IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v309y2022ics0306261921017190.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921017190
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118504?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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).
    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. 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.
    11. 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).
    12. 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.
    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. 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.
    15. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    16. 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).
    17. 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).
    18. 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).
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao, Yilong & Ma, Teng & Fang, Yan Ru & Huang, Chen & Dai, Hancheng, 2024. "Disparity and driving forces of energy consumption in China's provincial urban residential sector under the carbon neutrality target," Energy, Elsevier, vol. 301(C).
    2. Limei Ma & Qianying Wang & Dan Shi & Qinglong Shao, 2023. "Spatiotemporal patterns and determinants of renewable energy innovation: Evidence from a province-level analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    3. Mingyan Ni & Yindi Zhao & Caihong Ma & Xiaolin Hou & Yanmei Xie, 2023. "Exploring Relationships between Spatial Pattern Change in Steel Plants and Land Cover Change in Tangshan City," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    4. Yangyang Li & Xiao Feng & Yang Gao & Zhenbin Zhao, 2024. "Perceived tourism implicit conflict among community residents and its spatial variation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Ma, Xiaowei & Li, Chuandong & Kang, Qi & Chen, Danni & Sun, Qingyu, 2024. "Rural household nonagricultural income and energy transition: Evidence from central China," Energy Policy, Elsevier, vol. 188(C).
    6. Teng Ma & Silu Zhang & Yilong Xiao & Xiaorui Liu & Minghao Wang & Kai Wu & Guofeng Shen & Chen Huang & Yan Ru Fang & Yang Xie, 2023. "Costs and health benefits of the rural energy transition to carbon neutrality in China," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    7. Weiping Zhang & Peiji Shi & Wanzhuang Huang, 2022. "Research on Spatial and Temporal Pattern Evolution and Driving Factors of County Carbon Emissions in Underdeveloped Regions: Gansu Province of Western China as an Example," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    8. Gong, Yuanyuan & Sun, Hui & Wang, Zhiwei & Ding, Chenxin, 2023. "Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model," Energy, Elsevier, vol. 285(C).
    9. Ke Jiang & Ran Xing & Zhihan Luo & Yaojie Li & Jinghang Wang & Wenxiao Zhang & Yaqi Zhu & Yatai Men & Guofeng Shen & Shu Tao, 2024. "Unclean but affordable solid fuels effectively sustained household energy equity," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    10. Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
    11. Huiping Wang & Peiling Liu, 2023. "Spatial Correlation Network of Energy Consumption and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    12. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    13. Ning Xu & Wanxu Chen & Sipei Pan & Jiale Liang & Jiaojiao Bian, 2022. "Evolution Characteristics and Formation Mechanism of Production-Living-Ecological Space in China: Perspective of Main Function Zones," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    14. Du, Mengbing & Ruan, Jianhui & Zhang, Li & Niu, Muchuan & Zhang, Zhe & Xia, Lang & Qian, Shuangyue & Chen, Chuchu, 2024. "China's local-level monthly residential electricity power consumption monitoring," Applied Energy, Elsevier, vol. 359(C).
    15. Abdulkadir Abdulrashid Rafindadi & Isah Buhari Aliyu & Ojonugwa Usman, 2022. "Revisiting the electricity consumption-led growth hypothesis: is the rule defied in France?," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-23, December.
    16. Li, Jiapeng & Zuo, Xuguang & Sun, Chuanwang, 2023. "The effect of urban renewal on residential energy consumption expenditure--the example of shantytown renovation," Energy Policy, Elsevier, vol. 183(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiao, Yilong & Ma, Teng & Fang, Yan Ru & Huang, Chen & Dai, Hancheng, 2024. "Disparity and driving forces of energy consumption in China's provincial urban residential sector under the carbon neutrality target," Energy, Elsevier, vol. 301(C).
    2. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    3. Fang, Zheng & Chen, Yang, 2017. "Human capital, energy, and economic development – Evidence from Chinese provincial data," RIEI Working Papers 2017-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    4. Rahman, Mohammad Mafizur & Sultana, Nahid, 2022. "Impacts of institutional quality, economic growth, and exports on renewable energy: Emerging countries perspective," Renewable Energy, Elsevier, vol. 189(C), pages 938-951.
    5. Wang, Shaobin & Zhao, Chao & Liu, Hanbin & Tian, Xinglei, 2021. "Exploring the spatial spillover effects of low-grade coal consumption and influencing factors in China," Resources Policy, Elsevier, vol. 70(C).
    6. Park, Jongmun & Yun, Sun-Jin, 2022. "Social determinants of residential electricity consumption in Korea: Findings from a spatial panel model," Energy, Elsevier, vol. 239(PE).
    7. Li, Jiapeng & Zuo, Xuguang & Sun, Chuanwang, 2023. "The effect of urban renewal on residential energy consumption expenditure--the example of shantytown renovation," Energy Policy, Elsevier, vol. 183(C).
    8. Florian Marcel Nuţă & Alina Cristina Nuţă & Cristina Gabriela Zamfir & Stefan-Mihai Petrea & Dan Munteanu & Dragos Sebastian Cristea, 2021. "National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO 2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data," Energies, MDPI, vol. 14(10), pages 1-23, May.
    9. Wang, Zhibao & Zhao, Nana & Wei, Wendong & Zhang, Qianwen, 2021. "A differentiated energy Kuznets curve: Evidence from mainland China," Energy, Elsevier, vol. 214(C).
    10. Roula Inglesi-Lotz & Luis Diez del Corral Morales, 2017. "The Effect of Education on a Country’s Energy Consumption: Evidence from Developed and Developing Countries," Working Papers 201733, University of Pretoria, Department of Economics.
    11. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    12. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    13. Wu, Dong & Geng, Yong & Pan, Hengyu, 2021. "Whether natural gas consumption bring double dividends of economic growth and carbon dioxide emissions reduction in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    14. Zhou, Hui & Bukenya, James O., 2016. "Information inefficiency and willingness-to-pay for energy-efficient technology: A stated preference approach for China Energy Label," Energy Policy, Elsevier, vol. 91(C), pages 12-21.
    15. Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    16. Cheng, Yuk-Shing & Li, Raymond & Woo, Chi-Keung, 2021. "Regional energy-growth nexus and energy conservation policy in China," Energy, Elsevier, vol. 217(C).
    17. Weibin Lin & Bin Chen & Shichao Luo & Li Liang, 2014. "Factor Analysis of Residential Energy Consumption at the Provincial Level in China," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
    18. Haiqing Hu & Chun-Ping Chang & Minyi Dong & Wei-Na Meng & Yu Hao, 2018. "Does environmental information disclosure affect the performance of energy-intensive firms’ borrowing ability? Evidence from China," Energy & Environment, , vol. 29(5), pages 685-705, August.
    19. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    20. Shrestha, Anil & Mustafa, Andy Ali & Htike, Myo Myo & You, Vithyea & Kakinaka, Makoto, 2022. "Evolution of energy mix in emerging countries: Modern renewable energy, traditional renewable energy, and non-renewable energy," Renewable Energy, Elsevier, vol. 199(C), pages 419-432.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921017190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.