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Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale

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  • Ma, Shaoyue
  • Xu, Xiangbo
  • Li, Chang
  • Zhang, Linxiu
  • Sun, Mingxing

Abstract

How to achieve no poverty and reduce inequalities are among the core mission of the United Nations sustainable development goals. These goals also play an important role in China's poverty alleviation. In this paper, energy consumption is used as a proxy to measure living standards. Based on the data of 1010 Chinese households in 100 villages, energy consumption status and corresponding inequality at the village level were analyzed. The results showed that the per capita energy consumption of rural areas in China in 2018 was 862.94 kg coal equivalent, among which the main types were biomass and electricity. The regression analysis shows that the latitude and altitude, the distance to county center of the villages, average age, education level, and financial assets of the villagers are the main factors affecting the energy consumption of the villages. With the increase of per capita energy consumption, the Gini coefficient and Theil index both showed a downward trend, meaning energy poverty alleviation and inequality reduction are simultaneously achieved in rural development. The results of this study identify the key factors needed to increase energy consumption and energy efficiency at the village level and provide valuable reference for China's rural energy transformation.

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  • Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:enepol:v:159:y:2021:i:c:s0301421521005036
    DOI: 10.1016/j.enpol.2021.112638
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    as
    1. Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," LERNA Working Papers 09.08.284, LERNA, University of Toulouse.
    2. Hao, Yu & Wang, Ling'ou & Zhu, Lingyun & Ye, Minjie, 2018. "The dynamic relationship between energy consumption, investment and economic growth in China's rural area: New evidence based on provincial panel data," Energy, Elsevier, vol. 154(C), pages 374-382.
    3. Mensah, Justice Tei & Adu, George, 2015. "An empirical analysis of household energy choice in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1402-1411.
    4. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    5. Das, T & Parikh, A, 1982. "Decomposition of Inequality Measures and a Comparative Analysis," Empirical Economics, Springer, vol. 7(1-2), pages 23-48.
    6. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(3), pages 231-239, March.
    7. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    8. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    9. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    10. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    11. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    12. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    13. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    14. Misbah Aslam & Eatzaz Ahmad, 2018. "Impact of Ageing and Generational Effects on Household Energy Consumption Behavior: Evidence from Pakistan," Energies, MDPI, vol. 11(8), pages 1-20, August.
    15. Chao Feng & Bin Lu & Zhiqiang Xu, 2016. "A weighted Gini coefficient and Theil index-based approach for estimating the spatial disparity in energy efficiency in China," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 4-17.
    16. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Publisher Correction: Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(4), pages 349-349, April.
    17. Jiang, Lu & Yu, Lu & Xue, Bing & Chen, Xingpeng & Mi, Zhifu, 2020. "Who is energy poor? Evidence from the least developed regions in China," Energy Policy, Elsevier, vol. 137(C).
    18. Shimei Wu & Xinye Zheng & Chu Wei, 2017. "Measurement of inequality using household energy consumption data in rural China," Nature Energy, Nature, vol. 2(10), pages 795-803, October.
    19. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    20. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    21. Zou, Baoling & Luo, Biliang, 2019. "Rural household energy consumption characteristics and determinants in China," Energy, Elsevier, vol. 182(C), pages 814-823.
    22. Shi, Xunpeng & Wang, Keying & Cheong, Tsun Se & Zhang, Hongwu, 2020. "Prioritizing driving factors of household carbon emissions: An application of the LASSO model with survey data," Energy Economics, Elsevier, vol. 92(C).
    23. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
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