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Differentiated effects of diversified technological sources on China's electricity consumption: Evidence from the perspective of rebound effect

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  • Ai, Hongshan
  • Wu, Xiaofei
  • Li, Ke

Abstract

Technological progress is an effective way to improve electricity efficiency. Due to the existence of the rebound effect, it is of great significance to optimize the technical power saving policy by examining the rebound effect caused by different technological progress paths.Based on the panel data of electricity industry in 30 provinces of China from 1997 to 2013, this paper systematically examines the rebound effects of electricity consumption under the two sources of technological progress, namely independent innovation and technology import. Then, it discusses the impact of coal-electricity linkage policy. The empirical results are as follows: (1) without considering rebound effect, independent innovation significantly promotes electricity conservation, while the effects of technology import is not obvious; (2) when considering the rebound effect, electricity price declining driven by independent innovation is not conducive to electricity saving, while electricity price declining driven by technology import has an electricity-saving effect; (3)The coal-electricity linkage policy that began in 2004 not only reduced the rebound effect by increasing the flexibility of electricity prices to a certain extent and improved the electricity-saving effect of independent innovation, but also reduced the electricity-saving effect of technology import.

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  • Ai, Hongshan & Wu, Xiaofei & Li, Ke, 2020. "Differentiated effects of diversified technological sources on China's electricity consumption: Evidence from the perspective of rebound effect," Energy Policy, Elsevier, vol. 137(C).
  • Handle: RePEc:eee:enepol:v:137:y:2020:i:c:s0301421519306718
    DOI: 10.1016/j.enpol.2019.111084
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    as
    1. Fan, Ruguo & Luo, Ming & Zhang, Pengfei, 2016. "A study on evolution of energy intensity in China with heterogeneity and rebound effect," Energy, Elsevier, vol. 99(C), pages 159-169.
    2. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    3. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
    4. Brannlund, Runar & Ghalwash, Tarek & Nordstrom, Jonas, 2007. "Increased energy efficiency and the rebound effect: Effects on consumption and emissions," Energy Economics, Elsevier, vol. 29(1), pages 1-17, January.
    5. Yang, Lisha & Li, Jianglong, 2017. "Rebound effect in China: Evidence from the power generation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 53-62.
    6. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    7. Barker, Terry & Ekins, Paul & Foxon, Tim, 2007. "The macro-economic rebound effect and the UK economy," Energy Policy, Elsevier, vol. 35(10), pages 4935-4946, October.
    8. Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
    9. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    10. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    11. Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
    12. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    13. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
    14. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    15. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    16. Schipper, Lee & Grubb, Michael, 2000. "On the rebound? Feedback between energy intensities and energy uses in IEA countries," Energy Policy, Elsevier, vol. 28(6-7), pages 367-388, June.
    17. Saunders, Harry D., 2013. "Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1317-1330.
    18. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    19. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2013. "Turning lights into flights: Estimating direct and indirect rebound effects for UK households," Energy Policy, Elsevier, vol. 55(C), pages 234-250.
    20. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
    21. Ernst Ulrich Weizsäcker, 2014. "Overcoming the Mikado Situation," Global Policy, London School of Economics and Political Science, vol. 5, pages 21-23, October.
    22. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    23. Druckman, Angela & Chitnis, Mona & Sorrell, Steve & Jackson, Tim, 2011. "Missing carbon reductions? Exploring rebound and backfire effects in UK households," Energy Policy, Elsevier, vol. 39(6), pages 3572-3581, June.
    24. Gately, Dermot, 1993. "Oil demand in the US and Japan: why the demand reductions caused by the price increases of the 1970's won't be reversed by the price declines of the 1980's," Japan and the World Economy, Elsevier, vol. 5(4), pages 295-320, December.
    25. Antal, Miklós & van den Bergh, Jeroen C.J.M., 2014. "Re-spending rebound: A macro-level assessment for OECD countries and emerging economies," Energy Policy, Elsevier, vol. 68(C), pages 585-590.
    26. 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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