richer countries to develop them.  For the countries that can borrow from the World Bank, the basic question will be how open they will be to adopting these technologies and methods – both those available now and as they are further developed in the coming years.

 

Annex I:  The Financial Implications of Making “Full Use” of the IBRD’s Callable Capital

The G20 assembled an expert panel (chaired by Ms. Frannie Léautier) to assess and make recommendations on the capital adequacy frameworks of the multilateral development banks, with a view to boosting their capacity to lend.  Their final report was released publicly in July 2022, and can be found at the website of the Italian Ministry of Economy and Finance.  (For some reason, it does not appear to be available at the G20 website.)

The release of the G20 Panel report led to a good deal of discussion on the merits of various approaches whereby, even with their current levels of capital, the multilateral development banks (MDBs) would be able to lend significantly more than they are now.  If financially prudent, this would be attractive to the shareholder countries that fund the capital of the MDBs given the huge need – for climate change as well as much more.

Much of the discussion has focused on the possibility of “leveraging callable capital”, although that term per se does not appear in the G20 Panel report and different authors appear to mean different things by it.  In this annex I will look at one specific possibility, which would be to increase annual lending (in the specific case of the IBRD) by an amount that would, over time, raise the stock of loans outstanding all the way to the “Statutory Lending Ceiling” (or SLL, and which grammatically would make more sense as the Statutory Loan Ceiling, as it is the stock of loans that is limited and not some figure on lending.  However, the World Bank’s audited financial statements refer to it as the Statutory Lending Ceiling.)

The SLL is set in the IBRD’s Articles of Agreement as a ceiling on the stock of outstanding loans that the IBRD is permitted to make to its member countries.  It is defined (as stated in the Management Discussion and Analysis accompanying the June 30, 2022, audited financial statements) to be equal to “the sum of unimpaired subscribed capital, reserves and surplus”.  Subscribed capital includes both paid-in capital and callable capital, and unimpaired means the amount that is immediately available and usable in the accounts of the IBRD.  The SLL was $339.0 billion as of June 30, 2022 (where all figures in this annex on stocks will be as of June 30, 2022 – the end of the IBRD’s fiscal year 2022 – and taken from the audited financial statements of that date).

IBRD loans outstanding to member countries as of that date totaled $229.25 billion in terms of what is labeled the ‘total exposure” on loans.  In terms of loans as measured for the SLL it is a bit higher at $235.7 billion, with the difference (it appears, although this is not fully spelled out) largely due to counting the full value of guarantees and not just their present value, plus possibly also due to how loan provisions are treated.

Based on the $235.7 billion measure of loans outstanding, then if the IBRD lent fully up to the SLL limit of $339.0 billion, its loan portfolio could grow by $103.3  billion.  Assuming that in equilibrium the additional lending would have the same average maturity as the existing IBRD portfolio (which was 8.75 years on the loans outstanding as of June 30, 2022), that would allow the IBRD to lend an additional $11.8 billion per year.  The IBRD lent $33.1 billion in its fiscal year 2022, so this would be an increase of 36%.  Lending an additional $11.8 billion per year over 30 years would total $354 billion.  This is not much when compared to the $160 trillion the McKinsey study concluded would be needed for investments in climate mitigation alone by 2050 in the countries that can borrow from the World Bank.

Would it be prudent to lend up to the SLL?  This is of course examined from many different angles as the IBRD manages its financial risks, but a core measure is the ratio of the IBRD’s usable equity to the loans outstanding.  The IBRD’s usable equity is the sum of its usable paid-in capital (the paid-in capital that is immediately usable by the IBRD – which in practice has been most of it) plus reserves that have been accumulated from retained earnings since the IBRD began operations more than 75 years ago, plus some small translation and other adjustments to reflect primarily conversions into dollars from other currencies. 

As of June 30, 2022, the figures were (in millions of US dollars):

Paid-in Capital: $20,499
  of which Usable Paid-in Capital: $19,352
General Reserve: $32,053
Special Reserve:               $293
Translation and other adjustments:  -$1,217
  = Usable Equity $50,481

This usable equity as a share of the Bank’s loan portfolio (using the $229.25 billion measure of total loan exposure) comes to 22.0% ( = $50,481 / $229,250).  The IBRD has followed a policy to keep this ratio at 20.0% or higher.  Note also – for those who have not thought through what the figures imply – that the IBRD’s loan portfolio at $229.25 billion is of course already far above its usable equity.  That is, this equity ratio is 22%, not 100%.  Thus protection from the callable capital guarantees is already being used to a certain extent.  In the extremely unlikely event that the entire portfolio went into permanent default with nothing paid back, there would be a need to call on the callable capital to ensure IBRD borrowings in the bond markets could be paid back.  Thus the backing of the callable capital guarantees is already in effect being leveraged.  The question is not whether this should be done, but rather the degree to which it should be done.

If the loan portfolio were allowed to grow all the way to the SLL, that ratio of usable equity to the thus higher loan portfolio would likely fall.  To properly assess by how much one would need a full spreadsheet model of how the IBRD’s balance sheet would evolve over time as the pace of new lending is increased, the new loans are disbursed (which typically takes years for the IBRD), and as the portfolio then grows.  Over time, as the portfolio slowly grows the IBRD would also have increased earnings from it (a portion of which would be retained), and hence the figure for usable equity in the numerator of the ratio would also grow.

But taking as an extreme case one where the loan portfolio somehow grew instantly to the full SLL (of $339.0 billion as of June 30), with the usable equity unchanged at $50,481 million, the ratio would only fall to $50,481 / $339,000 = 14.9%.  That is not all that far from the 20.0% ratio of current IBRD risk management policy.  And as noted, since the portfolio would grow only slowly over time, during which usable equity would also grow, the ultimate ratio would likely be well higher than the close to 15% ratio resulting from an instantaneous change in the size of the portfolio.

Such equity ratios may be a helpful guide as a quick and easy indicator of possible risk, but do not themselves measure whether a financial institution may soon face solvency issues.  Stress tests of the balance sheet can provide a clearer indication of the extent to which the financial institution can tolerate non-payment on its loans.

For example, a question that could be asked is what share of the portfolio would need to go into default – with neither principal nor interest paid for some period of time (which I will take to be five years for these scenarios) – for the IBRD to use up its entire usable equity and thus force a call on its callable capital in order to keep being able to pay IBRD bondholders the amounts coming due.  If that share of the portfolio is high, the likelihood of so many borrowing countries going into default simultaneously (and unresolved in some way for five full years) is low.

Only a simple estimate is possible as I do not have a complete spreadsheet model of the IBRD balance sheet and how it might evolve over time as some portion of its portfolio goes into default.  But for the purposes here it should give a sense of the magnitudes involved.

The figures needed for the calculation are (as of June 30, 2022, in $ millions):

Usable Equity:   $50,481
Loan exposure: $229,344
Principal due in next 5 years:   $70,251
Share due in next 5 years: 30.6% = $70,251/$229,344
SLL: $339,000

From this, together with an assumption on interest rates, one can calculate what share of the portfolio would need to go into default, with neither principal nor interest paid for a period of at least 5 years, for the IBRD to be forced to use up all of its usable equity by the end of the fifth year and hence require a call on its callable capital.

That share will depend on the interest rate over the five-year period.  There are two issues.  First, interest rates are going up (as is discussed in Annex II below), and we do not know at this point what those interest rates will be over the next five years.  Thus I will provide below the consequences for a range of plausible average rates, where we will likely end up somewhere within this range.  And second, there is the interest that will be due both for the loans made to the country borrowers in default and hence not received, and also for the borrowings in the bond markets that the World Bank has made and which will need to be paid.  The rates the IBRD charges the country borrowers are on average about 0.8% points above the rates that the IBRD pays in the markets, as was described in the text, when all margins and other fees and commissions on loans are included.

Which of these two rates should one use for these calculations?  While one might argue that the rates charged the IBRD borrowers (and not being paid by those in default) would be the relevant loss, those rates are on average about 0.8% higher than what those funds cost the IBRD.  That 0.8% margin covers both the IBRD’s administrative costs (which would remain) and also net earnings of the IBRD which are retained (or used for optional other purposes, such as transfers to IDA).  The retained earnings would be accumulated in the IBRD’s usable equity, but in the simple calculations being done here (since I do not have a full spreadsheet model to include the feedback effects), that usable equity figure is being adjusted solely by whatever is not being paid on the principal and interest on the loans assumed to be in default.  That is, the calculations do not include the effects of whatever would be added to usable equity during the five years from the net earnings on loans that are not in default.

If the IBRD’s administrative costs are being covered (or more than covered) by earnings on the share of the portfolio not in default, then using the interest rate on the IBRD’s borrowings rather than on its loans would be more consistent with the assumptions being made on usable equity.  And the IBRD’s administrative costs would be covered in the scenarios considered here.  On average over the five years from FY2018 through FY2022, the IBRD’s administrative costs accounted for a bit less than half (46%) of gross earnings, and hence what the World Bank calls its “Allocable Income” accounted for 54%.  Thus if the share of the portfolio in default is 54% or less, the share of the portfolio that is not in default would suffice to cover administrative expenses.  For this reason, the interest rate used in the calculations below is that on the cost of IBRD borrowing.

The resulting shares of the portfolio that would need to be in default for five years for the usable equity to be depleted (under the stated assumptions) at various interest rates would then be:

A)  With loans as in the balance sheet of June 30, 2022 (i.e. at $229,344):

Interest Rate on Loans   3.0%   4.0%   5.0%
Interest Rate on Borrowings   2.2%   3.2%   4.2%
Share of Loans in Default  52.9% 47.2% 42.6%

B)  With loans at the SLL limit of $339,000:

Interest Rate on Loans   3.0%   4.0%   5.0%
Interest Rate on Borrowings   2.2%   3.2%   4.2%
Share of Loans in Default  35.8% 31.9% 28.8%

Note:  In the loans at the SLL ceiling scenario, it is assumed that the share of the portfolio due in the next five years is the same share (30.6%) of the SLL portfolio as it was in the actual loan portfolio as of June 30, 2022.  It is also assumed to be the same share for the loans in default as for the overall portfolio.  Also, the interest due is not compounded over time, but rather is simply the sum (over five years) of the interest that would be due each year on the share of the portfolio that is in default.  

To arrive at the percentage shares of the portfolio that would need to be default for a five-year period to deplete what was available in usable equity (of $50,481 million to start) requires a bit of high school algebra.  But one can easily confirm the resulting figures shown here are correct.  For example, with the IBRD current balance sheet, and with interest rates assumed to average over the five years at 3.0% on the IBRD’s loans to the country borrowers (and 2.2% as the cost to the IBRD of the funds lent), the share of the overall IBRD portfolio that would need to be in default for a full five years, with no resolution of the problem within that time, would be 52.9% of the portfolio – or a bit more than half.  To confirm this, if one takes 52.9% of the $70,251 million that will be coming due in the next five years (where it is assumed that the maturity profile is the same for the borrowers in default as for the overall portfolio), and adds to this 52.9% of the interest that would be paid on the borrowed funds for the Bank’s total loans (i.e. 52.9% of 2.2% a year for five years on the portfolio of $229,344 million), the sum will come to $50,481 million.

The results are rough as simplifying assumptions had to be made.  But the basic conclusion one can draw is that with the portfolio where it was on June 30, 2022, roughly half of the portfolio would need to go into default and remain there with no resolution for at least five years before the IBRD’s usable equity would have been depleted.  Only at that point would there need to be a call on callable capital.  The likelihood of half of the IBRD’s portfolio going into default for five years with no resolution within that time frame is certainly minimal.

In the scenario where the IBRD loan portfolio somehow instantly jumped to the SLL limit (with usable equity unchanged at $50,481 million), the share of this larger portfolio that would need to go into default in order to deplete the usable equity within five years would, of course, be less.  But even here, and in this extreme case of leaving the usable equity at where it was on June 30, 2022, that share of the larger SLL portfolio would still be high – at roughly a third.  The World Bank has never in its history seen defaults in its portfolio at anywhere close to this.  Currently, only one country is in default to the IBRD – Zimbabwe, with outstanding loans of $428 million, or 0.2% of the IBRD loan portfolio.  And even in this case, the IBRD received a partial payment of $3 million from Zimbabwe in FY2022.

Bringing loans all the way up to the SLL ceiling is just one scenario, and some would see it as an extreme case of how much extra lending the World Bank could provide.  Based on the results found here, I would not see the risks to the IBRD’s financial standing to be all that much different than what they are now – they would still be minuscule.

But while the financial risks would still be low, the amount of extra lending the IBRD could provide and bring the portfolio all the way to the SLL ceiling would also not be all that much greater – just an extra $11.8 billion a year when the portfolio is in equilibrium, or 36% more than the $33.1 billion the IBRD lent in its FY2022.  Thus while the increased risks of a larger portfolio with the same capital as now would not appear to be excessive, the gains in terms of a greater volume of lending from the IBRD would not be all that much either.  It may well be worthwhile, but it would certainly still be very far from what is needed to address climate change.   

Some would have the IBRD increase its lending by more than this, and possibly by much more.  If this were to be done in the traditional fashion of a capital increase funded by the shareholders, then the risks could be kept similar to where they are now – i.e. extremely low.  But the discussion that has been underway has been on ways to “stretch the balance sheet”, by boosting MDB lending without the need for an accompanying capital increase.  Many have interpreted the G20 Expert Panel report as supporting this.

However, the position on this in the G20 Panel report is not so clear.  They do not make an explicit recommendation on how much additional lending should be provided.  But they do make the recommendation that the risk management framework of the MDBs should move away from the hard limit of the SLL ceiling (reflected in the Articles of Agreement of the IBRD and similar documents for the other MDBs), to a more flexible assessment more in line with the risk management framework of the Basel III accords.  The G20 Panel sees this as a more modern system for assessing risks, and that in the case of the MDBs those risk assessments should take into account both the traditionally provided (although not legally mandated) preferred creditor status accorded the MDBs (so debt service has traditionally been paid to the IBRD and other MDBs even when the country is in default to other creditors), plus also the value of the callable capital on the balance sheets of most of the MDBs (the IFC does not have this).  That callable capital is in effect a guarantee.  If there were to be a period of extreme financial stress that led to a need to call on that callable capital, the G20 Panel recognizes that the callable capital obligations might not be paid in full.  Thus they recognized that a valuation at 100% of the face value of these guarantees would not be appropriate.  But the callable capital nonetheless has some value – greater than zero – and the G20 Panel recommended that this value should be taken better into account when lending levels are decided.

The elimination of the hard SLL limit would require, at least in the case of the IBRD, a change to its Articles of Agreement.  This would be a major event.  And while I am not a lawyer, I assume there would then also be a need to make changes in the legal documents that accompany the bonds the IBRD has issued and are outstanding.

IBRD lending in excess of the current SLL limit but with the same IBRD capitalization as now could affect its financial risks, depending on how far higher the lending would be raised.  Depending on this extent, the AAA rating that the IBRD has had for most of its history could be affected.  But it all depends on how far one would go.  From the calculations here, I would not conclude that increasing lending to bring the portfolio all the way up to the SLL as currently defined would increase the risks by all that much.  But if one goes well beyond this, the situation would be different and would need to be assessed based on the specifics assumed.

 

Annex II:  Prospects for Interest Rates on World Bank Loans

IBRD loans to borrowing member countries are long-term – up to 35 years for the maximum maturity (albeit with a limit of 20 years on the average maturity based on how repayments are structured).  But while the maturities are long, many people may not realize that the interest rates on these loans are mostly now determined in terms of variable rates, tied to certain overnight benchmark rates.  While there is an option to take out such loans at fixed rates rather than floating rates (where the IBRD will use derivative instruments to go from floating to fixed), it appears few borrowers have chosen to make use of that option.

With interest rates rising, borrowing countries are now paying substantially more in interest on their IBRD loans than they were just a year ago.  This annex will look at the recent path of the most relevant benchmark interest rate and the consequent path of what is being paid on IBRD loans.  But first a brief description will be provided of the IBRD’s primary loan product, which it calls the IBRD Flexible Loan (or IFL).  The IBRD also has various guarantee products and some other special loan instruments, but they are relatively minor in magnitude.  One should also not confuse loans made by the IBRD with loans (as well as grants) from IDA.  IDA has its own, separate, balance sheet.

The structure of the IBRD Flexible Loan allows for a wide range of possible alternatives on terms such as whether fixed or floating, the currency of denomination, the repayment schedule, and similarly.  The IBRD Treasury will arrange for what is chosen by the borrower, using derivative instruments available in the financial markets, but with the basic principle that the borrower will pay the cost of whatever is chosen.  Thus the IFL can be made in any of four basic currencies (the US dollar, the euro, Japanese yen, or British pounds), with a cost linked to the cost of IBRD borrowing in any of those currencies.  In practice, however, 80% of the outstanding loans as of June 30, 2022, were in US dollars, 18% were in euros, and only 2% in other currencies.  For the discussion here, I will primarily focus on the structures in US dollars.

But beyond those four core currency options, the IBRD is willing to structure the loan in any of a wide range of other currencies, including in certain currencies of the borrowing members (such as Mexican pesos).  To do this it would enter into derivative contracts in those currencies to effectively convert the repayment obligations from one of the four core currencies (almost always the US dollar) into whatever currency is chosen, and pass along whatever the cost is of doing this (along with a small service charge for the IBRD) to the borrower of the loan.  And it will do this going out to whatever maturities can be cost-effectively so converted (with the agreement of the borrower).

The basic principle applies to other such alternatives.  Thus the borrower might, for example, prefer a fixed rate loan rather than a floating rate.  The IBRD Treasury will arrange for this using derivative instruments (out to whatever period is reasonably possible in the markets, as the borrower agrees), but it will pass along the full cost of this (as well as a small service charge) to the borrower.

Starting with a standard loan structure, loan pricing is a spread over what it costs the IBRD to borrow in the core currency chosen.  The benchmark used for the US dollar is the SOFR rate (Secured Overnight Financing Rate, which is the cost of overnight borrowing by a bank collateralized by US Treasury securities in the repurchase agreement market – it was developed to replace LIBOR), with similar overnight rates used for Japanese yen and the British pound.  The 6-month EURIBOR rate is used for borrowings in euros.  Interest due dates on IBRD loans are every six months, and on those dates the interest rates will be reset based on (for US dollars) the compounded SOFR rate over the preceding six months (and similarly for the Japanese yen and the British pound), while the benchmark for the euro is the 6-month EURIBOR. 

The spread then charged by the IBRD will be the sum of a fixed 0.50%, plus a variable spread (reset every three months) reflecting whatever it costs the IBRD to borrow in the respective currencies relative to the SOFR and other benchmarks, plus a fee on the longer maturity loans that varies by four country groups based primarily on its per capita income.  That extra spread for the maturity starts at 0.10% for a country in the lowest income group on loans with an original average maturity of 8 to 10 years, and grows to up to an extra 1.15% for a country in the highest income group on loans with an original average maturity of 18 to 20 years (with 20 years the maximum).

Note that the IBRD charges the borrowers a variable spread (updated every three months) reflecting whatever it cost the IBRD to borrow in the markets relative to the benchmark during the three-month period.  Up until April 1, 2021, the Bank also offered a fixed spread loan as an alternative.  This option was “suspended”, however, as of that date, and it is not clear if it will be reinstated at some point.  But it is important to be clear that this is a variable (or a fixed) spread for the IBRD over a variable rate benchmark interest rate.

Adding up all of the fees and the spreads – starting with the 0.5% on all loans, the extra spread (of up to 1.15%) on loans with a longer average maturity (of up to 20 years), as well as a front-end fee on all loans and a commitment fee on undisbursed balances (and a few other smaller charges, such as the fees when the IBRD enters into derivative contracts for one of the alternatives offered) – the average implicit spread on the loans in the IBRD portfolio works out to about 0.83% when interest rates have been steady.  Since the variable interest rates are determined every six months based on the compounded benchmark rates in arrears, that margin will be somewhat higher when interest rates are falling over time, and somewhat lower when interest rates are rising.

The standard IBRD loan product is therefore one with a variable spread (tied to what it costs the IBRD to fund itself) over a variable rate benchmark (SOFR for the US dollar), and are mostly (82%) in US dollars.  While borrowers can arrange for fixed rate loans, it appears in the financial accounts that this is now exceedingly rare.  According to figures in Table D-1 of the June 30, 2022, audited financial statements of the IBRD, only $3 million of the $162,859 million in IBRD loans that are in the variable spread category are fixed rate loans.  And since only variable spread loans have been made available since April 1, 2021, this means that essentially all of recent lending has been at a variable rate.  More of the older loans still on the books were fixed rate loans, but overall, as of June 30, 2022, 86% of the loans are variable rate and only 14% are fixed rate.

This means that most IBRD borrowers are highly exposed to rising interest rates.  The SOFR rate is the most important, and is now rising fast:

Not surprisingly, the SOFR rate tracks the Federal Funds Rate extremely closely.  The Federal Funds Rate is the principal interest rate that the Fed targets, and is the rate the Fed has been raising in steps since March 2022.  Prior to that, the rate had been at essentially zero since March 2020 – the month when the Fed cut it sharply at the onset of the Covid crisis.

The quarterly financial statements of the IBRD do not report the average interest rate on loans in the IBRD portfolio.  While the audited annual financial statements do provide figures for weighted average interest rates for the portfolio, those appear to be just for a point in time (i.e. June 30).

One can, however, calculate from figures in the quarterly financial statements what the implicit average interest rates on IBRD loans were for each of the quarters.  These implicit average interest rates will be the interest paid on loans in the quarter (from the income statement in the financial accounts) divided by average loans outstanding during the quarter (shown in the assets portion of the balance sheet, and where the average during the quarter is estimated based on the outstanding at the end of the preceding quarter and that at the end of the current quarter – which is a more than adequate estimate of the average as the overall loan portfolio changes only slowly from one quarter to the next).  The quarterly rate is then annualized.  The result is the line in green in this chart:

This IBRD average interest rate on loans can be compared to the average SOFR rate in the quarter.  The SOFR (based on a simple daily average over the period) is the line in red in the chart.  The SOFR rate shot up starting from mid-March 2022 as the Fed started to raise interest rates, and the average IBRD loan rate has similarly shot up.  The margin between them has been predictable.  During the long period when the SOFR rate was essentially zero, the spread between the IBRD average interest rate on loans and the average SOFR rate of the period varied in the narrow range of 0.82% to 0.84%.  Prior to that the spread was higher reflecting the fact the IBRD interest rates are calculated based on the SOFR rate in six-month arrears and the Fed had cut interest rates sharply in March 2020.  And the spread is now a bit lower (0.70% in the most recent quarter) as interest rates are rising.

As I write this we do not yet have the figures for the January to March quarter of 2023.  But the chart does have the SOFR rate through to March 3, and one sees that it has continued to rise.  Given the spread, the average IBRD loan rate will certainly be above 5% in this quarter.  How far further it will rise cannot be said with any certainty, as it will depend on how far further the Fed will raise interest rates, and the Fed itself does not know how much this will be.  It will depend, as the Fed has repeatedly said, on how the data on the economic situation evolves.  However, most expect the Fed to raise interest rates at least somewhat further.  How long these higher interest rates will then last can also not be predicted with any certainty.

But what was certainly predictable during the period of close to zero interest rates from 2020 to early 2022 was that the close to zero interest rates would not last forever.  Longer-term rates were higher, but still at historic lows.  Households in the US and elsewhere thus rushed to refinance their home mortgages to lock in the record low rates.  But for some reason, IBRD loans being taken out were still almost entirely at a variable rate – tied to short-term benchmark rates.  While fixed rate loans taken out in 2020 or 2021 would have carried higher interest rates to start, their relatively low rates compared to what should have been expected later would then have been locked in.  A reasonable estimate of what they would have been for IBRD loans would be what the rates were on 10-year US Treasury bonds (the standard indicator taken for long term rates) plus a spread (for the IBRD) of 0.8%.  That rate (including the 0.8% spread) would have averaged 2.2% in CY2021 and just 1.6% in the second half of CY2020.

Those interest rates on such fixed rate loans, had they been locked in, would be one-half or less of what is now being paid on the IBRD’s largely variable rate loans.  And that ratio is likely to fall further in at least the near term as short-term interest rates are still going higher.

Proposals have been made that IBRD loans to address climate change issues should perhaps be subsidized to bring their interest rates to below what the IBRD charges to cover its costs.  While it is not clear who would be funding those subsidies nor how much would be provided, a more fundamental point is whether countries would find such subsidized funds sufficient incentive in themselves to invest in climate change issues.  That is not at all clear.  If those subsidized funds were sufficient to buy down the interest cost of the loans by half, say, their cost would still be greater than what it would have cost the countries to borrow for such purposes (or any other IBRD supported purpose) just a short time ago.  If there was not much of an appeal then, it is not clear why subsidizing the now higher interest rates on such loans would lead to this now.

A Carbon Tax with Redistribution Would Be a Significant Help to the Poor

A.  Introduction

Economists have long recommended taxing pollution as an effective as well as efficient way to achieve societal aims to counter that pollution.  What is commonly called a “carbon tax”, but which in fact would apply to all emissions of greenhouse gases (where carbon dioxide, CO2, is the largest contributor), would do this.  “Cap and trade” schemes, where polluters are required to acquire and pay for a limited number of permits, act similarly.  The prime example in the US of such a cap and trade scheme was the program to sharply reduce the sulfur dioxide (SO2) pollution from the burning of coal in power plants.  That program was launched in 1995 and was a major success.  Not only did the benefits exceed the costs by a factor of 14 to 1 (with some estimates even higher – as much as 100 to 1), but the cost of achieving that SO2 reduction was only one-half to one-quarter of what officials expected it would have cost had they followed the traditional regulatory approach.

Cost savings of half or three-quarters are not something to sneer at.  Reducing greenhouse gas emissions, which is quite possibly the greatest challenge of our times, will be expensive.  The benefits will be far greater, so it is certainly worthwhile to incur those expenses (and it is just silly to argue that “we cannot afford it” – the benefits far exceed the costs).  One should, however, still want to minimize those costs.

But while such cost savings are hugely important, one should also not ignore the distributional consequences of any such plan.  These are a concern of many, and rightly so.  The poor should not be harmed, both because they are poor and because their modest consumption is not the primary cause of the pollution problem we are facing.  But this is where there has been a good deal of confusion and misunderstanding.  A tax on all greenhouse gas emissions, with the revenue thus generated then distributed back to all on an equal per capita basis, would be significantly beneficial to the poor in purely financial terms.  Indeed it would be beneficial to most of the population since it is a minority of the population (mostly those who are far better off financially than most) who account for a disproportionate share of emissions.

A specific carbon tax plan that would work in this way was discussed in an earlier post on this blog.  I would refer the reader to that earlier post for the details on that plan.  But briefly, under this proposal all emissions of greenhouse gases (not simply from power plants, but from all sources) would pay a tax of $49 per metric ton of CO2 (or per ton of CO2 equivalent for other greenhouse gases, such as methane).  A fee of $49 per metric ton would be equivalent to about $44.50 per common ton (2,000 pounds, as commonly used in the US but nowhere else in the world).  The revenues thus generated would then be distributed back, in full, to the entire population in equal per capita terms, on a monthly or quarterly basis.  There would also be a border-tax adjustment on goods imported, which would create the incentive for other countries to join in such a scheme (as the US would charge the same carbon tax on such goods when the source country hadn’t, but with those revenues then distributed to Americans).

The US Treasury published a study of this scheme in January 2017, and estimated that such a tax would generate $194 billion of revenues in its initial year (which was assumed to be 2019).  This would allow for a distribution of $583 to every American (man, woman, and child – not just adults).  Furthermore, the authors estimated what the impact would be by family income decile, and concluded that the bottom 7 deciles of families (the bottom 70%, as ranked by income) would enjoy a net benefit, while only the richest 30% would pay a net cost.

That distributional impact will be the focus of this blog post.  It has not received sufficient attention in the discussion on how to address climate change.  While the Treasury study did provide estimates on what the impacts by income decile would be (although not always in an easy to understand form), views on a carbon tax often appear to assume, incorrectly, that the poor will pay the most as a share of their income, while the rich will be able to get away with avoiding the tax.  The impact would in fact be the opposite.  Indeed, while the primary aim of the program is, and should be, the reduction of greenhouse gas emissions, its redistributive benefits are such that on that basis alone the program would have much to commend it.  It would also be just.  As noted above, the poor do not account for a disproportionate share of greenhouse gas emissions – the rich do – yet the poor suffer similarly, if not greater, from the consequences.

This blog post will first review those estimated net cash benefits by family income decile, both in dollar amounts and as a share of income.  To give a sense of how important this is in magnitude, it will then examine how these net benefits compare to the most important current cash transfer program in the US – food stamp benefits.  Finally, it will briefly review the politics of such a program.  Perceptions have, unfortunately, been adverse, and many pundits believe a carbon tax program would never be approved.  Perhaps this might change if news sources paid greater attention to the distribution and economic justice benefits.

B.  Net Benefits or Costs by Family Income Decile from a Carbon Tax with Redistribution

The chart at the top of this post shows what the average net impact would be in dollars per person, by family cash income decile, if a carbon tax of $49 per metric ton were charged with the revenues then distributed on an equal per capita basis.  While prices of energy and other goods whose production or use leads to greenhouse gas emissions would rise, the revenues from the tax thus generated would go back in full to the population.  Those groups who account for a less than proportionate share of greenhouse gas emissions (the poor and much of the middle class) would come out ahead, while those with the income and lifestyle that lead to a greater than average share of greenhouse gas emissions (the rich) will end up paying in more.

The figures are derived from estimates made by the staff of the US Treasury – staff that regularly undertake assessments of the incidence across income groups of various tax proposals.  The study was published in January 2017, and the estimates are of what the impacts would have been had the tax been in place for 2019.  The results were presented in tables following a standard format for such tax incidence studies, with the dollars per person impact of the chart above derived from those tables.

To arrive at these estimates, the Treasury staff first calculated what the impact of such a $49 per metric ton carbon tax would be on the prices of goods.  Such a tax would, for example, raise the price of gasoline by $0.44 per gallon based on the CO2 emitted in its production and when it is burned.  Using standard input-output tables they could then estimate what the price changes would be on a comprehensive set of goods, and based on historic consumption patterns work out what the impacts would be on households by income decile.  The net impact would then follow from distributing back on an equal per capita basis the revenues collected by the tax.  For 2019, the Treasury staff estimated $194 billion would be collected (a bit less than 1% of GDP), which would allow for a transfer back of $583 per person.

Those in the poorest 10% of households would receive an estimated $535 net benefit per person from such a scheme.  The cost of the goods they consume would go up by $48 per person over the course of a year, but they would receive back $583.  They do not account for a major share of greenhouse gas emissions because they cannot afford to consume much.  They are poor, and a family earning, say, $20,000 a year consumes far less of everything than a family earning $200,000 a year.  In terms of greenhouse gas emissions implicit in the Treasury numbers, the poorest 10% of Americans account only for a bit less than 1.0 metric tons of CO2 emissions per person per year (including the CO2 equivalent in other greenhouse gases).  The richest 10% account for close to 36 tons CO2 equivalent per person per year.

As one goes from the lower income deciles to the higher, consumption rises and CO2 emissions from the goods consumed rises.  But it is not a linear trend by decile.  Rather, higher-income households account for a more than proportionate share of greenhouse gas emissions.  As a consequence, the break-even point is not at the 50th percentile of households (as it would be if the trend were linear), but rather something higher.  In the Treasury estimates, households up through the 70th percentile (the 7th decile) would on average still come out ahead.  Only the top three deciles (the richest 30%) would end up paying more for the carbon tax than what they would receive back.  But this is simply because they account for a disproportionately high share of greenhouse gas emissions.  It is fully warranted and just that they should pay more for the pollution they cause.

But it is also worth noting that while the richer household would pay more in dollar terms than they receive back, those higher dollar amounts are modest when taken as a share of their high incomes:

In dollar terms the richest 10% would pay in a net $1,166 per person in this scheme, as per the chart at the top of this post.  But this would be just 1.0% of their per-person incomes.  The 9th decile (families in the 80 to 90th percentile) would pay in a net of 0.7% of their incomes, and the 8th decile would pay in a net of 0.3%. At the other end of the distribution, the poorest 10% (the 1st decile) would receive a net benefit equal to 8.9% of their incomes.  This is not minor.  The relatively modest (as a share of incomes) net transfers from the higher-income households permit a quite substantial rise (in percentage terms) in the incomes of poorer households.

C.  A Comparison to Transfers in the Food Stamps Program

The food stamps program (formally now called SNAP, for Supplemental Nutrition Assistance Program) is the largest cash income transfer program in the US designed specifically to assist the poor.  (While the cost of Medicaid is higher, those payments are made directly to health care providers for their medical services to the poor.)  How would the net transfers under a carbon tax with redistribution compare to SNAP?  Are they in the same ballpark?

I had expected they would not be close.  However, it turns out that they are not that far apart.  While food stamps would still provide a greater transfer for the very poorest households, the supplement to income that those households would receive by such a carbon tax scheme would be significant.  Furthermore, the carbon tax scheme would be of greater benefit than food stamps are, on average, for lower middle-class households (those in the 3rd decile and above).

The Congressional Budget Office (CBO) has estimated how food stamp (SNAP) benefits are distributed by household income decile.  While the forecast year is different (2016 for SNAP vs. 2019 for the carbon tax), for the purposes here the comparison is close enough.  From the CBO figures one can work out the annual net benefits per person under SNAP for households in the 1st to 4th deciles (with the 5th through the 10th deciles then aggregated by the CBO, as they were all small):

The average annual benefits from SNAP were estimated to be about $1,500 per person for households in the poorest decile and $690 per person in the 2nd decile.  These are larger than the estimated net benefits of these two groups under a carbon tax program (of $535 and $464 per person, respectively), but it was surprising, at least to me, that they are as close as they are.  The food stamp program is specifically targeted to assist the poor to purchase the food that they need.  A carbon tax with redistribution program is aimed at cutting back greenhouse gas emissions, with the funds generated then distributed back to households on an equal per capita basis.  They have very different aims, but the redistribution under each is significant.

D.  But the Current Politics of Such a Program Are Not Favorable

A carbon tax with redistribution program would therefore not only reduce greenhouse gas emissions at a lower cost than traditional approaches, but would also provide for an equitable redistribution from those who account for a disproportionate share of greenhouse gas emissions (the rich) to those who do not (the poor).  But news reporters and political pundits, including those who are personally in favor of such a program, consider it politically impossible.  And in what was supposed to be a personal email, but which was part of those obtained by Russian government hackers and then released via WikiLeaks in order to assist the Trump presidential campaign, John Podesta, the senior campaign manager for Hillary Clinton, wrote:  “We have done extensive polling on a carbon tax.  It all sucks.”

Published polls indicate that the degree of support or not for a carbon tax program depends critically on how the question is worded.  If the question is stated as something such as “Would you be in favor of taxing corporations based on their carbon emissions”, polls have found two-thirds or more of Americans in support.  But if the question is worded as something such as “Would you be in favor of paying a carbon tax on the goods you purchase”, the support is less (often still more than a majority, depending on the specific poll, but less than two-thirds).  But they really amount to the same thing.

There are various reasons for this, starting with that the issue is a complex one, is not well understood, and hence opinions can be easily influenced based on how the issue is framed.  This opens the field to well-funded vested interests (such as the fossil fuel companies) being able to influence votes by sophisticated advertising.  Opponents were able to outspend proponents by 2 to 1 in Washington State in 2018, when a referendum on a proposed carbon tax was defeated (as it had been also in 2016).  Political scientists who have studied the two Washington State referenda believe they would be similarly defeated elsewhere.

There appear to be two main concerns:  The first is that “a carbon tax will hurt the poor”.  But as examined above, the opposite would be the case.  The poor would very much benefit, as their low consumption only accounts for a small share of carbon emissions (they are poor, and do not consume much of anything), but they would receive an equal per capita share of the revenues raised.

In distinct contrast, but often not recognized, a program to reduce greenhouse gas emissions based on traditional regulation would still see an increase in costs (and indeed likely by much more, as noted above), but with no compensation for the poor.  The poor would then definitely lose.  There may then be calls to add on a layer of special subsidies to compensate the poor, but these rarely work well.

The second concern often heard is that “a carbon tax is just a nudge” and in the end will not get greenhouse gas emissions down.  There may also be the view (internally inconsistent, but still held) that the rich are so rich that they will not cut back on their consumption of high carbon-emission goods despite the tax, while at the same time the rich can switch their consumption (by buying an electric car, for example, to replace their gasoline one) while the poor cannot.

But the prices do matter.  As noted at the start of this post, the experience with the cap and trade program for SO2 from the burning of coal (where a price is put on the SO2 emissions) found it to be highly effective in bringing SO2 emissions down quickly.  Or as was discussed in an earlier post on this blog, charging polluters for their emissions would be key to getting utilities to switch use to clean energy sources.  The cost of both solar and wind new generation power capacity has come down sharply over the past decade, to the point where, for new capacity, they are the cheapest sources available.  But this is for new generation.  When there is no charge for the greenhouse gases emitted, it is still cheaper to keep burning gas and often coal in existing plants, as the up-front capital costs have already been incurred and do not affect the decision of what to use for current generation.  But as estimated in that earlier post, if those plants were charged $40 per ton for their CO2 emissions, it would be cheaper for the power utilities to build new solar or wind plants and use these to replace existing fossil fuel plants.

There are many other substitution possibilities as well, but many may not be well known when the focus is on a particular sector.  For example, livestock account for about 30% of methane emissions resulting from human activity.  This is roughly the same share as methane emissions from the production and distribution of fossil fuels.  And methane is a particularly potent greenhouse gas, with 86 times the global warming potential over a 20-year horizon of an equal weight of CO2.  Yet a simple modification of the diets of cows will reduce their methane emissions (due to their digestive system – methane comes out as burps and farts) by 33%.  One simply needs to add to their feed just 100 grams of lemongrass per day and the digestive chemistry changes to produce far less methane.  Burger King will now start to purchase its beef from such sources.

This is a simple and inexpensive change, yet one that is being done only by Burger King and a few others in order to gain favorable publicity.  But a tax on such greenhouse gas emissions would induce such an adjustment to the diets of livestock more broadly (as well as research on other dietary changes, that might lead to an even greater reduction in methane emissions).  A regulatory focus on emissions from power plants alone would not see this.  One might argue that a broader regulatory system would cover emissions from such agricultural practices, and in principle it should.  But there has been little discussion of extending the regulation of greenhouse gas emissions to the agricultural sector.

More fundamentally, regulations are set and then kept fixed over time in order to permit those who are regulated to work out and then implement plans to comply.  Such systems are not good, by their nature, at handling innovations, as by definition innovations are not foreseen.  Yet innovations are precisely what one should want to encourage, and indeed the ex-post assessment of the SO2 emissions trading program found that it was innovations that led to costs being far lower than had been anticipated.  A carbon tax program would similarly encourage innovations, while regulatory schemes can not handle them well.

There may well be other concerns, including ones left unstated.  Individuals may feel, for example, that while climate change is indeed a major issue and needs to be addressed, and that redistribution under a carbon tax program might well be equitable overall, that they will nonetheless lose.  And some will.  Those who account for a disproportionately high share of greenhouse gas emissions through the goods they purchase will end up paying more.  But costs will also rise under the alternative of a regulatory approach (and indeed rise by a good deal more), which will affect them as well.  If they do indeed account for a disproportionately high share of greenhouse gas emissions, they should be especially in favor of an approach that would bring these emissions down at the lowest possible cost.  A scheme that puts a price on carbon emissions, such as in a carbon tax scheme, would do this at a lower cost than traditional approaches.

So while many have concerns with a carbon tax with redistribution scheme, much of this is due to a misunderstanding of what the impacts would be, as well as of what the impacts would be of alternatives.  One sees this in the range of responses to polling questions on such schemes, where the degree of support depends very much on how the questions are worded or framed.  There is a need to explain better how a carbon tax with redistribution program would work, and we have collectively (analysts, media, and politicians) failed to do this.

There are also some simple steps one can take which would likely increase the attractiveness of such a program.  For example, perceptions would likely be far better if the initial rebate checks were sent up-front, before the carbon taxes were first to go into effect, rather than later, at the end of whatever period is chosen.  Instead of households being asked to finance the higher costs over the period until they received their first rebate checks, one would have the government do this.  This would not only make sense financially (government can fund itself more cheaply than households can), but more important, politically.  Households would see up-front that they are, indeed, receiving a rebate check before the prices go up to reflect the carbon tax.

And one should not be too pessimistic.  While polling responses depend on the precise wording used, as noted above, the polling results still usually show a majority in support.  But the issue needs to be explained better.  There are problems, clearly, when issues such as the impact on the poor from such a scheme are so fundamentally misunderstood.

E.  Conclusion 

Charging for greenhouse gases emitted (a carbon tax), with the revenues collected then distributed back to the population on an equal per capita basis, would be both efficient (lower cost) and equitable.  Indeed, the transfers from those who account for an especially high share of greenhouse gas emissions (the rich) to those who account for very little of them (the poor), would provide a significant supplement to the incomes of the poor.  While the redistributive effect is not the primary aim of the program (reducing greenhouse gases is), that redistributive effect would be both beneficial and significant.  It should not be ignored.

The conventional wisdom, however, is that such a scheme could not command a majority in a referendum.  The issue is complex, and well-funded vested interests (the fossil fuel companies) have been able to use that complexity to propagate a sufficient level of concern to defeat such referenda.  The impact on the poor has in particular been misportrayed.

But climate change really does need to be addressed.  One should want to do this at the lowest possible cost while also in an equitable manner.  Hopefully, as more learn what carbon tax schemes can achieve, politicians will obtain the support they need to move forward with such a program.

The Increasingly Attractive Economics of Solar Power: Solar Prices Have Plunged

A.  Introduction

The cost of solar photovoltaic power has fallen dramatically over the past decade, and it is now, together with wind, a lower cost source of new power generation than either fossil-fuel (coal or gas) or nuclear power plants.  The power generated by a new natural gas-fueled power plant in 2018 would have cost a third more than from a solar or wind plant (in terms of the price they would need to sell the power for in order to break even); coal would have cost 2.4 times as much as solar or wind; and a nuclear plant would have cost 3.5 times as much.

These estimates (shown in the chart above, and discussed in more detail below) were derived from figures estimated by Lazard, the investment bank, and are based on bottom-up estimates of what such facilities would have cost to build and operate, including the fuel costs.  But one also finds a similar sharp fall in solar energy prices in the actual market prices that have been charged for the sale of power from such plants under long-term “power purchase agreements” (PPAs).  These will also be discussed below.

With the costs where they are now, it would not make economic sense to build new coal or nuclear generation capacity, nor even gas in most cases.  In practice, however, the situation is more complex due to regulatory issues and conflicting taxes and subsidies, and also because of variation across regions.  Time of day issues may also enter, depending on when (day or night) the increment in new capacity might be needed.  The figures above are also averages, particular cases vary, and what is most economic in any specific locale will depend on local conditions.  Nevertheless, and as we will examine below, there has been a major shift in new generation capacity towards solar and wind, and away from coal (with old coal plants being retired) and from nuclear (with no new plants being built, but old ones largely remaining).

But natural gas generation remains large.  Indeed, while solar and wind generation have grown quickly (from a low base), and together account for the largest increment in new power capacity in recent years, gas accounts for the largest increment in power production (in megawatt-hours) measured from the beginning of this decade.  Why?  In part this is due to the inherent constraints of solar and wind technologies:  Solar panels can only generate power when the sun shines, and wind turbines when the wind is blowing.  But more interestingly, one also needs to look at the economics behind the choice as to whether or not to build new generation capacity to replace existing capacity, and then what sources of capacity to use.  Critical is what economists call the marginal cost of such production.  A power plant lasts for many years once it is built, and the decision on whether to keep an existing plant in operation for another year depends only on the cost of operating and maintaining the plant.  The capital cost has already been spent and is no longer relevant to that decision.

Details in the Lazard report can be used to derive such marginal cost estimates by power source, and we will examine these below.  While the Lazard figures apply to newly built plants (older plants will generally have higher operational and maintenance costs, both because they are getting old and because technology was less efficient when they were built), the estimates based on new plants can still give us a sense of these costs.  But one should recognize they will be biased towards indicating the costs of the older plants are lower than they in fact are.  However, even these numbers (biased in underestimating the costs of older plants) imply that it is now more economical to build new wind and possibly solar plants, in suitable locales, than it costs to continue to keep open and operate coal-burning power plants.  This will be especially true for the older, less-efficient, coal-burning plants.  Thus we should be seeing old coal-burning plants being shut down.  And indeed we do.  Moreover, while the costs of building new wind and solar plants are not yet below the marginal costs of keeping open existing gas-fueled and nuclear power plants, they are on the cusp of being so.

These costs also do not reflect any special subsidies that solar and wind plants might benefit from.  These vary by state.  Fossil-fueled and nuclear power plants also enjoy subsidies (often through special tax advantages), but these are long-standing and are implicitly being included in the Lazard estimates of the costs of such traditional plants.

But one special subsidy enjoyed by fossil fuel burning power plants, not reflected in the Lazard cost estimates, is the implicit subsidy granted to such plants from not having to cover the cost of the damage from the pollution they generate.  Those costs are instead borne by the general public.  And while such plants pollute in many different ways (especially the coal-burning ones), I will focus here on just one of those ways – their emissions of greenhouse gases that are leading to a warming planet and consequent more frequent and more damaging extreme weather events.  Solar and wind generation of power do not cause such pollution – the burning of coal and gas do.

To account for such costs and to ensure a level playing field between power sources, a fee would need to be charged to reflect the costs being imposed on the general population from this (and indeed other) such pollution.  The revenues generated could be distributed back to the public in equal per capita terms, as discussed in an earlier post on this blog.  We will see that a fee of even just $20 per ton of CO2 emitted would suffice to make it economic to build new solar and wind power plants to substitute not just for new gas and coal burning plants, but for existing ones as well.  Gas and especially coal burning plants would not be competitive with installing new solar or wind generation if they had to pay for the damage done as a result of their greenhouse gas pollution, even on just marginal operating costs.

Two notes before starting:  First, many will note that while solar might be fine for the daytime, it will not be available at night.  Similarly, wind generation will be fine when the wind blows, but it may not always blow even in the windiest locales.  This is of course true, and should solar and wind capacity grow to dominate power generation, there will have to be ways to store that power to bridge the times from when the generation occurs to when the power is used.

But while storage might one day be an issue, it is mostly not an issue now.  In 2018, utility-scale solar only accounted for 1.6% of power generation in the US (and 2.3% if one includes small scale roof-top systems), while wind only accounted for 6.6%.  At such low shares, solar and wind power can simply substitute for other, higher cost, sources of power (such as from coal) during the periods the clean sources are available.  Note also that the cost figures for solar and wind reflected in the chart at the top of this post (and discussed in detail below) take into account that solar and wind cannot be used 100% of the time.  Rather, utilization is assumed to be similar to what their recent actual utilization has been, not only for solar and wind but also for gas, coal and nuclear.  Solar and wind are cheaper than other sources of power (over the lifetime of these investments) despite their inherent constraints on possible utilization.

But where the storage question can enter is in cases where new generation capacity is required specifically to serve evening or night-time needs.  New gas burning plants might then be needed to serve such time-of-day needs if storage of day-time solar is not an economic option.  And once such gas-burning plants are built, the decision on whether they should be run also to serve day-time needs will depend on a comparison of the marginal cost of running these gas plants also during the day, to the full cost of building new solar generation capacity, as was discussed briefly above and will be considered in more detail below.

This may explain, in part, why we see new gas-burning plants still being built nationally.  While less than new solar and wind plants combined (in terms of generation capacity), such new gas-burning plants are still being built despite their higher cost.

More broadly, California and Hawaii (both with solar now accounting for over 12% of power used in those states) are two states (and the only two states) which may be approaching the natural limits of solar generation in the absence of major storage.  During some sunny days the cost of power is being driven down to close to zero (and indeed to negative levels on a few days).  Major storage will be needed in those states (and only those states) to make it possible to extend solar generation much further than where it is now.  But this should not be seen so much as a “problem” but rather as an opportunity:  What can we do to take advantage of cheap day-time power to make it available at all hours of the day?  I hope to address that issue in a future blog post.  But in this blog post I will focus on the economics of solar generation (and to a lesser extent from wind), in the absence of significant storage.

Second, on nomenclature:  A megawatt-hour is a million watts of electric power being produced or used for one hour.  One will see it abbreviated in many different ways, including MWHr, MWhr, MWHR, MWH, MWh, and probably more.  I will try to use consistently MWHr.  A kilowatt-hour (often kWh) is a thousand watts of power for one hour, and is the typical unit used for homes.  A megawatt-hour will thus be one thousand times a kilowatt-hour, so a price of, for example, $20 per MWHr for solar-generated power (which we will see below has in fact been offered in several recent PPA contracts) will be equivalent to 2.0 cents per kWh.  This will be the wholesale price of such power.  The retail price in the US for households is typically around 10 to 12 cents per kWh.

B.  The Levelized Cost of Energy 

As seen in the chart at the top of this post, the cost of generating power by way of new utility-scale solar photovoltaic panels has fallen dramatically over the past decade, with a cost now similar to that from new on-shore wind turbines, and well below the cost from building new gas, coal, or nuclear power plants.  These costs can be compared in terms of the “levelized cost of energy” (LCOE), which is an estimate of the price that would need to be charged for power from such a plant over its lifetime, sufficient to cover the initial capital cost (at the anticipated utilization rate), plus the cost of operating and maintaining the plant,

Lazard, the investment bank, has published estimates of such LCOEs annually for some time now.  The most recent report, issued in November 2018, is version 12.0.  Lazard approaches the issue as an investment bank would, examining the cost of producing power by each of the alternative sources, with consistent assumptions on financing (with a debt/equity ratio of 60/40, an assumed cost of debt of 8%, and a cost of equity of 12%) and a time horizon of 20 years.  They also include the impact of taxes, and show separately the impact of special federal tax subsidies for clean energy sources.  But the figures I will refer to throughout this post (including in the chart above) are always the estimates excluding any impact from special subsidies for clean energy.  The aim is to see what the underlying actual costs are, and how they have changed over time.

The Lazard LCOE estimates are calculated and presented in nominal terms.  They show the price, in $/MWHr, that would need to be charged over a 20-year time horizon for such a project to break even.  For comparability over time, as well as to produce estimates that can be compared directly to the PPA contract prices that I will discuss below, I have converted those prices from nominal to real terms in constant 2017 dollars.  Two steps are involved.  First, the fixed nominal LCOE prices over 20 years will be falling over time in real terms due to general inflation.  They were adjusted to the prices of their respective initial year (i.e. the relevant year from 2009 to 2018) using an inflation rate of 2.25% (which is the rate used for the PPA figures discussed below, the rate the EIA assumed in its 2018 Annual Energy Outlook report, and the rate which appears also to be what Lazard assumed for general cost escalation factors).  Second, those prices for the years between 2009 and 2018 were all then converted to constant 2017 prices based on actual inflation between those years and 2017.

The result is the chart shown at the top of this post.  The LCOEs in 2018 (in 2017$) were $33 per MWHr for a newly built utility-scale solar photovoltaic system and also for an on-shore wind installation, $44 per MWHr for a new natural gas combined cycle plant, $78 for a new coal-burning plant, and $115 for a new nuclear power plant.  The natural gas plant would cost one-third more than a solar or wind plant, coal would cost 2.4 times as much, and a nuclear plant 3.5 times as much.  Note also that since the adjustments for inflation are the same for each of the power generation methods, their costs relative to each other (in ratio terms) are the same for the LCOEs expressed in nominal cost terms.  And it is their costs relative to each other which most matters.

The solar prices have fallen especially dramatically.  The 2018 LCOE was only one-tenth of what it was in 2009.  The cost of wind generation has also fallen sharply over the period, to about one-quarter in 2018 of what it was in 2009.  The cost from gas combined cycle plants (the most efficient gas technology, and is now widely used) also fell, but only by about 40%, while the cost of coal or nuclear were roughly flat or rising, depending on precisely what time period is used.

There is good reason to believe the cost of solar technology will continue to decline.  It is still a relatively new technology, and work in labs around the world are developing solar technologies that are both more efficient and less costly to manufacture and install.

Current solar installations (based on crystalline silicon technology) will typically have conversion efficiencies of 15 to 17%.  And panels with efficiencies of up to 22% are now available in the market – a gain already on the order of 30 to 45% over the 15 to 17% efficiency of current systems.  But a chart of how solar efficiencies have improved over time (in laboratory settings) shows there is good reason to believe that the efficiencies of commercially available systems will continue to improve in the years to come.  While there are theoretical upper limits, labs have developed solar cell technologies with efficiencies as high as 46% (as of January 2019).

Particularly exciting in recent years has been the development of what are called “perovskite” solar technologies.  While their current efficiencies (of up to 28%, for a tandem cell) are just modestly better than purely crystalline silicon solar cells, they have achieved this in work spanning only half a decade.  Crystalline silicon cells only saw such an improvement in efficiencies in research that spanned more than four decades.  And perhaps more importantly, perovskite cells are much simpler to manufacture, and hence much cheaper.

Based on such technologies, one could see solar efficiencies doubling within a few years, from the current 15 to 17% to say 30 to 35%.  And with a doubling in efficiency, one will need only half as many solar panels to produce the same megawatts of power, and thus also only half as many frames to hold the panels, half as much wiring to link them together, and half as much land.  Coupled with simplified and hence cheaper manufacturing processes (such as is possible for perovskite cells), there is every reason to believe prices will continue to fall.

While there can be no certainty in precisely how this will develop, a simple extrapolation of recent cost trends can give an indication of what might come.  Assuming costs continue to change at the same annual rate that they had over the most recent five years (2013 to 2018), one would find for the years up to 2023:

If these trends hold, then the LCOE (in 2017$) of solar power will have fallen to $13 per MWHr by 2023, wind will have fallen to $18, and gas will be at $32 (or 2.5 times the LCOE of solar in that year, and 80% above the LCOE of wind).  And coal (at $70) and nuclear (at $153) will be totally uncompetitive.

This is an important transition.  With the dramatic declines in the past decade in the costs for solar power plants, and to a lesser extent wind, these clean sources of power are now more cost competitive than traditional, polluting, sources.  And this is all without any special subsidies for the clean energy.  But before looking at the implications of this for power generation, as a reality check it is good first to examine whether the declining costs of solar power have been reflected in actual market prices for such power.  We will see that they have.

C.  The Market Prices for Solar Generated Power

Power Purchase Agreements (PPAs) are long-term contracts where a power generator (typically an independent power producer) agrees to supply electric power at some contracted capacity and at some price to a purchaser (typically a power utility or electric grid operator).  These are competitively determined (different parties interested in building new power plants will bid for such contracts, with the lowest price winning) and are a direct market measure of the cost of energy from such a source.

The Lawrence Berkeley National Lab, under a contract with the US Department of Energy, produces an annual report that reviews and summarizes PPA contracts for recent utility-scale solar power projects, including the agreed prices for the power.  The most recent was published in September 2018, and covers 2018 (partially) and before.  While the report covers both solar photovoltaic and concentrating solar thermal projects, the figures of interest to us here (and comparable to the Lazard LCOEs discussed above) are the PPAs for the solar photovoltaic projects.

The PPA prices provided in the report were all calculated by the authors on a levelized basis and in terms of 2017 prices.  This was done to put them all on a comparable basis to each other, as the contractual terms of the specific contracts could differ (e.g. some had price escalation clauses and some did not).  Averages by year were worked out with the different projects weighted by generation capacity.

The PPA prices are presented by the year the contracts were signed.  If one then plots these PPA prices with a one year lag and compare them to the Lazard estimated LCOE prices of that year, one finds a remarkable degree of overlap:

This high degree of overlap is extraordinary.  Only the average PPA price for 2010 (reflecting the 2009 average price lagged one year) is off, but would have been close with a one and a half year lag rather than a one year lag.  Note also that while the Lawrence Berkeley report has PPA prices going back to 2006, the figures for the first several years are based on extremely small samples (just one project in 2006, one in 2007, and three in 2008, before rising to 16 in 2009 and 30 in 2010).  For that reason I have not plotted the 2006 to 2008 PPA prices (which would have been 2007 to 2009 if lagged one year), but they also would have been below the Lazard LCOE curve.

What might be behind this extraordinary overlap when the PPA prices are lagged one year?  Two possible explanations present themselves.  One is that the power producers when making their PPA bids realize that there will be a lag from when the bids are prepared to when the winning bidder is announced and construction of the project begins.  With the costs of solar generation falling so quickly, it is possible that the PPA bids reflect what they know will be a lag between when the bid is prepared and when the project has to be built (with solar panels purchased and other costs incurred).  If that lag is one year, one will see overlap such as that found for the two curves.

Another possible explanation for the one-year shift observed between the PPA prices (by date of contract signing) and the Lazard LCOE figures is that the Lazard estimates labeled for some year (2018 for example) might in fact represent data on the cost of the technologies as of the prior year (2017 in this example).  One cannot be sure from what they report.  Or the remarkable degree of overlap might be a result of some combination of these two possible explanations, or something else.

But for whatever reason, the two estimates move almost exactly in parallel over time, and hence show an almost identical rate of decline for both the cost of generating power from solar photovoltaic sources and in the market PPA prices for such power.  And it is that rapid rate of decline which is important.

It is also worth noting that the “bump up” in the average PPA price curve in 2017 (shown in the chart as 2018 with the one year lag) reflects in part that a significant number of the projects in the 2017 sample of PPAs included, as part of the contract, a power storage component to store a portion of the solar-generated power for use in the evening or night.  But these additional costs for storage were remarkably modest, and were even less in several projects in the partial-year 2018 sample.  Specifically, Nevada Energy (as the offtaker) announced in June 2018 that it had contracted for three major solar projects that would include storage of power of up to one-quarter of generation capacity for four hours, with overall PPA prices (levelized, in 2017 prices) for both the generation and the storage of just $22.8, $23.5, and $26.4 per MWHr (i.e. 2.28 cents, 2.35 cents, and 2.64 cents per kWh, respectively).

The PPA prices reported can also be used to examine how the prices vary by region.  One should expect solar power to be cheaper in southern latitudes than in northern ones, and in dry, sunny, desert areas than in regions with more extensive cloud cover.  And this has led to the criticism by skeptics that solar power can only be competitive in places such as the US Southwest.

But this is less of an issue than one might assume.  Dividing up the PPA contracts by region (with no one-year lag in this chart), one finds:

Prices found in the PPAs are indeed lower in the Southwest, California, and Texas.  But the PPA prices for projects in the Southeast, the Midwest, and the Northwest fell at a similar pace as those in the more advantageous regions (and indeed, at a more rapid pace up to 2014).  And note that the prices in those less advantageous regions are similar to what they were in the more advantageous regions just a year or two before.  Finally, the absolute differences in prices have become relatively modest in the last few years.

The observed market prices for power generated by solar photovoltaic systems therefore appear to be consistent with the bottom-up LCOE estimates of Lazard – indeed remarkably so.  Both show a sharp fall in solar energy prices/costs over the last decade, and sharp falls both for the US as a whole and by region.  The next question is whether we see this reflected in investment in additions to new power generation capacity, and in the power generated by that capacity.

D.  Additions to Power Generation Capacity, and in Power Generation

The cost of power from a new solar or wind plant is now below the cost from gas (while the cost of new coal or nuclear generation capacity is totally uncompetitive).  But the LCOEs indicate that the cost advantage relative to gas is relatively recent in the case of solar (starting from 2016), and while a bit longer for wind, the significant gap in favor of wind only opened up in 2014.  One needs also to recognize that these are average or mid-point estimates of costs, and that in specific cases the relative costs will vary depending on local conditions.  Thus while solar or wind power is now cheaper on average across the US, in some particular locale a gas plant might be less expensive (especially if the costs resulting from its pollution are not charged).  Finally, and as discussed above, there may be time-of-day issues that the new capacity may be needed for, with this affecting the choices made.

Thus while one should expect a shift towards solar and wind over the last several years, and away from traditional fuels, the shift will not be absolute and immediate.  What do we see?

First, in terms of the gross additions to power sector generating capacity:

The chart shows the gross additions to power capacity, in megawatts, with both historical figures (up through 2018) and as reflected in plans filed with the US Department of Energy (for 2019 and 2020, with the plans as filed as of end-2018).  The data for this (and the other charts in this section) come from the most recent release of the Electric Power Annual of the Energy Information Agency (EIA) (which was for 2017, and was released on October 22, 2018), plus from the Electric Power Monthly of February, 2019, also from the Energy Information Agency (where the February issue each year provides complete data for the prior calendar year, i.e. for 2018 in this case).

The planned additions to capacity (2019 and 2020 in the chart) provide an indication of what might happen over the next few years, but must be interpreted cautiously.  While probably pretty good for the next few years, biases will start to enter as one goes further into the future.  Power producers are required to file their plans for new capacity (as well as for retirements of existing capacity) with the Department of Energy, for transparency and to help ensure capacity (locally as well as nationally) remains adequate.  But these reported plans should be approached cautiously.  There is a bias as projects that require a relatively long lead time (such as gas plants, as well as coal and especially nuclear) will be filed years ahead, while the more flexible, shorter construction periods, required for solar and wind plants means that these plans will only be filed with the Department of Energy close to when that capacity will be built.  But for the next few years, the plans should provide an indication of how the market is developing.

As seen in the chart, solar and wind taken together accounted for the largest single share of gross additions to capacity, at least through 2017.  While there was then a bump up in new gas generation capacity in 2018, this is expected to fall back to earlier levels in 2019 and 2020.  And these three sources (solar, wind, and gas) accounted for almost all (93%) of the gross additions to new capacity over 2012 to 2018, with this expected to continue.

New coal-burning plants, in contrast, were already low and falling in 2012 and 2013, and there have been no new ones since then.  Nor are any planned.  This is as one would expect based on the LCOE estimates discussed above – new coal plants are simply not cost competitive.  And the additions to nuclear and other capacity have also been low.  “Other” capacity is a miscellaneous category that includes hydro, petroleum-fueled plants such as diesel, as well as other renewables such as from the burning of waste or biomass. The one bump up, in 2016, is due to a nuclear power plant coming on-line that year.  It was unit #2 of the Watts Bar nuclear power plant built by the Tennessee Valley Authority (TVA), and had been under construction for decades.  Indeed the most recent nuclear plant completed in the US before this one was unit #1 at the same TVA plant, which came on-line 20 years before in 1996.  Even aside from any nuclear safety concerns, nuclear plants are simply not economically competitive with other sources of power.

The above are gross additions to power generating capacity, reflecting what new plants are being built.  But old, economically or technologically obsolete, plants are also being retired, so what matters to the overall shift in power generation capacity is what has happened to net generation capacity:

What stands out here is the retirement of coal-burning plants.  And while the retirements might appear to diminish in the plans going forward, this may largely be due to retirement plans only being announced shortly before they happen.  It is also possible that political pressure from the Trump administration to keep coal-burning plants open, despite their higher costs (and their much higher pollution), might be a factor.  We will see what happens.

The cumulative impact of these net additions to capacity (relative to 2010 as the base year) yields:

Solar plus wind accounts for the largest addition to capacity, followed by gas.  Indeed, each of these accounts for more than 100% of the growth in overall capacity, as there has been a net reduction in the nuclear plus other category, and especially in coal.

But what does this mean in terms of the change in the mix of electric power generation capacity in the US?  Actually, less than one might have thought, as one can see in a chart of the shares:

The share of coal has come down, but remains high, and similarly for nuclear (plus miscellaneous other) capacity.  Gas remains the highest and has risen as a share, while solar and wind, while rising at a rapid pace relative to where it was to start, remains the smallest shares (of the categories used here).

The reason for these relatively modest changes in shares is that while solar and wind plus gas account for more than 100% of the net additions to capacity, that net addition has been pretty small.  Between 2010 and 2018, the net addition to US electric power generation capacity was just 58.8 thousand megawatts, or an increase over eight years of just 5.7% over what capacity was in 2010 (1,039.1 thousand megawatts).  A big share of something small will still be small.

So even though solar and wind are now the lowest cost sources of new power generation, the very modest increase in the total power capacity needed has meant that not that much has been built.  And much of what has been built has been in replacement of nuclear and especially coal capacity.  As we will discuss below, the economic issue then is not whether solar and wind are the cheapest source of new capacity (which they are), but whether new solar and wind are more economic than what it costs to continue to operate existing coal and nuclear plants.  That is a different question, and we will see that while new solar and wind are now starting to be a lower cost option than continuing to operate older coal (but not nuclear) plants, this development (a critically important development) has only been recent.

Why did the US require such a small increase in power generation capacity in recent years?  As seen in the chart below, it is not because GDP has not grown, but rather because energy efficiency (real GDP per MWHr of power) improved tremendously, at least until 2017:

From 2010 to 2017, real GDP rose by 15.7% (2.1% a year on average), but GDP per MWHr of power generated rose by 18.3%.  That meant that power generation (note that generation is the relevant issue here, not capacity) could fall by 2.2% despite the higher level of GDP.  Improving energy efficiency was a key priority during the Obama years, and it appears to have worked well.  It is better for efficiency to rise than to have to produce more power, even if that power comes from a clean source such as solar or wind.

This reversed direction in 2018.  It is not clear why, but might be an early indication that the policies of the Trump administration are harming efficiency in our economy.  However, this is still just one year of data, and one will need to wait to see whether this was an aberration or a start of a new, and worrisome, trend.

Which brings us to generation.  While the investment decision is whether or not to add capacity, and if so then of what form (e.g. solar or gas or whatever), what is ultimately needed is the power generated.  This depends on the capacity available and then on the decision of how much of that capacity to use to generate the power needed at any given moment.  One needs to keep in mind that power in general is not stored (other than still very limited storage of solar and wind power), but rather has to be generated at the moment needed.  And since power demand goes up and down over the course of the day (higher during the daylight hours and lower at night), as well as over the course of the year (generally higher during the summer, due to air conditioning, and lower in other seasons), one needs total generation capacity sufficient to meet whatever the peak load might be.  This means that during all other times there will be excess, unutilized, capacity.  Indeed, since one will want to have a safety margin, one will want to have total power generation capacity of even more than whatever the anticipated peak load might be in any locale.

There will always, then, be excess capacity, just sometimes more and sometimes less.  And hence decisions will be necessary as to what of the available capacity to use at any given moment.  While complex, the ultimate driver of this will be (or at least should be, in a rational system) the short-run costs of producing power from the possible alternative sources available in the region where the power is needed.  These costs will be examined in the next section below.  But for here, we will look at how generation has changed over the last several years.

In terms of the change in power generation by source relative to the levels in 2010, one finds:

Gas now accounts for the largest increment in generation over this period, with solar and wind also growing (steadily) but by significantly less.  Coal powered generation, in contrast, fell substantially, while nuclear and other sources were basically flat.  And as noted above, due to increased efficiency in the use of power (until 2017), total power use was flat to falling a bit, even as GDP grew substantially.  This reversed in 2018  when efficiency fell, and gas generated power rose to provide for the resulting increased power demands.  Solar and wind continued on the same path as before, and coal generation still fell at a similar pace as before.  But it remains to be seen whether 2018 marked a change in the previous trend in efficiency gains, or was an aberration.

Why did power generation from gas rise by more than from solar and wind over the period, despite the larger increase in solar plus wind capacity than in gas generation capacity?  In part this reflects the cost factors which we will discuss in the next section below.  But in part one needs also to recognize factors inherent in the technologies.  Solar generation can only happen during the day (and also when there is no cloud cover), while wind generation depends on when the wind blows.  Without major power storage, this will limit how much solar and wind can be used.

The extent to which some source of power is in fact used over some period (say a year), as a share of what would be generated if the power plant operated at 100% of capacity for 24 hours a day, 365 days a year, is defined as the “capacity factor”.  In 2018, the capacity factor realized for solar photovoltaic systems was 26.1% while for wind it was 37.4%.  But for no power source is it 100%.  For natural gas combined cycle plants (the primary source of gas generation), the capacity factor was 57.6% in 2018 (up from 51.3% in 2017, due to the jump in power demand in 2018).  This is well below the theoretical maximum of 100% as in general one will be operating at less than peak capacity (plus plants need to be shut down periodically for maintenance and other servicing).

Thus increments in “capacity”, as measured, will therefore not tell the whole story.  How much such capacity is used also matters.  And the capacity factors for solar and wind will in general be less than what they will be for the other primary sources of power generation, such as gas, coal, and nuclear (and excluding the special case of plants designed solely to operate for short periods of peak load times, or plants used as back-ups or for cases of emergencies).  But how much less depends only partly on the natural constraints on the clean technologies.  It also depends on marginal operating costs, as we will discuss below.

Finally, while gas plus solar and wind have grown in terms of power generation since 2010, and coal has declined (and nuclear and other sources largely unchanged), coal-fired generation remains important.  In terms of the percentage shares of overall power generation:

While coal has fallen as a share, from about 45% of US power generation in 2010 to 27% in 2018, it remains high.  Only gas is significantly higher (at 35% in 2010).  Nuclear and other sources (such as hydro) accounts for 29%, with nuclear alone accounting for two-thirds of this and other sources the remaining one-third.  Solar and wind have grown steadily, and at a rapid rate relative to where they were in 2010, but in 2018 still accounted only for about 8% of US power generation.

Thus while coal has come down, there is still very substantial room for further substitution out of coal, by either solar and wind or by natural gas.  The cost factors that will enter into this decision on substituting out of coal will be discussed next.

E.  The Cost Factors That Enter in the Decisions on What Plants to Build, What Plants to Keep in Operation, and What Plants to Use

The Lazard analysis of costs presents estimates not only for the LCOE of newly built power generation plants, but also figures that can be used to arrive at the costs of operating a plant to produce power on any given day, and of operating a plant plus keeping it maintained for a year.  One needs to know these different costs in order to address different questions.  The LCOE is used to decide whether to build a new plant and keep it in operation for a period (20 years is used); the operating cost is used to decide which particular power plant to run at any given time to generate the power then needed (from among all the plants up and available to run that day); while the operating cost plus the cost of regular annual maintenance is used in the decision of whether to keep a particular plant open for another year.

The Lazard figures are not ideal for this, as they give cost figures for a newly built plant, using the technology and efficiencies available today.  The cost to maintain and operate an older plant will be higher than this, both because older technologies were less efficient but also simply because they are older and hence more liable to break down (and hence cost more to keep running) than a new plant.  But the estimates for a new plant do give us a sense of what the floor for such costs might be – the true costs for currently existing plants of various ages will be somewhat higher.

Lazard also recognized that there will be a range of such costs for a particular type of plant, depending on the specifics of the particular location and other such factors.  Their report therefore provides both what it labels low end and high end estimates, and with a mid-point estimate then based usually on the average between the two.  The figures shown in the chart at the top of this post are the mid-point estimates, but in the tables below we will show the low and high end cost estimates as well.  These figures are helpful in providing a sense of the range in the costs one should expect, although how Lazard defined the range they used is not fully clear.  They are not of the absolutely lowest possible cost plant nor absolutely highest possible cost plant.  Rather, the low end figures appear to be averages of the costs of some share of the lowest cost plants (possibly the lowest one third), and similarly for the high end figures.

The cost figures below are from the 2018 Lazard cost estimates (the most recent year available).  The operating and maintenance costs are by their nature current expenditures, and hence their costs will be in current, i.e. 2018, prices.  The LCOE estimates of Lazard are different.  As was noted above, these are the levelized prices that would need to be charged for the power generated to cover the costs of building and then operating and maintaining the plant over its assumed (20 year) lifetime.  They therefore need to be adjusted to reflect current prices.  For the chart at the top of this post, they were put in terms of 2017 prices (to make them consistent with the PPA prices presented in the Berkeley report discussed above).  But for the purposes here, we will put them in 2018 prices to ensure consistency with the prices for the operating and maintenance costs.  The difference is small (just 2.2%).

The cost estimates derived from the Lazard figures are then:

(all costs in 2018 prices)

A.  Levelized Cost of Energy from a New Power Plant:  $/MWHr

Solar

Wind

Gas

Coal

Nuclear

low end

$31.23

$22.65

$32.02

$46.85

$87.46

mid-point

$33.58

$33.19

$44.90

$79.26

$117.52

high end

$35.92

$43.73

$57.78

$111.66

$147.58

B.  Cost to Maintain and Operate a Plant Each year, including for Fuel:  $/MWHr

Solar

Wind

Gas

Coal

Nuclear

low end

$4.00

$9.24

$24.38

$23.19

$23.87

mid-point

$4.66

$10.64

$26.51

$31.30

$25.11

high end

$5.33

$12.04

$28.64

$39.41

$26.35

C.  Short-term Variable Cost to Operate a Plant, including for Fuel:  $/MWHr

Solar

Wind

Gas

Coal

Nuclear

low end

$0.00

$0.00

$23.16

$14.69

$9.63

mid-point

$0.00

$0.00

$25.23

$18.54

$9.63

high end

$0.00

$0.00

$27.31

$22.40

$9.63

A number of points follow from these cost estimates:

a)  First, and as was discussed above, the LCOE estimates indicate that for the question of what new type of power plant to build, it will in general be cheapest to obtain new power from a solar or wind plant.  The mid-point LCOE estimates for solar and wind are well below the costs of power from gas plants, and especially below the costs from coal or nuclear plants.

But also as noted before, local conditions vary and there will in fact be a range of costs for different types of plants.  The Lazard estimates indicate that a gas plant with costs at the low end of a reasonable range (estimated to be about $32 per MWHr) would be competitive with solar or wind plants at the mid-point of their cost range (about $33 to $34 per MWHr), and below the costs of a solar plant at the high end of its cost range ($36) and especially a wind plant at its high end of its costs ($44).  However, there are not likely to be many such cases:  Gas plants with a cost at their mid-point estimate would not be competitive, and even less so for gas plants with a cost near their high end estimate.

Furthermore, even the lowest cost coal and nuclear plants would be far from competitive with solar or wind plants when considering the building of new generation capacity.  This is consistent with what we saw in Section D above, of no new coal or nuclear plants being built in recent years (with the exception of one nuclear plant whose construction started decades ago and was only finished in 2016).

b)  More interesting is the question of whether it is economic to build new solar or wind plants to substitute for existing gas, coal, or nuclear plants.  The figures in panel B of the table on the cost to operate and maintain a plant for another year (all in terms of $/MWHr) can give us a sense of whether this is worthwhile.  Keeping in mind that these are going to be low estimates (as they are the costs for newly built plants, using the technologies available today, not for existing ones which were built possibly many years ago), the figures suggest that it would make economic sense to build new solar and wind plants (at their LCOE costs) and decommission all but the most efficient coal burning plants.

However, the figures also suggest that this will not be the case for most of the existing gas or nuclear plants.  For such plants, with their capital costs already incurred, the cost to maintain and operate them for a further year is in the range of $24 to $29 (per MWHr) for gas plants and $24 to $26 for nuclear plants.  Even recognizing that these costs estimates will be low (as they are based on what the costs would be for a new plant, not existing ones), only the more efficient solar and wind plants would have an LCOE which is less.  But they are close, and are on the cusp of the point where it would be economic to build new solar and wind plants and decommission existing gas and nuclear plants, just as this is already the case for most coal plants.

c)  Panel C then provides figures to address the question of which power plants to operate, for those which are available for use on any given day.  With no short-term variable cost to generate power from solar or wind sources (they burn no fuel), it will always make sense to use those sources first when they are available.  The short-term cost to operate a nuclear power plant is also fairly low ($9.63 per MWHr in the Lazard estimates, with no significant variation in their estimates).  Unlike other plants, it is difficult to turn nuclear plants on and off, so such plants will generally be operated as baseload plants kept always on (other than for maintenance periods).

But it is interesting that, provided a coal burning plant was kept active and not decommissioned, the Lazard figures suggest that the next cheapest source of power (if one ignores the pollution costs) will be from burning coal.  The figures indicate coal plants are expensive to maintain (the difference between the figures in panel B and in panel C) but then cheap to run if they have been kept operational.  This would explain why we have seen many coal burning plants decommissioned in recent years (new solar and wind capacity is cheaper than the cost of keeping a coal burning plant maintained and operating), but that if the coal burning plant has been kept operational, that it will then typically be cheaper to run rather than a gas plant.

d)  Finally, existing gas plants will cost between $23 and $27 per MWHr to run, mostly for the cost of the gas itself.  Maintenance costs are low.  These figures are somewhat less than the cost of building new solar or wind capacity, although not by much.

But there is another consideration as well.  Suppose one needs to add to night-time capacity, so solar power will not be of use (assuming storage is not an economic option).  Assume also that wind is not an option for some reason (perhaps the particular locale).  The LCOE figures indicate that a new gas plant would then be the next best alternative.  But once this gas plant is built, it will be available also for use during the day.  The question then is whether it would be cheaper to run that gas plant during the day also, or to build solar capacity to provide the day-time power.

And the answer is that at these costs, which exclude the costs from the pollution generated, it would be cheaper to run the gas plant.  The LCOE costs for new solar power ranges from $31 to $36 per MWHr (panel A above), while the variable cost of operating a gas plant built to supply nighttime capacity ranges between $23 and $27 (panel C).  While the difference is not huge, it is still significant.

This may explain in part why new gas generation capacity is not only being built in the US, but also is then being used more than other sources for additional generation, even though new solar and wind capacity would be cheaper.  And part of the reason for this is that the costs imposed on others from the pollution generated by burning fossil fuels are not being borne by the power plant operators.  This will be examined in the next section below.

F.  The Impact of Including the Cost of Greenhouse Gas Emissions

Burning fossil fuels generates pollution.  Coal is especially polluting, in many different ways. But I will focus here on just one area of damage caused by the burning of fossil fuels, which is that from their generation of greenhouse gases.  These gases are warming the earth’s atmosphere, with this then leading to an increased frequency of extreme weather events, from floods and droughts to severe storms, and hurricanes of greater intensity.  While one cannot attribute any particular storm to the impact of a warmer planet, the increased frequency of such storms in recent decades is clearly a consequence of a warmer planet.  It is the same as the relationship of smoking to lung cancer.  While one cannot with certainty attribute a particular case of lung cancer to smoking (there are cases of lung cancer among people who do not smoke), it is well established that there is an increased likelihood and frequency of lung cancer among smokers.

When the costs from the damage created from greenhouse gases are not borne by the party responsible for the emissions, that party will ignore those costs.  In the case of power production, they do not take into account such costs in deciding whether to use clean sources (solar or wind) to generate the power needed, or to burn coal or gas.  But the costs are still there and are being imposed on others.  Hence economists have recommended that those responsible for such decisions face a price which reflects such costs.  A specific proposal, discussed in an earlier post on this blog, is to charge a tax of $40 per ton of CO2 emitted.  All the revenue collected by that tax would then be returned in equal per capita terms to the American population.  Applied to all sources of greenhouse gas emissions (not just power), the tax would lead to an annual rebate of almost $500 per person, or $2,000 for a family of four.  And since it is the rich who account most (in per person terms) for greenhouse gas emissions, it is estimated that such a tax and redistribution would lead to those in the lowest seven deciles of the population (the lowest 70%) receiving more on average than what they would pay (directly or indirectly), while only the richest 30% would end up paying more on a net basis.

Such a tax on greenhouse gas emissions would have an important effect on the decision of what sources of power to use when power is needed.  As noted in the section above, at current costs it is cheaper to use gas-fired generation, and even more so coal-fired generation, if those plants have been built and are available for operation, than it would cost to build new solar or wind plants to provide such power.  The costs are getting close to each other, but are not there yet.  If gas and coal burning plants do not need to worry about the costs imposed on others from the burning of their fuels, such plants may be kept in operation for some time.

A tax on the greenhouse gases emitted would change this calculus, even with all other costs as they are today.  One can calculate from figures presented in the Lazard report what the impact would be.  For the analysis here, I have looked at the impact of charging $20 per ton of CO2 emitted, $40 per ton of CO2, or $60 per ton of CO2.  Analyses of the social cost of CO2 emissions come up with a price of around $40 per ton, and my aim here was to examine a generous span around this cost.

Also entering is how much CO2 is emitted per MWHr of power produced.  Figures in the Lazard report (and elsewhere) put this at 0.51 tons of CO2 per MWHr for gas burning plants, and 0.92 tons of CO2 per MWHr for coal burning plants.  As has been commonly stated, the direct emissions of CO2 from gas burning plants is on the order of half of that from coal burning plants.

[Side note:  This does not take into account that a certain portion of natural gas leaks out directly into the air at some point in the process from when it is pulled from the ground, then transported via pipelines, and then fed into the final use (e.g. at a power plant).  While perhaps small as a percentage of all the gas consumed (the EPA estimates a leak rate of 1.4%, although others estimate it to be more), natural gas (which is primarily methane) is itself a highly potent greenhouse gas with an impact on atmospheric warming that is 34 times as great as the same weight of CO2 over a 100 year time horizon, and 86 times as great over a 20 year horizon.  If one takes such leakage into account (of even just 1.4%), and adds this warming impact to that of the CO2 that is produced by the gas that has not leaked out but is burned, natural gas turns out to have a similar if not greater atmospheric warming impact as that resulting from the burning of coal.  However, for the calculations below, I will leave out the impact from leakage.  Including this would lead to even stronger results.]

One then has:

D.  Cost of Greenhouse Gas Emissions:  $/MWhr

Solar

Wind

Gas

Coal

Nuclear

Tons of CO2 Emitted per MWHr

0.000

0.000

0.510

0.920

0.000

Cost at $20/ton CO2

$0.00

$0.00

$10.20

$18.40

$0.00

Cost at $40/ton CO2

$0.00

$0.00

$20.40

$36.80

$0.00

Cost at $60/ton CO2

$0.00

$0.00

$30.60

$55.20

$0.00

E.  Levelized Cost of Energy for a New Power Plant, including Cost of Greenhouse Gas Emissions (mid-point figures):  $/MWHr

Solar

Wind

Gas

Coal

Nuclear

Cost at $20/ton CO2

$33.58

$33.19

$55.10

$97.66

$117.52

Cost at $40/ton CO2

$33.58

$33.19

$65.30

$116.06

$117.52

Cost at $60/ton CO2

$33.58

$33.19

$75.50

$134.46

$117.52

F.  Short-term Variable Cost to Operate a Plant, including Fuel and Cost of Greenhouse Gas Emissions (mid-point figures):  $/MWHr

Solar

Wind

Gas

Coal

Nuclear

Cost at $20/ton CO2

$0.00

$0.00

$35.43

$36.94

$9.63

Cost at $40/ton CO2

$0.00

$0.00

$45.63

$55.34

$9.63

Cost at $60/ton CO2

$0.00

$0.00

$55.83

$73.74

$9.63

Panel D shows what would be paid, per MWHr, if greenhouse gas emissions were charged for at a rate of $20 per ton of CO2, of $40 per ton, or of $60 per ton.  The impact would be significant, ranging from $10 to $31 per MWHr for gas and $18 to $55 for coal.

If these costs are then included in the Levelized Cost of Energy figures (using the mid-point estimates for the LCOE), one gets the costs shown in Panel E.  The costs of new power generation capacity from solar or wind sources (as well as nuclear) are unchanged as they have no CO2 emissions.  But the full costs of new gas or coal fired generation capacity will now mean that such sources are even less competitive than before, as their costs now also reflect, in part, the damage done as a result of their greenhouse gas emissions.

But perhaps most interesting is the impact on the choice of whether to keep burning gas or coal in plants that have already been built and remain available for operation.  This is provided in Panel F, which shows the short-term variable cost (per MWHr) of power generated by the different sources.  These short-term costs were primarily the cost of the fuel used, but now also include the cost to compensate for the damage from the resulting greenhouse gas emissions.

If gas as well as coal had to pay for the damages caused by their greenhouse gas emissions, then even at a cost of just $20 per ton of CO2 emitted they would not be competitive with building new solar or wind plants (whose LCOEs, in Panel E, are less).  At a cost of $40 or $60 per ton of CO2 emitted, they would be far from competitive, with costs that are 40% to 120% higher.  There would be a strong incentive then to build new solar and wind plants to serve what they can (including just the day time markets), while existing gas plants (primarily) would in the near term be kept in reserve for service at night or at other times when solar and wind generation is not possible.

G.  Summary and Conclusion

The cost of new clean sources of power generation capacity, wind and especially solar, has plummeted over the last decade, and it is now cheaper to build new solar or wind capacity than to build new gas, coal, and especially nuclear capacity.  One sees this not only in estimates based on assessments of the underlying costs, but also in the actual market prices for new generation capacity (the PPA prices in such contracts).  Both have plummeted, and indeed at an identical pace.

While it was only relatively recently that the solar and wind generation costs have fallen below the cost of generation from gas, one does see these relative costs reflected in the new power generation capacity built in recent years.  Solar plus wind (together) account for the largest single source of new capacity, with gas also high.  And there have been no new coal plants since 2013 (nor nuclear, with the exception of one plant coming online which had been under construction for decades).

But while solar plus wind plants accounted for the largest share of new generation capacity in recent years, the impact on the overall mix was low.  And that is because not that much new generation capacity has been needed.  Up until to at least 2017, efficiency in energy use was improving to such an extent that no net new capacity was needed despite robust GDP growth.  A large share of something small will still be something small.

However, the costs of building new solar or wind generation capacity have now fallen to the point where it is cheaper to build new solar or wind capacity than it costs to maintain and keep in operation many of the existing coal burning power plants.  This is particularly the case for the older coal plants, with their older technologies and higher maintenance costs.  Thus one should see many of these older plants being decommissioned, and one does.

But it is still cheaper, when one ignores the cost of the damage done by the resulting pollution, to maintain and operate existing gas burning plants, than it would cost to build new solar or wind plants to generate the power they are able to provide.  And since some of the new gas burning plants being built may be needed to add to night-time generation capacity, this means that such plants will also be used to generate power by burning gas during the day, instead of installing solar capacity.

This cost advantage only holds, however, because gas-burning plants do not have to pay for the costs resulting from the damage their pollution causes.  While they pollute in many different ways, one is from the greenhouse gases they emit.  But if one charged them just $20 for every ton of CO2 released into the atmosphere when the gas is burned, the result would be different.  It would then be more cost competitive to build new solar or wind capacity to provide power whenever they can, and to save the gas burning plants for those times when such clean power is not possible.

There is therefore a strong case for charging such a fee.  However, many of those who had previously supported such an approach to address global warming have backed away in recent months, arguing that it would be politically impossible.  That assessment of the politics might be correct, but it really makes no sense.  First, it would be politically important that whatever revenues are generated are returned in full to the population, and on an equal per person basis.  While individual situations will of course vary (and those who lose out on a net basis, or perceive that they will, will complain the loudest), assessments based on current consumption patterns indicate that those in the lowest seven deciles of income (the lowest 70%) will on average come out ahead, while only those in the richest 30% will pay more.  It is the rich who, per person, account for the largest share of greenhouse gas emissions, creating costs that others are bearing.  And a redistribution from the richest 30% to the poorest 70% would be a positive redistribution.

But second, the alternative to reducing greenhouse gas emissions would need to be some approach based on top-down directives (central planning in essence), or a centrally directed system of subsidies that aims to offset the subsidies implicit in not requiring those burning fossil fuels to pay for the damages they cause, by subsidizing other sources of power even more.  Such approaches are not only complex and costly, but rarely work well in practice.  And they end up costing more than a fee-based system would.  The political argument being made in their favor ultimately rests on the assumption that by hiding the higher costs they can be made politically more acceptable.  But relying on deception is unlikely to be sustainable for long.

The sharp fall in costs for clean energy of the last decade has created an opportunity to switch our power supply to clean sources at little to no cost.  This would have been impossible just a few years ago.  It would be unfortunate in the extreme if we were to let this opportunity pass.