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Who suffers from energy poverty in household energy transition? Evidence from clean heating program in rural China

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  • Xie, Lunyu
  • Hu, Xian
  • Zhang, Xinyi
  • Zhang, Xiao-Bing

Abstract

It can be challenging to provide energy that is both clean and affordable. In northern rural China, a household clean heating program has been adopted, requiring households to transition from coal to electricity and natural gas. This program led to an unintended sharp increase in the burden of heating cost for enrolled households, even with large subsidies. To investigate this policy-induced increase in energy poverty, we conducted a large-scale household survey in northern China. We find that energy poverty, measured in multiple dimensions, is significantly increased by replacing coal with electricity and gas, while it is decreased by replacement with clean coal. Econometric analysis shows that the change in energy poverty is heterogeneous in several ways. It remains stable in Beijing, but increases by 70% in the much less developed neighboring province of Hebei. Households with lower income, less education, and smaller household size are more likely to experience energy poverty. Those with lower income and no insulation for their houses are negatively affected to a larger degree. These findings provide empirical evidence that a mandatory “one policy for all” is likely to hurt low-income households more. It calls the attention of policy makers to the distributional effect when designing energy transition policies for a clean and low-carbon economy.

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  • Xie, Lunyu & Hu, Xian & Zhang, Xinyi & Zhang, Xiao-Bing, 2022. "Who suffers from energy poverty in household energy transition? Evidence from clean heating program in rural China," Energy Economics, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:eneeco:v:106:y:2022:i:c:s0140988321006320
    DOI: 10.1016/j.eneco.2021.105795
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    References listed on IDEAS

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    Cited by:

    1. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    2. Jakučionytė-Skodienė, Miglė & Liobikienė, Genovaitė, 2023. "Changes in energy consumption and CO2 emissions in the Lithuanian household sector caused by environmental awareness and climate change policy," Energy Policy, Elsevier, vol. 180(C).
    3. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Economics and Finance, Massey University, New Zealand.
    4. Kocak, Emrah & Ulug, Eyup Emre & Oralhan, Burcu, 2023. "The impact of electricity from renewable and non-renewable sources on energy poverty and greenhouse gas emissions (GHGs): Empirical evidence and policy implications," Energy, Elsevier, vol. 272(C).
    5. Xie, Lunyu & Wei, Chu & Zheng, Xinye & Liu, Yang & Wu, Wanyi & Feng, Ziru, 2023. "Who benefits from household energy transition? A cost-benefit analysis based on household survey data in China," China Economic Review, Elsevier, vol. 77(C).
    6. White, Thomas & Bromwich, Talitha & Bang, Ashley & Bennun, Leon & Bull, Joseph W. & Clark, Michael & Milner-Gulland, E.J. & Prescott, Graham & Starkey, Malcolm & zu Ermgassen, Sophus Olav Sven Emil, 2023. "The Nature Positive Journey for Business: A research agenda to enable private sector contributions to the global biodiversity framework," OSF Preprints nya52, Center for Open Science.
    7. Hong, Xudong & Wu, Shengnan & Zhang, Xueliang, 2022. "Clean energy powers energy poverty alleviation: Evidence from Chinese micro-survey data," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2023. "Energy Poverty and Low Carbon Energy Transition," Energies, MDPI, vol. 16(2), pages 1-15, January.
    9. Siyou Xia & Yu Yang & Xiaoying Qian & Xin Xu, 2022. "Spatiotemporal Interaction and Socioeconomic Determinants of Rural Energy Poverty in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.

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    More about this item

    Keywords

    Clean heating; Distributional effect; Energy poverty; Household energy transition; Low-carbon economy;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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