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Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China

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  • Wang, Na
  • Fu, Xiaodong
  • Wang, Shaobin

Abstract

The residential energy consumption in China shows diversity and complexity in space. This paper aims to investigate the spatial pattern and evolution trends of four kinds of residential energy consumption (electricity, coal, oil, and natural gas) through gravity center modeling and standard deviational ellipse modeling. Further, their relations to economic growth are probed by using the coupling and coordination degree model. Panel data at the provincial level in China are collected from 2000 to 2019. Our results show that the most drastic movement trend of gravity centers is coal, natural gas, followed by oil, whereas electricity moved slightly in space. Further, the standard deviational ellipse of electricity exhibits relatively stable patterns than the other three residential energy consumption during the study period. In addition, the coupling coordination degree between residential energy consumption and the economic growth is examined, and the results indicate that the total residential electricity consumption shows the highest coupling coordination degree, followed by residential gas, oil, and coal. It demonstrates lower coupling coordination degrees in rural areas than in urban areas in the total and sectoral residential energy consumption. In sum, several policy implications can be demonstrated based on our findings, i.e., the development of electricity consumption in the residential energy structure may improve the energy stability in space in China, and ensuring access to electricity should be taken into further consideration in the development of residential energy improvement to achieve a better coordination level to economic development.

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  • Wang, Na & Fu, Xiaodong & Wang, Shaobin, 2022. "Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 309(C).
  • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921017190
    DOI: 10.1016/j.apenergy.2021.118504
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    as
    1. Herrerias, M.J. & Joyeux, R. & Girardin, E., 2013. "Short- and long-run causality between energy consumption and economic growth: Evidence across regions in China," Applied Energy, Elsevier, vol. 112(C), pages 1483-1492.
    2. Xie, Lunyu & Yan, Haosheng & Zhang, Shuhan & Wei, Chu, 2020. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012," China Economic Review, Elsevier, vol. 59(C).
    3. Liu, Yaqin & Zhao, Guohao & Zhao, Yushan, 2016. "An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure," Energy Policy, Elsevier, vol. 96(C), pages 524-533.
    4. Shi, Xiaohui & Chu, Junhui & Zhao, Changyi, 2021. "Exploring the spatiotemporal evolution of energy intensity in China by visual technology of the GIS," Energy, Elsevier, vol. 228(C).
    5. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    6. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
    7. Guangdong Li & Chuanglin Fang, 2014. "Analyzing the multi-mechanism of regional inequality in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 155-182, January.
    8. Nadimi, Reza & Tokimatsu, Koji, 2018. "Energy use analysis in the presence of quality of life, poverty, health, and carbon dioxide emissions," Energy, Elsevier, vol. 153(C), pages 671-684.
    9. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    10. Gozgor, Giray & Lau, Chi Keung Marco & Lu, Zhou, 2018. "Energy consumption and economic growth: New evidence from the OECD countries," Energy, Elsevier, vol. 153(C), pages 27-34.
    11. Xin Yan & Min Chen & Mu-Yen Chen, 2019. "Coupling and Coordination Development of Australian Energy, Economy, and Ecological Environment Systems from 2007 to 2016," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    12. Rahman, Mohammad Mafizur, 2021. "The dynamic nexus of energy consumption, international trade and economic growth in BRICS and ASEAN countries: A panel causality test," Energy, Elsevier, vol. 229(C).
    13. Shi, Yong & Ren, Xinyue & Guo, Kun & Zhou, Yi & Wang, Jun, 2020. "Research on the economic development pattern of Chinese counties based on electricity consumption," Energy Policy, Elsevier, vol. 147(C).
    14. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    15. Salari, Mahmoud & Javid, Roxana J. & Noghanibehambari, Hamid, 2021. "The nexus between CO2 emissions, energy consumption, and economic growth in the U.S," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 182-194.
    16. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    17. Zhang, Yan & Zhang, Jinyun & Yang, Zhifeng & Li, Juan, 2012. "Analysis of the distribution and evolution of energy supply and demand centers of gravity in China," Energy Policy, Elsevier, vol. 49(C), pages 695-706.
    18. Shuo Wang & Junnian Song & Xian’En Wang & Wei Yang, 2019. "The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    19. Chalvatzis, Konstantinos J. & Rubel, Keagan, 2015. "Electricity portfolio innovation for energy security: The case of carbon constrained China," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 267-276.
    20. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    21. Wang, Qiang & Lin, Jian & Zhou, Kan & Fan, Jie & Kwan, Mei-Po, 2020. "Does urbanization lead to less residential energy consumption? A comparative study of 136 countries," Energy, Elsevier, vol. 202(C).
    22. Wang, Shaobin & Liu, Haimeng & Pu, Haixia & Yang, Hao, 2020. "Spatial disparity and hierarchical cluster analysis of final energy consumption in China," Energy, Elsevier, vol. 197(C).
    23. Zhang, Chuanguo & Xu, Jiao, 2012. "Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data," Energy Economics, Elsevier, vol. 34(6), pages 1782-1789.
    24. Wang, Shaobin & Liu, Yonglin & Zhao, Chao & Pu, Haixia, 2019. "Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective," Energy, Elsevier, vol. 177(C), pages 347-357.
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