Emissions Reduction

 

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This page focuses on the costs associated with emissions reductions.  The costs are presented in two forms: (1) marginal cost, as represented by the $ per ton of carbon reduced, and (2) the percent reduction in GDP.   (When possible, both values are given.)  The goal of the page is to familiarize the reader with the general range of cost estimates provided in the literature. 

It may help to consider for a moment the meaning of the GDP cost concept.  As discussed on the Costs of Mitigation page, GDP is not a true measure of welfare, but of economic activity.  Given that, what does this two percent reduction in economic activity really mean in the economy?  The counter-view to that expressed by Darmstadter is illustrated by a discussion in Schelling's chapter on the Economics of Global Warming.  Schelling identifies the policy question at hand - namely, are we willing to spend 2% of GNP to mitigate climate change, or is our money spent better elsewhere [18]?  The scope of available models does not generally allow for a full evaluation of where the money is best spent.  For this reason, the question at hand, is - does 2% of GNP seem to be a manageable cost and are we willing to pay it?  The interesting consideration that Schelling brings to the table is as follows.  "Subtracting 2% in perpetuity lowers the GNP curve by not that much more than the thickness of a line drawn with a number two pencil, or to formulate it as I did earlier, it postpones the GNP of 2050 until 2051" [18].  The postponement of a higher standard of living by one year has a much different ring to it than the estimated equivalent loss of $10 trillion from American GNP over the next sixty years [18].

The information is divided into three sections.  Section 1 contains the results of an Energy Modeling Forum study published in 1993, which compares the costs of several top-down models.  The study standardizes assumptions about several exogenous variables and compares the cost over the same time frame and reduction scenarios.  These results are obtained from the Climate Change 1995: Economic and Social Dimensions of Climate Change text [1].

Section 2 looks at the OECD's model comparison project, which also attempts to standardize key inputs and reduction targets.  The information provided was taken from the OECD Working Paper, "Costs of Reducing CO2 Emissions: Evidence from Six Global Models" [4].

Section 3 contains an overview of the main assumptions and results of U.S. bottom-up studies.  These results are taken from the Climate Change 1995: Economic and Social Dimensions of Climate Change text as well [1].

It is interesting to compare results in Sections 1 and 2 because some of the same models are used and yet different results are reached.  This illustrates the points made in the discussion on the key assumptions page of this web site.  It is also interesting to note the relatively lower cost predictions made by the bottom-up models vs. the top-down models.

 

Section 1: Energy Modeling Forum results - Comparison of top-down models

Common Assumptions

GDP GROWTH RATE average of the IPCC high and low economic growth cases
BACKSTOP TECHNOLOGY (assumed to be available 2010 but models assumed different rates of penetration into the economy) a liquid synthetic fuel derived from coal or shale at $50/barrel of oil equivalent
a noncarbon-based liquid fuel at $100/barrel of crude oil equivalent
a noncarbon based electric option at 75 mills/kWh
POPULATION same as IPCC / consistent throughout
OIL PRICES set exogenously at $24 per barrel in 1990 rising by $6.50 per barrel each decade in real terms to reach $50 in 2030 and stay.  GREEN model has prices endogenized.
REVENUE RECYCLING assumed lump sum redistribution of tax revenues.

Table information taken from Bruce, et.al. (ed.) Climate Change 1995: Economic and Social Dimensions of Climate Change. [1]

Models used and comparison of carbon taxes and GDP loses in 2010.

Model/Modelers Model Type Regions Horizon Stabilization

$ per ton Carbon / %GDP

Reduce  20% below 1990 levels

$ per ton Carbon / %GDP

CRTM (Rutheford) Disaggregated economic equilibrium 5 global 2100 150 / 0.2 260/1.0
DGEM (Jorgenson and Wilcoxen) Disaggregated economic equilibrium U.S. 2050 20 / 0.6 50/1.7
ERM (Edmonds and Reilly) Energy-sector equilibrium 9 global 2095 70 / 0.4 160 / 1.1
Fossil 2 (Belanger and Naill) Energy-sector equilibrium U.S. 2030 80 / 0.2 250 / 1.4
Gemini (Cohan and Scheraga) Energy-sector equilibrium U.S. 2030 120 / n.a. 330 / n.a.
Global 2100 (Manne and Richels) Aggregate economic equilibrium 5 global 2100 110 / .7 240 / 1.5
Global Macro-economy (Pepper) Energy-sector equilibrium 9 global 2100 20 / n.a. 130 / n.a.
Goulder Disaggregated economic equilibrium U.S. 2030 20 / .3 50 / 1.2
GREEN (Martins and Burniaux) Disaggregated economic equilibrium 8 global 2050 80 / .2 170 / .9
MWC (Mihntzer) Energy-sector equilibrium 9 global 2095 70 / .5 180 / 1.1
Source: Modified from Bruce, et.al. (ed.) Climate Change 1995: Economic and Social Dimensions of Climate Change. [1]

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Section 2: OECD Model Comparisons Project results

Results are presented for years and scenarios most useful for comparison to the Section 1 results.  The Whalley-Wigle model results, which were used in the OECD study, are not included in the table because the model is a comparative-static general equilibrium model.  These models do not give the dynamic path of changes in costs and thus can not be compared along the same time frame as the other models [4].  A discussion of the common assumptions used for the comparison, as well as a description of the models used, can be found in the following paragraphs.

 

Common Assumptions

POPULATION rises from 5.3 billion in 2050 and to 10.4 billion by 2100 
nearly all the growth is in China and other developing countries
OUTPUT GROWTH slows  from  2.5% per year in 1990s in OECD countries to 1 % per year
slows from 4% per year in 1990s in developing countries to 3% per year
OIL PRICES set exogenously at $26 per barrel in 1990 rising by $6 per decade in real terms to reach $50 in 2030 and stay.  GREEN model has prices endogenized.

Source:  Information for table taken from Dean and Holler, 1992. [4]

 

Models used

Model Type Horizon Regions Fuel sources Comment
CRTM - Carbon Rights Trade Model (Rutherford) recursive dynamic general equilibrium model 2100 5 seven including backstop technologies focus on impact of restrictions on international trade; tradeable permits
ERM (Edmonds-Reilly) partial equilibrium model with detailed dynamic energy sub-model 2095 9 six primary and four secondary fuels energy traded; includes other greenhouse gases; energy-economy links simple
GREEN (OECD model) recursive dynamic general equilibrium model 2050 12 three primary and two secondary fuels plus three backstop technologies full trade links plus tradeable permits; oil price endogenous
IEA - International Energy Agency Model econometrically-estimated detailed energy model 2005 10 five with many product breakdowns much energy detail for OECD 
MR - Manne-Richels Global 2100 Model dynamic intertemporal optimizing model with detailed energy model 2100 5 nine including backstop technologies forward-looking inter-temporal model; only oil trade is modeled; tradeable permits
WW -  Whalley-Wiggle Model comparative static general equilibrium model  1990 - 2100 6 two trade links; focus on international incidence of carbon taxes

Source: Table modified from Dean and Holler, 1992. [4]

 

Summary of results - simulation results for 2 percentage point reduction in baseline emission growth ($ per ton carbon / percentage GDP loss relative to baseline) 

 

CRTM

ERM

GREEN

MR

IEA

Year 2020 2050 2100 2020 2050 2095 2020 2050 2020 2050 2000 2005
U.S. 324 / 1.3 754 / 2.5 208 / 2.6 351 / 2.0 1095 / 4.9 2754 / 8.8 223 / 1.1 340 / 1.3 354 / 2.2 208 / 2.7 256 376
Other OECD 233 / 0.4 365 / 1.1 208 / 1.5 342 / 1.9 734 / 3.4 1240 / 4.8 239 / 1.2 299 / 1.6 241 / 1.1 208 / 1.6 388 548
China 320 / 2.0 109 / 3.1 208 / 3.6 182 / 2.8 341 / 4.3 651 / 6.2 26 / 0.7 67 / 1.5 271 / 2.7 240 / 3.8 n.a. n.a.
Former USSR 322 / 1.5 245 / 5.8 758 / 4.1 104 / 0.9 325 / 2.3 719 / 3.7 69 / 1.7 180 / 3.7 301 / 3.1 990 / 6.4 n.a. n.a.
Rest of World 409 / 2.3 763 / 2.1 208 / 4.5 430 / 2.0 1012 / 3.5 2021 / 5.1 184 / 3.8 329 / 4.4 399 / 4.9 727 / 5.1 n.a. n.a.
Total 325 / 1.5 884 / 2.4 235 / 3.6 283 / 1.9 680 / 3.8 1304 / 5.8 149 / 1.9 230 / 2.6 171 / 2.9 448 / 3.7 n.a. n.a.

Source: Modified from Dean and Hoeller. "Costs of Reducing CO2 Emissions: Evidence from Six Global Models." [4]

Notes:

The results present the cost of a two percentage point reduction, from a business as usual emissions path, in the rate of growth of emissions.  Thus, the amount of reductions, in percentage terms, will be similar across the models even though the baseline and growth predictions will not be the same.

 

Summary of results - Simulation results for stabilization scenario: Stabilization of emissions at 1990 levels ($ per ton carbon / percentage GDP loss relative to baseline)

 

CRTM

ERM

GREEN

MR

IEA

Year 2010 2050 2100 2010 2050 2095 2010 2050 2010 2050 2100 2005
U.S. 95 / 0.1 142 / 0.9 208 / 1.8 59 / 0.31* 119 / 0.81 178 / 0.46 58 / 0.26 51 / 0.26 83 / 0.69 208 / 2.11 208 / 2.43 176
Other OECD 95 / 0.1 216 / 0.3 208 / 1.0 77 / 0.4* 134 / 0.92 202 / 0.91 42 / 0.33 85 / 1.62 74 / 0.48 208 / 1.31 208 / 1.61 n.a.
China 166 / 0.8 82 / 2.2 208 / 3.8 143 / 1.57 478 / 5.67 1700 / 12.7 220 / 1.84 466 / 5.56 166 / 2.01 580 / 4.05 208 / 5.23 n.a.
Former USSR 104 / 0.1 0 / -0.1 208 / 0.6 0 / 0.2 26 / 0.33 106 / 0.58 59 / 0.86 89 / 2.07 166 / 1.35 30 / 0.79 212 / 2.87 n.a.
Rest of World 216 / 1.0 309 / 1.1 208 / 4.5 189 / 0.64 779 / 2.96 2236 / 3.69 182 / 2.73 404 / 4.45 240 / 3.01 709 / 5.2 169 / 5.69 n.a.

* Value given is for GDP loss in 2005.

Source: Modified from Dean and Hoeller. "Costs of Reducing CO2 Emissions: Evidence from Six Global Models." [4]

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Section 3: Results from U.S. bottom-up studies

The results presented below were not taken from a comparative analysis of bottom up models, which means that they studies included were not normalized in terms of factors such as economic growth, structural change, fuel prices, technology costs, or policy effectiveness.  Thus, the range of emissions reduction costs is wider than that presented for the top-down comparison studies.

Trends are apparent, however.  Within the 1990-2030 time frame the results show that larger reductions become feasible at zero net costs and that mitigation costs decline as adjustment periods increase [1].  The discussion in the Climate Change 1995 text identifies three reasons for these findings, and a more detailed discussion about the characteristics of both top-down and bottom-up models can be viewed on the web page "Top-down vs. bottom-up models".  

The three factors that lead to the pattern of results include the following: (1) bottom-up studies generally identify large energy efficiency potentials that are not included in the reference case; (2) the studies identify transition benefits rather than transaction costs for technology shifts because energy improvements are assumed to occur at the economically optimal rate of capital stock replacement; and (3) inexpensive cogeneration opportunities are included in the models [1].

 

Bottom up studies of U.S. emissions mitigation costs - major assumptions and results

Study Base Year Forecast Year GDP (% annual growth rate) Discount rate CO Reduction (% from base year) Cost of reduction (% of GNP) Average Cost ($/tC)
Alliance to Save Energy et al. (1991) 1988 2000 2.4 3 26 -.04 n.a.
2010 2.4 3 53 -0.5 n.a.
2030 1.8 3 82 -0.6 n.a.
National Academy of Sciences (1991) 1990 not specified ----  6 24 0 0
40 0.8 9
Office of Technology Assessment (1991) 1987 2015 2.3 ---- 26 -0.2 n.a.
53 -0.2/1.8.0 n.a.
U.S. EPA (1990) 1988 2005 2.5 7 3 0 0
2010 2.5 7 0 n.a. n.a.
SEI/Greenpeace (1993) 1988 2030 2.1 8 74 0 0
Carlsmith et al. (1990) 1988 2010 2.5 7 0 0 0
20 0.5 n.a.
Chandler & Kolar (1990) 1985 2030 2.5 7 0 0 0
20 0.5  
Chandler & Nicholls (1990) 1989 2000 ---- ---- 7 n.a. n.a.
20 n.a. 82
Chandler (1990) 1989 2010 2.5 7 0 n.a. 0
20 n.a. 92
Lovins & Lovins (1991) 1988 n/s ---- 5 58 0 0
Mills et al. (1991) 1988 2000 2.5 6 21 -1.2 -231
Rubin et al. (1992) 1989 not specified ---- 6 35 0 0 - <0

n.a. = not available

Source: Modified from Bruce, et al. (ed.) Climate Change 1995: Economic and Social Dimensions of Climate Change [1].

Note: Details on percent annual growth rates for energy prices that several of the models used can be found in the Climate Change 1995: Economic and Social Dimensions of Climate Change text.  These differences account for the apparent internal model result discrepancies. 

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