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Decomposition analysis for assessing the United States 2025 emissions target: How big is the challenge?

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  • Shahiduzzaman, Md
  • Layton, Allan

Abstract

The United States (US) - the second largest greenhouse gases (GHGs) emitter in the world – has recently pledged a reduction of net GHGs emissions by 26–28% below its 2005 level by 2025. How big is the challenge for the country to achieve this target in terms of its present emissions profile, recent historical trends and the contributions to those trends from key proximate factors contributing to emissions? In this paper we make quantitative judgement of the challenge by using decomposition analysis. Based on the analysis and the contributions of the key drivers of energy-related CO2 emissions in the recent past, it appears that it will be quite a challenging task for the government to achieve the recently announced 2025 target. More specifically, to achieve it, the combined average annual mitigating contribution from energy efficiency, carbon intensity of energy improvements and continued structural change in the US economy away from emissions-intensive activities will need to be at least 33% higher, and depending on the extent of continued structural change in the US economy in the future, may even need to be as much as 42% higher than was apparently the case during the 2000 – 12 period.

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  • Shahiduzzaman, Md & Layton, Allan, 2017. "Decomposition analysis for assessing the United States 2025 emissions target: How big is the challenge?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 372-383.
  • Handle: RePEc:eee:rensus:v:67:y:2017:i:c:p:372-383
    DOI: 10.1016/j.rser.2016.08.042
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    1. Sarica, Kemal & Tyner, Wallace E., 2013. "Alternative policy impacts on US GHG emissions and energy security: A hybrid modeling approach," Energy Economics, Elsevier, vol. 40(C), pages 40-50.
    2. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    3. Sue Wing, Ian & Eckaus, Richard S., 2007. "The implications of the historical decline in US energy intensity for long-run CO2 emission projections," Energy Policy, Elsevier, vol. 35(11), pages 5267-5286, November.
    4. Paul J. Burke & Md Shahiduzzaman & David I. Stern, 2015. "Carbon dioxide emissions in the short run: The rate and sources of economic growth matter," CAMA Working Papers 2015-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Shonali Pachauri, 2014. "Household electricity access a trivial contributor to CO2 emissions growth in India," Nature Climate Change, Nature, vol. 4(12), pages 1073-1076, December.
    6. Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 425-445, May.
    7. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    8. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    9. Shahiduzzaman, Md. & Alam, Khorshed, 2013. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach," Energy Policy, Elsevier, vol. 56(C), pages 341-351.
    10. O'Rear, Eric G. & Sarica, Kemal & Tyner, Wallace E., 2015. "Analysis of impacts of alternative policies aimed at increasing US energy independence and reducing GHG emissions," Transport Policy, Elsevier, vol. 37(C), pages 121-133.
    11. Shahiduzzaman, Md. & Layton, Allan, 2015. "Changes in CO2 emissions over business cycle recessions and expansions in the United States: A decomposition analysis," Applied Energy, Elsevier, vol. 150(C), pages 25-35.
    12. Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
    13. Dowlatabadi, Hadi & Oravetz, Matthew A., 2006. "US long-term energy intensity: Backcast and projection," Energy Policy, Elsevier, vol. 34(17), pages 3245-3256, November.
    14. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    15. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    16. Ross Morrow, W. & Gallagher, Kelly Sims & Collantes, Gustavo & Lee, Henry, 2010. "Analysis of policies to reduce oil consumption and greenhouse-gas emissions from the US transportation sector," Energy Policy, Elsevier, vol. 38(3), pages 1305-1320, March.
    17. Eugene A. Rosa & Thomas Dietz, 2012. "Human drivers of national greenhouse-gas emissions," Nature Climate Change, Nature, vol. 2(8), pages 581-586, August.
    18. Mendiluce, María & Pérez-Arriaga, Ignacio & Ocaña, Carlos, 2010. "Comparison of the evolution of energy intensity in Spain and in the EU15. Why is Spain different?," Energy Policy, Elsevier, vol. 38(1), pages 639-645, January.
    19. James G. Baldwin & Ian Sue Wing, 2013. "The Spatiotemporal Evolution Of U.S. Carbon Dioxide Emissions: Stylized Facts And Implications For Climate Policy," Journal of Regional Science, Wiley Blackwell, vol. 53(4), pages 672-689, October.
    20. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    21. Sue Wing, Ian, 2008. "Explaining the declining energy intensity of the U.S. economy," Resource and Energy Economics, Elsevier, vol. 30(1), pages 21-49, January.
    22. Feng, Kuishuang & Hubacek, Klaus & Guan, Dabo, 2009. "Lifestyles, technology and CO2 emissions in China: A regional comparative analysis," Ecological Economics, Elsevier, vol. 69(1), pages 145-154, November.
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