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Estimation of urban residential electricity demand in China using household survey data

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  • Zhou, Shaojie
  • Teng, Fei

Abstract

This paper uses annual urban household survey data of Sichuan Province from 2007 to 2009 to estimate the income and price elasticities of residential electricity demand, along with the effects of lifestyle-related variables. The empirical results show that in the urban area of Sichuan province, the residential electricity demand is price- and income-inelastic, with price and income elasticities ranging from −0.35 to −0.50 and from 0.14 to 0.33, respectively. Such lifestyle-related variables as demographic variables, dwelling size and holdings of home appliances, are also important determinants of residential electricity demand, especially the latter. These results are robust to a variety of sensitivity tests. The research findings imply that urban residential electricity demand continues to increase with the growth of income. The empirical results have important policy implications for the Multistep Electricity Price, which been adopted in some cities and is expected to be promoted nationwide through the installation of energy-efficient home appliances.

Suggested Citation

  • Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
    • Handle: RePEc:eee:enepol:v:61:y:2013:i:c:p:394-402
    DOI: 10.1016/j.enpol.2013.06.092
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    References listed on IDEAS

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    1. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    2. Dilaver, Zafer & Hunt, Lester C, 2011. "Modelling and forecasting Turkish residential electricity demand," Energy Policy, Elsevier, vol. 39(6), pages 3117-3127, June.
    3. Beenstock, Michael & Goldin, Ephraim & Nabot, Dan, 1999. "The demand for electricity in Israel," Energy Economics, Elsevier, vol. 21(2), pages 168-183, April.
    4. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    5. Yuan, Jiahai & Zhao, Changhong & Yu, Shunkun & Hu, Zhaoguang, 2007. "Electricity consumption and economic growth in China: Cointegration and co-feature analysis," Energy Economics, Elsevier, vol. 29(6), pages 1179-1191, November.
    6. Ziramba, Emmanuel, 2008. "The demand for residential electricity in South Africa," Energy Policy, Elsevier, vol. 36(9), pages 3460-3466, September.
    7. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    8. Murata, Akinobu & Kondou, Yasuhiko & Hailin, Mu & Weisheng, Zhou, 2008. "Electricity demand in the Chinese urban household-sector," Applied Energy, Elsevier, vol. 85(12), pages 1113-1125, December.
    9. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    10. Ang, B.W. & Goh, T.N. & Liu, X.Q., 1992. "Residential electricity demand in Singapore," Energy, Elsevier, vol. 17(1), pages 37-46.
    11. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    12. Berkhout, Peter H. G. & Ferrer-i-Carbonell, Ada & Muskens, Jos C., 2004. "The ex post impact of an energy tax on household energy demand," Energy Economics, Elsevier, vol. 26(3), pages 297-317, May.
    13. Yoo, Seung-Hoon & Lee, Joo Suk & Kwak, Seung-Jun, 2007. "Estimation of residential electricity demand function in Seoul by correction for sample selection bias," Energy Policy, Elsevier, vol. 35(11), pages 5702-5707, November.
    14. Dianshu, Feng & Sovacool, Benjamin K. & Minh Vu, Khuong, 2010. "The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province," Energy Policy, Elsevier, vol. 38(2), pages 1202-1209, February.
    15. Donatos, George S. & Mergos, George J., 1991. "Residential demand for electricity: The case of Greece," Energy Economics, Elsevier, vol. 13(1), pages 41-47, January.
    16. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    17. World Bank, 2013. "World Development Indicators 2013," World Bank Publications, The World Bank, number 13191, June.
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