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Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)

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  • Shao, Shuai
  • Guo, Longfei
  • Yu, Mingliang
  • Yang, Lili
  • Guan, Dabo

Abstract

The energy rebound effect is regarded as an obstacle of achieving the expected target of energy-saving policies, especially under a rapid urbanization background in developing counties, such as China. This has become a substantial drag of sustainable development in some cities. Shanghai is the economic center of China, and it is also a typical energy import-dependent mega-city. Investigating the evolution of Shanghai’s energy-saving performance and the energy rebound effect is significant for the implementation of energy-saving policies in other similar cities of China and other developing countries. Using the state space model with time-varying parameters and based on the IPAT identity and the Solow residual approach, this paper is the first study to present a specific estimation on Shanghai’s energy rebound effect caused by technological progress. The results show that, during the period of 1991–2016, the average energy rebound effect of overall economy and secondary industry in Shanghai was 93.96% and 73.10%, respectively, indicating a high partial rebound effect. Most of expected energy saving caused by improved energy efficiency is offset by extra energy consumption caused by technological progress. Regarding tertiary industry, the average rebound effect was 146.61%, indicating a backfire effect. However, the average energy rebound amount of tertiary industry is less than that of secondary industry. In particular, there is an increasingly negative impact of the rebound effect of tertiary industry on energy conservation in recent years, with the sector’s rapid expansion and corresponding increase in energy demand. Furthermore, we estimate the carbon rebound amount (i.e., carbon emissions caused by the energy rebound effect) and find that, on average, the energy rebound effect caused 13.1% and 0.41% increases in carbon emissions in Shanghai and China, respectively. Therefore, mitigating the energy rebound effect can significantly reduce carbon emissions. Due to the substantial impact of the rebound effect, technological progress and energy efficiency improvement should not be the only way to achieve energy-saving target, especially in energy import-dependent mega-cities like Shanghai. Some supporting policies should be implemented to ensure that the expected outcome of energy-saving effort can be realized as far as possible.

Suggested Citation

  • Shao, Shuai & Guo, Longfei & Yu, Mingliang & Yang, Lili & Guan, Dabo, 2019. "Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)," Applied Energy, Elsevier, vol. 241(C), pages 212-228.
    • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:212-228
    DOI: 10.1016/j.apenergy.2019.03.007
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    as
    1. Brookes, Len, 1990. "The greenhouse effect: the fallacies in the energy efficiency solution," Energy Policy, Elsevier, vol. 18(2), pages 199-201, March.
    2. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    3. Galvin, Ray, 2016. "Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation," Applied Energy, Elsevier, vol. 172(C), pages 207-216.
    4. Jiang, Zhujun & Shao, Shuai, 2014. "Distributional effects of a carbon tax on Chinese households: A case of Shanghai," Energy Policy, Elsevier, vol. 73(C), pages 269-277.
    5. Kenneth Gillingham & Matthew J. Kotchen & David S. Rapson & Gernot Wagner, 2013. "The rebound effect is overplayed," Nature, Nature, vol. 493(7433), pages 475-476, January.
    6. Shao, Shuai & Huang, Tao & Yang, Lili, 2014. "Using latent variable approach to estimate China׳s economy-wide energy rebound effect over 1954–2010," Energy Policy, Elsevier, vol. 72(C), pages 235-248.
    7. Francesch-Huidobro, Maria, 2016. "Climate change and energy policies in Shanghai: A multilevel governance perspective," Applied Energy, Elsevier, vol. 164(C), pages 45-56.
    8. Wei, Taoyuan, 2010. "A general equilibrium view of global rebound effects," Energy Economics, Elsevier, vol. 32(3), pages 661-672, May.
    9. Amjadi, Golnaz & Lundgren, Tommy & Persson, Lars, 2018. "The Rebound Effect in Swedish Heavy Industry," Energy Economics, Elsevier, vol. 71(C), pages 140-148.
    10. Liu, Jingru & Sun, Xin & Lu, Bin & Zhang, Yunkun & Sun, Rui, 2016. "The life cycle rebound effect of air-conditioner consumption in China," Applied Energy, Elsevier, vol. 184(C), pages 1026-1032.
    11. Duarte, Rosa & Feng, Kuishuang & Hubacek, Klaus & Sánchez-Chóliz, Julio & Sarasa, Cristina & Sun, Laixiang, 2016. "Modeling the carbon consequences of pro-environmental consumer behavior," Applied Energy, Elsevier, vol. 184(C), pages 1207-1216.
    12. 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.
    13. Li, Jianglong & Lin, Boqiang, 2017. "Rebound effect by incorporating endogenous energy efficiency: A comparison between heavy industry and light industry," Applied Energy, Elsevier, vol. 200(C), pages 347-357.
    14. Lin, Boqiang & Du, Zhili, 2015. "How China׳s urbanization impacts transport energy consumption in the face of income disparity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1693-1701.
    15. Saunders, Harry D., 2008. "Fuel conserving (and using) production functions," Energy Economics, Elsevier, vol. 30(5), pages 2184-2235, September.
    16. Paul E. Brockway & Harry Saunders & Matthew K. Heun & Timothy J. Foxon & Julia K. Steinberger & John R. Barrett & Steve Sorrell, 2017. "Energy Rebound as a Potential Threat to a Low-Carbon Future: Findings from a New Exergy-Based National-Level Rebound Approach," Energies, MDPI, vol. 10(1), pages 1-24, January.
    17. Lin, Boqiang & Chen, Yufang & Zhang, Guoliang, 2017. "Technological progress and rebound effect in China's nonferrous metals industry: An empirical study," Energy Policy, Elsevier, vol. 109(C), pages 520-529.
    18. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    19. 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.
    20. Sun, Bixuan, 2018. "Heterogeneous direct rebound effect: Theory and evidence from the Energy Star program," Energy Economics, Elsevier, vol. 69(C), pages 335-349.
    21. 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.
    22. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    23. L.G. Brookes, 1990. "Energy Efficiency and The Greenhouse Effect," Energy & Environment, , vol. 1(4), pages 318-333, December.
    24. Smeets, Edward & Tabeau, Andrzej & van Berkum, Siemen & Moorad, Jamil & van Meijl, Hans & Woltjer, Geert, 2014. "The impact of the rebound effect of the use of first generation biofuels in the EU on greenhouse gas emissions: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 393-403.
    25. Hart, Rob, 2018. "Rebound, directed technological change, and aggregate demand for energy," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 218-234.
    26. Li, Chengyu & Shao, Shuai & Yang, Lili & Yu, Mingliang, 2016. "Comparability of estimating energy rebound effect should be based on uniform mechanism and benchmark: A reply to Du and Lin," Energy Policy, Elsevier, vol. 91(C), pages 60-63.
    27. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    28. 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.
    29. 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.
    30. 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.
    31. Santarius, Tilman & Soland, Martin, 2018. "How Technological Efficiency Improvements Change Consumer Preferences: Towards a Psychological Theory of Rebound Effects," Ecological Economics, Elsevier, vol. 146(C), pages 414-424.
    32. Belaïd, Fateh & Bakaloglou, Salomé & Roubaud, David, 2018. "Direct rebound effect of residential gas demand: Empirical evidence from France," Energy Policy, Elsevier, vol. 115(C), pages 23-31.
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