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Fighting climate change together: The regional heterogenous impacts of climate change and potentials of regional power market

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  • Song, Feng
  • Miao, Xintong
  • Xia, Fang

Abstract

This study measures the impact of the climate change on China's electricity sector and how the heterogenous impact across a large geographic area could be employed to better adapt to climate change. A unique dataset of daily load in China's five southern provinces in 2018 is employed to estimate the temperature response functions and predict the future changes driven by climate change. The results show that although the rising temperature will normalize the higher level of electricity demand on average, it exerts a heterogeneous impact on the electricity demand of different provinces, thereby creating opportunities for trade and cooperation among these five provinces. By using a cost-minimization model, we find that reforming the electricity sector through economic dispatch and expanding the dispatch area can serve as a cost-effective “soft” approach to adapting to climate change.

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  • Song, Feng & Miao, Xintong & Xia, Fang, 2025. "Fighting climate change together: The regional heterogenous impacts of climate change and potentials of regional power market," Energy Economics, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324008247
    DOI: 10.1016/j.eneco.2024.108115
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    1. Catherine Wolfram & Orie Shelef & Paul Gertler, 2012. "How Will Energy Demand Develop in the Developing World?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 119-138, Winter.
    2. Maximilian Auffhammer & Catherine D. Wolfram, 2014. "Powering Up China: Income Distributions and Residential Electricity Consumption," American Economic Review, American Economic Association, vol. 104(5), pages 575-580, May.
    3. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Gui, Shusen & Duan, Ye & Jiang, Bo & Kong, Xue, 2020. "Optimal way to achieve renewable portfolio standard policy goals from the electricity generation, transmission, and trading perspectives in southern China," Energy Policy, Elsevier, vol. 139(C).
    4. Melissa R. Allen & Steven J. Fernandez & Joshua S. Fu & Mohammed M. Olama, 2016. "Impacts of climate change on sub-regional electricity demand and distribution in the southern United States," Nature Energy, Nature, vol. 1(8), pages 1-9, August.
    5. Maximilian Auffhammer & Anin Aroonruengsawat, 2012. "Erratum to: Simulating the impacts of climate change, prices and population on California’s residential electricity consumption," Climatic Change, Springer, vol. 113(3), pages 1101-1104, August.
    6. repec:cdl:agrebk:qt9nx1r0fx is not listed on IDEAS
    7. Jaglom, Wendy S. & McFarland, James R. & Colley, Michelle F. & Mack, Charlotte B. & Venkatesh, Boddu & Miller, Rawlings L. & Haydel, Juanita & Schultz, Peter A. & Perkins, Bill & Casola, Joseph H. & M, 2014. "Assessment of projected temperature impacts from climate change on the U.S. electric power sector using the Integrated Planning Model®," Energy Policy, Elsevier, vol. 73(C), pages 524-539.
    8. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    9. Zhang, Guoxing & Shen, Lin & Su, Bin, 2023. "Temperature change and daily urban-rural residential electricity consumption in northwestern China: Responsiveness and inequality," Energy Economics, Elsevier, vol. 126(C).
    10. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    11. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    12. Brinkerink, Maarten & Gallachóir, Brian Ó & Deane, Paul, 2019. "A comprehensive review on the benefits and challenges of global power grids and intercontinental interconnectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 274-287.
    13. Yating Li & William A. Pizer & Libo Wu, 2019. "Climate change and residential electricity consumption in the Yangtze River Delta, China," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 472-477, January.
    14. A. T. D. Perera & Vahid M. Nik & Deliang Chen & Jean-Louis Scartezzini & Tianzhen Hong, 2020. "Quantifying the impacts of climate change and extreme climate events on energy systems," Nature Energy, Nature, vol. 5(2), pages 150-159, February.
    15. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
    16. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
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