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Decoupling and decomposition analysis of carbon emissions from economic output in Chinese Guangdong Province: A sector perspective

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  • Ming-Ming Zhao
  • Rongrong Li

Abstract

South China’s Guangdong Province, the Chinese largest provincial economy and the global 14th biggest economy, has been facing a huge challenge of achieving economic growth without emission growth. Developing new strategy for making economic growth compatible carbon reduction requires better understanding of the decoupling carbon emission from economic growth. In this paper, we conduct a comprehensive decoupling and decomposition analysis of carbon emission from economic output in Guangdong Province from a sector perspective. We firstly calculate carbon emission in six sectors based on the energy consumption of each sector and carbon coefficient of 13 types of fuels during 2000–2014, and then quantify the decoupling status between CO 2 emissions and economic growth in those six sectors by using the Tapio decoupling index, finally, investigate the influencing factors of emissions by using the decomposition techniques. The modeling results show that agricultural sector has strong decoupling, industrial, transport and others sectors are weak decoupling; construction and trade sectors are expansive negative decoupling. We also find that energy intensity and economic output are the major factors influencing carbon emission, also the effects of energy structure and emission factor among six sectors are studied. Some policy recommendations finally are put forward.

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  • Ming-Ming Zhao & Rongrong Li, 2018. "Decoupling and decomposition analysis of carbon emissions from economic output in Chinese Guangdong Province: A sector perspective," Energy & Environment, , vol. 29(4), pages 543-555, June.
    • Handle: RePEc:sae:engenv:v:29:y:2018:i:4:p:543-555
    DOI: 10.1177/0958305X17754253
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    as
    1. 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.
    2. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    3. Qiang Wang, 2014. "China should aim for a total cap on emissions," Nature, Nature, vol. 512(7513), pages 115-115, August.
    4. Climent, Francisco & Pardo, Angel, 2007. "Decoupling factors on the energy-output linkage: The Spanish case," Energy Policy, Elsevier, vol. 35(1), pages 522-528, January.
    5. Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
    6. 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.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposing the decoupling of CO2 emissions and economic growth in Brazil," Ecological Economics, Elsevier, vol. 70(8), pages 1459-1469, June.
    9. Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
    10. Richard F. Garbaccio & Mun S. Ho & Dale W. Jorgenson, 1999. "Why Has the Energy-Output Ratio Fallen in China?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 63-91.
    11. Enevoldsen, Martin K. & Ryelund, Anders V. & Andersen, Mikael Skou, 2007. "Decoupling of industrial energy consumption and CO2-emissions in energy-intensive industries in Scandinavia," Energy Economics, Elsevier, vol. 29(4), pages 665-692, July.
    12. 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.
    13. World Bank & Ecofys & Vivid Economics & Thomas Michael Kerr, "undated". "State and Trends of Carbon Pricing 2016," World Bank Publications - Reports 25160, The World Bank Group.
    14. Wang, Qiang & Jiang, Xue-ting & Li, Rongrong, 2017. "Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China," Energy, Elsevier, vol. 127(C), pages 78-88.
    15. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    16. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    17. Sjöström, Magnus & Östblom, Göran, 2010. "Decoupling waste generation from economic growth -- A CGE analysis of the Swedish case," Ecological Economics, Elsevier, vol. 69(7), pages 1545-1552, May.
    18. Tian, Yihui & Zhu, Qinghua & Geng, Yong, 2013. "An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry," Energy Policy, Elsevier, vol. 56(C), pages 352-361.
    19. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    20. Ou, Jiamin & Meng, Jing & Zheng, Junyu & Mi, Zhifu & Bian, Yahui & Yu, Xiang & Liu, Jingru & Guan, Dabo, 2017. "Demand-driven air pollutant emissions for a fast-developing region in China," Applied Energy, Elsevier, vol. 204(C), pages 131-142.
    21. 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.
    22. Sinton, Jonathan E. & Levine, Mark D., 1994. "Changing energy intensity in Chinese industry : The relatively importance of structural shift and intensity change," Energy Policy, Elsevier, vol. 22(3), pages 239-255, March.
    23. Garbaccio, Richard F. & Ho, Mun S. & Jorgenson, Dale W., 1999. "Controlling carbon emissions in China," Environment and Development Economics, Cambridge University Press, vol. 4(4), pages 493-518, October.
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