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The effects of electricity substitution in Fujian: based on microdata survey

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  • Peng Zheng

    (State Grid Fujian Electric Power Co., Ltd.)

  • Lingling Zhu

    (State Grid Fujian Electric Power Co., Ltd.)

  • Wei Lu

    (State Grid Fujian Electric Power Co., Ltd.)

  • Xin Yao

    (Xiamen University)

Abstract

Electricity substitution refers to replacing fossil fuels by electricity in the consumption side. To figure out the actual ways of energy usage, we conduct field survey to obtain energy consumption data in Fujian, as well as potentials for electricity substitution. Based on these data, this paper provides a theoretical analysis for electricity substitution policy. We use the input–output model to estimate the effects of electricity substitution in Fujian during the period of 2016–2020. The results show electricity substitution can significantly increase total output of the power sector and reduce oil demand. Moreover, the electricity substitution policy can also help to control greenhouse gases and pollutants effectively. Replacing fossil fuels with clean electricity will be conducive to sustainable economic development. These findings will shed some light on the future policy of electricity substitution and energy structure change.

Suggested Citation

  • Peng Zheng & Lingling Zhu & Wei Lu & Xin Yao, 2021. "The effects of electricity substitution in Fujian: based on microdata survey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9320-9335, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01026-z
    DOI: 10.1007/s10668-020-01026-z
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    References listed on IDEAS

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    1. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019. "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, vol. 80(C), pages 38-47.
    2. Niu, Dong-xiao & Song, Zong-yun & Xiao, Xin-li, 2017. "Electric power substitution for coal in China: Status quo and SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 610-622.
    3. Zhang, Yaru & Ma, Tieju & Guo, Fei, 2018. "A multi-regional energy transport and structure model for China’s electricity system," Energy, Elsevier, vol. 161(C), pages 907-919.
    4. Bellocchi, Sara & Klöckner, Kai & Manno, Michele & Noussan, Michel & Vellini, Michela, 2019. "On the role of electric vehicles towards low-carbon energy systems: Italy and Germany in comparison," Applied Energy, Elsevier, vol. 255(C).
    5. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    6. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    7. Fang, Yujuan & Chen, Laijun & Mei, Shengwei & Wei, Wei & Huang, Shaowei & Liu, Feng, 2019. "Coal or electricity? An evolutionary game approach to investigate fuel choices of urban heat supply systems," Energy, Elsevier, vol. 181(C), pages 107-122.
    8. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
    9. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    10. Liddle, Brantley & Sadorsky, Perry, 2017. "How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions?," Applied Energy, Elsevier, vol. 197(C), pages 212-221.
    11. de Groot, Mats & Crijns-Graus, Wina & Harmsen, Robert, 2017. "The effects of variable renewable electricity on energy efficiency and full load hours of fossil-fired power plants in the European Union," Energy, Elsevier, vol. 138(C), pages 575-589.
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