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The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA

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  • Xue-Ting Jiang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jie-Fang Dong

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Department of Economics and Management, Yuncheng University, Yuncheng 044000, China)

  • Xing-Min Wang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Rong-Rong Li

    (The Research Centre on the Development of Enterprises in Xinjiang, Xinjiang University of Finance & Economics, Urumqi 830011, China)

Abstract

The United States of America is not only an important energy consuming country, but also in the dominant position of energy for many years. As one of the two largest emitters, the US has always been trying to register a decline in energy-related CO 2 . In order to make a further analysis of the phenomenon, we choose a new decoupling analysis with the multilevel logarithmic mean Divisia index (LMDI) method. This study examined the contribution of factors influencing energy-related carbon emissions in the United States of America during 1990–2014, quantitatively analyzed decoupling indicators of economic development and environmental situations. As is indicated in the results, economy development and activities have a significant effect in increasing carbon emission, however, measures of energy optimization such as the improvement of energy efficiency has played a crucial role in inhibiting the carbon dioxide emission. Furthermore, as is indicated in decoupling relationship, “relative decoupling” and “no decoupling” are the main states during the examined period. In order to better investigate the long-run equilibrium relationship between total carbon dioxide emissions of each effect and the relationship between CO 2 emissions and economic growth, on the basis of a static decomposition analysis, we applied a dynamic analysis method-cointegration test. At last, recommendations and improvement measures aiming at the related issues were put forward.

Suggested Citation

  • Xue-Ting Jiang & Jie-Fang Dong & Xing-Min Wang & Rong-Rong Li, 2016. "The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:857-:d:77075
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    References listed on IDEAS

    as
    1. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    2. Jie-fang Dong & Qiang Wang & Chun Deng & Xing-min Wang & Xiao-lei Zhang, 2016. "How to Move China toward a Green-Energy Economy: From a Sector Perspective," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    3. Qiang Wang, 2013. "China has the capacity to lead in carbon trading," Nature, Nature, vol. 493(7432), pages 273-273, January.
    4. Ipek Tunç, G. & Türüt-AsIk, Serap & AkbostancI, Elif, 2009. "A decomposition analysis of CO2 emissions from energy use: Turkish case," Energy Policy, Elsevier, vol. 37(11), pages 4689-4699, November.
    5. Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
    6. Shahbaz, Muhammad & Khraief, Naceur & Jemaa, Mohamed Mekki Ben, 2015. "On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 89-100.
    7. Wang, Qunwei & Hang, Ye & Zhou, P. & Wang, Yizhong, 2016. "Decoupling and attribution analysis of industrial carbon emissions in Taiwan," Energy, Elsevier, vol. 113(C), pages 728-738.
    8. Jie-Fang Dong & Chun Deng & Xing-Min Wang & Xiao-Lei Zhang, 2016. "Multilevel Index Decomposition of Energy-Related Carbon Emissions and Their Decoupling from Economic Growth in Northwest China," Energies, MDPI, vol. 9(9), pages 1-17, August.
    9. Ozturk, Ilhan & Acaravci, Ali, 2010. "CO2 emissions, energy consumption and economic growth in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3220-3225, December.
    10. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    11. Diakoulaki, D. & Mandaraka, M., 2007. "Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector," Energy Economics, Elsevier, vol. 29(4), pages 636-664, July.
    12. Wang, Qiang & Li, Rongrong, 2015. "Cheaper oil: A turning point in Paris climate talk?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1186-1192.
    13. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    14. Wang, Qiang & Li, Rongrong, 2016. "Drivers for energy consumption: A comparative analysis of China and India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 954-962.
    15. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    16. Hasanbeigi, Ali & Price, Lynn & Fino-Chen, Cecilia & Lu, Hongyou & Ke, Jing, 2013. "Retrospective and prospective decomposition analysis of Chinese manufacturing energy use and policy implications," Energy Policy, Elsevier, vol. 63(C), pages 562-574.
    17. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    18. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    19. Wang, Qiang & Chen, Xi, 2012. "China's electricity market-oriented reform: From an absolute to a relative monopoly," Energy Policy, Elsevier, vol. 51(C), pages 143-148.
    20. Steckel, Jan Christoph & Jakob, Michael & Marschinski, Robert & Luderer, Gunnar, 2011. "From carbonization to decarbonization?--Past trends and future scenarios for China's CO2 emissions," Energy Policy, Elsevier, vol. 39(6), pages 3443-3455, June.
    21. Wang, Qiang & Li, Rongrong, 2016. "Natural gas from shale formation: A research profile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1-6.
    22. 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.
    23. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    24. Wang, Qiang & Li, Rongrong, 2016. "Impact of cheaper oil on economic system and climate change: A SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 925-931.
    25. Wang, Qiang & Chen, Yong, 2010. "Barriers and opportunities of using the clean development mechanism to advance renewable energy development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1989-1998, September.
    26. Qiang Wang, 2014. "China should aim for a total cap on emissions," Nature, Nature, vol. 512(7513), pages 115-115, August.
    27. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    28. Andreoni, V. & Galmarini, S., 2012. "Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption," Energy, Elsevier, vol. 44(1), pages 682-691.
    29. Wang, Qiang & Chen, Xi & Jha, Awadhesh N. & Rogers, Howard, 2014. "Natural gas from shale formation – The evolution, evidences and challenges of shale gas revolution in United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1-28.
    30. Komal, Rabia & Abbas, Faisal, 2015. "Linking financial development, economic growth and energy consumption in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 211-220.
    31. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    32. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    33. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    34. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    35. 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.
    36. Wang, Qiang & Chen, Xi, 2013. "Rethinking and reshaping the climate policy: Literature review and proposed guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 469-477.
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