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Regional Variation in Carbon Emissions and its Driving Forces in China: An Index Decomposition Analysis

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  • Shu Yang

    (School of Management University of Science and Technology of China)

  • Dingtao Zhao

    (School of Management University of Science and Technology of China)

  • Yanrui Wu

    (University of Western Australia)

  • Jin Fan

    (School of Management University of Science and Technology of China)

Abstract

This paper aims to investigate the factors affecting carbon emissions from the perspective of residential energy consumption. Specifically, through an index decomposition analysis (IDA), it examines the influence of social and economic factors on household carbon emissions in China’s provinces. The results show that CO2 emissions associated with household consumption continued to grow during the decade of 2000-2010. In general, per capita consumption expenditure and the share of energy consumption expenditure in total consumption spending are two main factors contributing to an increase in residential carbon emissions, while the change of energy consumption structure and energy price mitigated the growth of carbon emissions. However, there are considerable regional differences. Therefore, Chinese government must consider the substantial contribution of residential consumption to carbon emissions when it aims to expand domestic consumption.

Suggested Citation

  • Shu Yang & Dingtao Zhao & Yanrui Wu & Jin Fan, 2013. "Regional Variation in Carbon Emissions and its Driving Forces in China: An Index Decomposition Analysis," Economics Discussion / Working Papers 13-34, The University of Western Australia, Department of Economics.
    • Handle: RePEc:uwa:wpaper:13-34
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    1. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    2. Linden, Anna-Lisa & Carlsson-Kanyama, Annika & Eriksson, Bjorn, 2006. "Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change?," Energy Policy, Elsevier, vol. 34(14), pages 1918-1927, September.
    3. Vringer, Kees & Blok, Kornelis, 1995. "The direct and indirect energy requirements of households in the Netherlands," Energy Policy, Elsevier, vol. 23(10), pages 893-910, October.
    4. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    5. 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.
    6. 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.
    7. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    8. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    9. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    10. Hasanbeigi, Ali & de la Rue du Can, Stephane & Sathaye, Jayant, 2012. "Analysis and decomposition of the energy intensity of California industries," Energy Policy, Elsevier, vol. 46(C), pages 234-245.
    11. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    12. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    13. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    14. Achão, Carla & Schaeffer, Roberto, 2009. "Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: Measuring the activity, intensity and structure effects," Energy Policy, Elsevier, vol. 37(12), pages 5208-5220, December.
    15. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    16. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    17. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    18. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    19. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    20. Wang, Zhao & Jin, Yuefu & Wang, Michael & Wei, Wu, 2010. "New fuel consumption standards for Chinese passenger vehicles and their effects on reductions of oil use and CO2 emissions of the Chinese passenger vehicle fleet," Energy Policy, Elsevier, vol. 38(9), pages 5242-5250, September.
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    Cited by:

    1. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    2. Bin Wang & Qiuxia Zheng & Ao Sun & Jie Bao & Dianting Wu, 2021. "Spatio-Temporal Patterns of CO 2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM," Mathematics, MDPI, vol. 9(21), pages 1-24, October.

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