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Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis

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  • Donglan, Zha
  • Dequn, Zhou
  • Peng, Zhou

Abstract

There exist many differences between urban and rural China among which residential CO2 emissions arising from energy consumption is a major one. In this paper, we estimate and compare the energy related CO2 emissions from urban and rural residential energy consumption from 1991 to 2004. The logarithmic mean Divisia index decomposition analysis is then applied to investigate the factors that may affect the changes of the CO2 emissions. It is found that energy intensity and the income effects, respectively, contributed most to the decline and the increase of residential CO2 emissions for both urban and rural China. In urban China, the population effect was found to contribute to the increase of residential CO2 emissions with a rising tendency. However, in rural China, the population effect for residential CO2 emissions kept decreasing since 1998.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3377-3383
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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. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    3. Sinton, Jonathan E., 2001. "Accuracy and reliability of China's energy statistics," China Economic Review, Elsevier, vol. 12(4), pages 373-383.
    4. Ghisi, Enedir & Gosch, Samuel & Lamberts, Roberto, 2007. "Electricity end-uses in the residential sector of Brazil," Energy Policy, Elsevier, vol. 35(8), pages 4107-4120, August.
    5. Mielnik, Otavio & Goldemberg, Jose, 1999. "Communication The evolution of the "carbonization index" in developing countries," Energy Policy, Elsevier, vol. 27(5), pages 307-308, May.
    6. 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.
    7. Sue J. Lin & Tzu C. Chang, 1996. "Decomposition of SO2, NO1 and CO2 Emissions from Energy Use of Major Economic Sectors in Taiwan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-17.
    8. Kok, Rixt & Benders, Rene M.J. & Moll, Henri C., 2006. "Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results," Energy Policy, Elsevier, vol. 34(17), pages 2744-2761, November.
    9. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    10. Hosier, R. H. & Kipondya, W., 1993. "Urban household energy use in Tanzania : Prices, substitutes and poverty," Energy Policy, Elsevier, vol. 21(5), pages 454-473, May.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Brenner, Mark & Riddle, Matthew & Boyce, James K., 2007. "A Chinese sky trust?: Distributional impacts of carbon charges and revenue recycling in China," Energy Policy, Elsevier, vol. 35(3), pages 1771-1784, March.
    16. Weber, Christoph & Perrels, Adriaan, 2000. "Modelling lifestyle effects on energy demand and related emissions," Energy Policy, Elsevier, vol. 28(8), pages 549-566, July.
    17. Leiwen Jiang & Brian C. O'Neill, 2004. "The energy transition in rural China," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 21(1/2), pages 2-26.
    18. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    19. Almeida, Mauro Araujo & Schaeffer, Roberto & La Rovere, Emilio Lèbre, 2001. "The potential for electricity conservation and peak load reduction in the residential sector of Brazil," Energy, Elsevier, vol. 26(4), pages 413-429.
    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. Davis, Mark, 1998. "Rural household energy consumption : The effects of access to electricity--evidence from South Africa," Energy Policy, Elsevier, vol. 26(3), pages 207-217, February.
    22. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
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