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Direct rebound effect on urban residential electricity use: An empirical study in China

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  • Wang, Zhaohua
  • Lu, Milin
  • Wang, Jian-Cai

Abstract

Though improving energy efficiency is an important approach to decrease the energy consumption, the rebound effect caused by technology progress negatively affects the effectiveness of energy efficiency policies. This paper empirically investigates direct rebound effect of urban residential electricity use in China. Using China's 30 provincial government panel data from1996 to 2010, we build a co-integration equation and a panel error correction model to analyze the direct rebound effect. The results indicate that an obvious rebound effect in the Chinese urban residential electricity consumption does exist. Specifically, the long-term rebound effect is 0.74, while the short-term rebound effect is 0.72. Therefore, the rebound effect significantly impairs functions of energy efficiency policies. For this reason, Chinese government should take the rebound effect into consideration when formulating energy policies.

Suggested Citation

  • Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:124-132
    DOI: 10.1016/j.rser.2013.09.002
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    as
    1. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Bilgili, Faik & Pamuk, Yalçın & Halıcı Tülüce, Nadide Sevil, 2010. "Short run and long run dynamics of residential electricity consumption: Homogeneous and heterogeneous panel estimations for OECD," MPRA Paper 33291, University Library of Munich, Germany, revised Jun 2011.
    4. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    5. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
    6. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    7. Saunders Harry D, 2005. "A Calculator for Energy Consumption Changes Arising from New Technologies," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-35, September.
    8. Sailor, David J, 2001. "Relating residential and commercial sector electricity loads to climate—evaluating state level sensitivities and vulnerabilities," Energy, Elsevier, vol. 26(7), pages 645-657.
    9. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
    10. Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
    11. Haas, Reinhard & Schipper, Lee, 1998. "Residential energy demand in OECD-countries and the role of irreversible efficiency improvements," Energy Economics, Elsevier, vol. 20(4), pages 421-442, September.
    12. Brandt, Loren & Holz, Carsten A, 2006. "Spatial Price Differences in China: Estimates and Implications," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 43-86, October.
    13. Brookes, L. G., 1978. "Energy policy, the energy price fallacy and the role of nuclear energy in the UK," Energy Policy, Elsevier, vol. 6(2), pages 94-106, June.
    14. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    15. Harty D. Saunders, 1992. "The Khazzoom-Brookes Postulate and Neoclassical Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 131-148.
    16. David L. Greene & James R. Kahn & Robert C. Gibson, 1999. "Fuel Economy Rebound Effect for U.S. Household Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-31.
    17. Bosseboeuf, Didier & Chateau, Bertrand & Lapillonne, Bruno, 1997. "Cross-country comparison on energy efficiency indicators: the on-going European effort towards a common methodology," Energy Policy, Elsevier, vol. 25(7-9), pages 673-682.
    18. Brandt, Loren & Holz, Carsten A, 2006. "Spatial Price Differences in China: Estimates and Implications," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 43-86, October.
    19. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    20. Jin, Sang-Hyeon, 2007. "The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea," Energy Policy, Elsevier, vol. 35(11), pages 5622-5629, November.
    21. Mizobuchi, Kenichi, 2008. "An empirical study on the rebound effect considering capital costs," Energy Economics, Elsevier, vol. 30(5), pages 2486-2516, September.
    22. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    23. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
    24. Saunders, Harry D., 2000. "Does predicted rebound depend on distinguishing between energy and energy services?," Energy Policy, Elsevier, vol. 28(6-7), pages 497-500, June.
    25. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    26. Dermot Gately, 1993. "The Imperfect Price-Reversibility of World Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 163-182.
    27. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    28. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
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