Climate Policy

In discussions of a cap-and-trade system for implementation of Kyoto Protocol-type quantity targets, a "safety valve" was proposed where, by government sales of emissions permits at a fixed price, the marginal cost of the effort could be limited to a predetermined level. The advantages seen for such a hybrid system included the shifting of the Kyoto architecture toward a price-based system, and the blunting of opposition to the Protocol on the basis of anticipated high cost. This paper reviews the theoretical underpinnings of the preference for a price instrument for controlling stock pollutants like greenhouse gases, and summarizes the arguments supporting and opposing the safety valve idea within the policy debate. If, in the face of uncertainty, emissions are to be limited to a fixed quantity target, then some means needs to be provided to avoid complete inflexibility. A safety valve can serve this function, although similar advantages can be achieved by the phasing in of quantity targets, coupled with provision for banking and borrowing.

A critical issue in dealing with climate change is deciding who has a right to emit carbon dioxide (CO2), and under what conditions, when those emissions are limited. The European Union Emissions Trading Scheme (EU ETS) is the world's first large experiment with an emission trading system for CO2 and it is likely to be copied by others if there is to be a global regime for limiting greenhouse gas emissions. This paper provides the first in-depth description and analysis of the process by which rights to emit carbon dioxide were created and distributed in the EU ETS. The main objective of the paper is to distill the lessons and general principles to be learned from the allocation of allowances in the EU ETS, i.e. in the world's first experience with allocating carbon allowances to sub-national entities. We discuss the lessons and unifying observations that emerge from this experience and provide some insights on what seem to be more general principles informing the allocation process and on what are the global implications of the EU ETS.

We re-evaluate prospects for US economic growth and the likely costs of advanced technologies given recent developments, and then apply the MIT Emissions Prediction and Policy Analysis (EPPA) model to evaluate three core GHG policy scenarios for the US that cap emissions at different levels. The three policy scenarios involve allowance allocations that through 2050 are: (1) constant at present emissions levels, (2) linearly reduced to 50% below present, (3) linearly reduce emissions to 80% below present. The cumulative allowance allocations over the horizon of the policy are 287, 203 and 167 Gt of CO2 equivalent, respectively.We compare the results to previous analysis of these same policy scenarios to evaluate how the changed growth and technology prospects affect the results. We focus on 203 and 167 Gt scenarios because current proposals envision deep cuts in emissions from present. The 167 Gt scenario is closest to proposals currently being considered by Congress and supported by the US Administration however we do not attempt to model specific details of actual proposals. We test results to alternative assumptions about program coverage and banking behavior. Measured in terms of changes in economic welfare, the economic cost of 203 and 167 Gt cases is in the range of 2 to 3% by 2050, with CO2 prices between $48 and $67 in 2015 rising to between $190 and $266 by 2050. Implementation details matter: when an idealized economy-wide cap-and-trade is replaced by coverage omitting some sectors, or if the credibility of long-term target is weak (limiting banking behavior) prices and welfare costs change substantially.

© 2009 Elsevier

Main Report: We consider the cost of meeting emissions reduction targets consistent with a G8 proposal of a 50 percent global reduction in emissions by 2050, and an Obama Administration proposal of an 80 percent reduction over this period. We apply the MIT Emissions Prediction and Policy Analysis (EPPA), modeling these two policy scenarios if met by applying a national cap-and-trade system, and compare results with an earlier EPPA analysis of reductions of this stringency. We also test results to alternative assumptions about program coverage, banking behavior, and cost of technology in the electric power sector. Two main messages emerge from the exercise. First, technology uncertainties have a huge effect on the generation mix but only a moderate effect on the emissions price and welfare cost of achieving the assumed targets. Measured in terms of changes in economic welfare, the economic cost of 80 percent reduction by 2050 is in the range of 2 to 3% by 2050, with CO2 prices between $48 and $67 in 2015 rising to between $190 and $266 by 2050. Second, implementation matters. When an idealized economy-wide cap-and-trade is replaced by coverage omitting some sectors, or if the credibility of long-term target is weak (limiting banking behavior) prices and welfare costs change substantially.

Appendix B: This note provides an overview of different measures of costs of climate policy. While in our studies we stress emissions prices and welfare changes, here we illustrate the measures in most common use, showing results for the 167 bmt scenario from the main report (MIT Joint Program Report 173). Similar results for the other scenarios can be derived from Appendix A. These are studies of mitigation costs only and do not consider climate benefits and potential ancillary non-climate benefits of greenhouse gas mitigation, e.g., through reduced urban air pollution.

Appendix C: The American Clean Energy and Security Act (H.R.2454) passed the House of Representatives after the completion of the main report (MIT Joint Program Report 173). In this Appendix we provide an analysis of the Act's provisions as they relate to key features governing the cap-and-trade system, the renewable electricity standard (RES), limits on new coal power plants and support for carbon capture and storage(CCS), applying the Emissions Prediction and Policy Analysis (EPPA) model used in the main report. While the overall economy-wide target in H.R. 2454, of no more than 161 billion metric tons of CO2-equivalent released through 2050, is similar to the 167 bmt case analyzed in the main report, other features of the Bill significantly affect projections of its cost. We find that the large allowance for outside credits could reduce the cost if indeed these are forthcoming (and inexpensive). Other provisions, such as how the revenue and allowances will be distributed, will have important distributional consequences as well, but their analysis is beyond the scope of the study presented here.
  Our central estimate shows the CO2-e price starting at $21 per ton in 2015 and rising to about $84 by 2050. We decompose the welfare costs into a total cost including H.R. 2454 and recent legislation that was motivated in part for its GHG benefits (the Energy Independence and Security Act of 2007 and American Recovery and Reinvestment Act of 2009) vs. the additional cost of H.R 2454 itself given these preexisting measures. The national welfare cost of reaching the emissions targets outlined in H.R. 2454, attributable to the bill itself, rise from about 0.1 percent to 1.45 percent over the period 2015-2050. We estimate average annual net present value cost of H.R. 2454 of about $400 per household over this horizon, but given different assumptions about the availability of offsets this estimate ranges from as low as $180 to as high as $470. A rough comparison of costs with analyses by the CBO, EIA and EPA shows results in the same general range, though our estimates are higher. [Appendix C issued: September 2009]

Appendix A: Data Tables (MS Excel file: 88 kB)
Appendix B: Measuring the Cost of Climate Policy (PDF: 83 kB)
Appendix C: Cost of Climate Policy and the Waxman-Markey American Clean Energy and Security Act of 2009 (H.R. 2454) (PDF: 260 kB)

This paper applies the MIT Emissions Prediction and Policy Analysis (EPPA) model to analysis of the cost of the Kyoto Protocol targets, with a special focus on Japan. The analysis demonstrates the implications of the use of different measures of cost, and explains the apparent paradox that the relative carbon price among Kyoto parties may not be an accurate measure of their relative welfare costs. Attention is given to the role of relative emissions intensity and various distortions, in the form of fuel and other taxes, in determining the burden of a climate policy. Also, effects of climate policy on welfare through an influence on the terms of trade are explored. We consider the cases of the EU, Japan, and Canada, each meeting their Kyoto targets, and the US meeting the Bush Administration's intensity target. For a country with a low emissions intensity as in Japan, the absolute reduction in tons is small relative to the macroeconomy, and this reduces its welfare loss as a share of total national welfare. Low emissions intensity (high energy efficiency) also means the economy has few options to reduce emissions still further, resulting in a higher carbon price. Energy efficiency thus pushes in both directions, lowering the number tons that need to be reduced but raising the direct cost per ton. But other factors also are important in explaining costs differences. Existing fuel taxes are very high in Japan and Europe, increasing the economic cost of a greenhouse gas emissions reduction policy. For these regions, the extra cost due to these distortions is several times the direct cost of the emissions mitigation policy itself. In contrast, fuels taxes are low in the US and relatively low in Canada. The US, EU, and Japan gain somewhat from reductions in world prices of oil and other fuels because they are net importers. Canada, in contrast, is a significant net energy exporter, and its policy costs rise considerably because of lost energy export revenue. This effect on Canada is due mostly to implementation of the policy in the other regions rather than to domestic implementation. Canada is also the most emissions intensive of these regions, a factor that contributes to its cost of control.

 

A common assertion in public policy discussions is that the cost of achieving the SO2 emissions reductions under the acid rain provisions of the Clean Air Act ("Title IV") has been only one-tenth or less of what Title IV was originally expected to cost. Initial cost estimates are cited in the range of $1000 to $2000 per ton of SO2 reduction and contrasted to SO2 allowance prices of about $100 per ton. Unfortunately, these are "apples-to-oranges" comparisons, leading to erroneous conclusions that greatly overstate the true divergence of actual costs from initial cost estimates. When the facts are viewed in a conceptually appropriate, "apples-to-apples" context, one finds that actual costs for SO2 reductions have been and are likely to remain near the low end of the initial range of estimates.

We all must learn to recognize conceptual pitfalls in these assessments of the SO2 program, to avoid unrealistic expectations of major new regulatory initiatives. For example, many regulatory advocates are now using the erroneous characterization of Title IV costs being one-tenth or less of their originally projected levels to argue that the new market-based regulatory approaches render ex ante cost estimates meaningless or at least much too high. This fundamentally incorrect line of reasoning already has been used to dismiss concern over cost estimates for new regulations, such as the PM2.5 and ozone air quality standards. These and other major policy initiatives deserve to be debated in light of appropriate and realistic assessments of their likely costs. This requires correcting the current misunderstandings about the actual costs of the Title IV SO2 emissions allowance market.

The following paper leads the reader through an interpretation of the facts regarding the estimated and actual costs of the SO2 program. Some of the key points include:
(1) Initial cost estimates for the Title IV SO2 program were not over $1000 per ton.
(2) Initial cost estimates for a fully-implemented Phase II cap ranged from $225-500 per ton, and costs were projected to be lower than this until the Phase II cap would be fully achieved, about ten years from now.
(3) Much confusion has arisen from comparing different cost and price concepts that become important in an allowance trading system, such as average and marginal cost, and the price of an allowance.
(4) When a market has a temporary oversupply (which has been true of the SO2 allowance market), spot market allowance prices will fail to reflect the capital cost portion of control costs, which can be a large part of the total costs.
(5) The allowance price may reflect future control costs, but regulatory uncertainty may cause future costs to be highly discounted.

The average control cost actually experienced in Phase I has been about $200 per ton. This is within the range that was initially projected. Today's most up-to-date estimates for Phase II (future) average costs are about $185 to $220 per ton. This is at the low end of the initial range of estimates. Allowance prices have been much lower, but we explain how they are consistent with actual average costs of $200 per ton.

We estimate reference CO2 emission projections in the European Union, and quantify the economic impacts of the Kyoto commitment on Member States. We consider the case where each EU member individually meets a CO2 emissions target, applying a country-wide cap and trade system to meet the target but without trade among countries. We use a version of the MIT Emissions Prediction and Policy Analysis (EPPA) model, here disaggregated to separately include 9 European Community countries and commercial and household transportation sectors. We compare our results with that of four energy-economic models that have provided detailed analyses of European climate change policy. In the absence of specific additional climate policy measures, the EPPA reference projections of carbon emissions increase by 14% from 1990 levels. The EU-wide target under the Kyoto Protocol to the Framework Convention on Climate Change is a reduction in emissions to 8% below 1990 levels. EPPA emissions projections are similar to other recent modeling results but there are underlying differences in energy and carbon intensities among the projections. If EU countries were to individually meet the EU allocation of the Community-wide carbon cap specified in the Kyoto Protocol, we find using EPPA that carbon prices vary from $91 in the United Kingdom to $385 in Denmark; welfare costs range from 0.6 to 5%.

© 2002 Elsevier Science Ltd.

Given the large uncertainties regarding potential damages from climate change and the significant but also uncertain costs of reducing greenhouse emissions, the debate over a policy response is often framed as a choice of either acting now or waiting until the uncertainty is reduced. Implicit behind the "wait to learn" argument is the notion that the ability to learn in the future necessarily implies that less restrictive policies should be chosen in the near-term. I demonstrate in the general case that the ability to learn in the future can lead to either less restrictive or more restrictive policies today. I also show that the initial decision made under uncertainty will be affected by future learning only if the actions taken today change the marginal costs or marginal damages in the future. Without this interaction, learning has no effect on what we do today, regardless of what we learn in the future. Results from an intermediate-scale integrated model of climate and economics indicate that the choice of current emissions restrictions is independent of whether or not uncertainty is resolved before future decisions, because the cross-period interactions in the model are minimal. Indeed, most climate and economic models fail to capture potentially important cross-period interaction effects. I construct a simple example to show that with stronger interactions, the effect of learning on initial period decisions can be more important.

Given the large uncertainties regarding potential damages from climate change and the significant but also uncertain costs of reducing greenhouse emissions, the debate over a policy response is often framed as a choice of either acting now or waiting until the uncertainty is reduced. Implicit behind the "wait to learn" argument is the notion that the ability to learn in the future necessarily implies that less restrictive policies should be chosen in the near-term. I demonstrate in the general case that the ability to learn in the future can lead to either less restrictive or more restrictive policies today. I also show that the initial decision made under uncertainty will be affected by future learning only if the actions taken today change the marginal costs or marginal damages in the future. Without this interaction, learning has no effect on what we do today, regardless of what we learn in the future. Results from an intermediate-scale integrated model of climate and economics indicate that the choice of current emissions restrictions is independent of whether or not uncertainty is resolved before future decisions, because the cross-period interactions in the model are minimal. Indeed, most climate and economic models fail to capture potentially important cross-period interaction effects. I construct a simple example to show that with stronger interactions, the effect of learning on initial period decisions can be more important.

Models with time horizons of 100 years are customarily used to predict anthropogenic greenhouse gas emissions and to inform the different climate-change policy dialogues. Historical evidence indicates that over this time span the current consumption patterns in developing countries are likely to change substantially and to converge to the present patterns in developed countries. The implications of such changes on emissions profiles and on the costs of policies to curtail them in developing countries are crucial aspects of a comprehensive climate-change policy agenda. This study deals with modeling this type of non-homotheticity in consumption functions within the EPPA framework based on econometric estimation and the above assumption of convergence in consumption patterns.
        We find that the composition of consumption and the consequent implications for the sources of emissions would be different in the model with static consumption-function coefficients from that in the model with dynamic coefficients, even though the regional emissions profiles are virtually the same in the two cases. The differences have significant implications for the costs of emissions restrictions in developing countries. Our results suggest that the costs of emissions restrictions in developing countries would be higher if the changes in consumption patterns are taken account of than if they are ignored in the simulation model.

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