IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7859-d1291641.html
   My bibliography  Save this article

Regional Heterogeneity Analysis of Residential Electricity Consumption in Chinese Cities: Based on Spatial Measurement Models

Author

Listed:
  • Zhenhua Sun

    (School of Economics and Management, Fuzhou University, Fuzhou 350108, China)

  • Lingjun Du

    (School of Marxism, Fuzhou University, Fuzhou 350108, China)

  • Houyin Long

    (School of Economics and Management, Fuzhou University, Fuzhou 350108, China)

Abstract

The share of electricity consumption by urban and rural residents in China’s overall electricity consumption is very close to that of the tertiary sector, which has become an important driver of China’s electricity consumption growth. At the same time, due to the mismatch between China’s regional resource endowments and the level of regional development, the regional supply and demand situation for electricity varies. Therefore, it is urgent to clarify the regional differences in residential electricity consumption and the factors affecting it, and accordingly adopt targeted and feasible measures to regulate residential electricity consumption. This article includes data from 285 Chinese prefecture-level cities from 2006 to 2019, and adopts a “three lines” method of region-partitioning (Qinling–Huaihe line, Huhuanyong line, and Shanhaiguan line) to divide four regions. We used spatial econometric models to examine residential electricity consumption and its influencing factors in China from the standpoint of regional heterogeneity. The results show that there is significant regional heterogeneity in residential electricity consumption in China, and the difference between the north of the Shanhaiguan line and other areas is significant. Moreover, there is a positive spatial correlation in the per capita domestic electricity consumption of urban residents, and each influencing factor has obvious regional heterogeneity, among which household appliances are the significant influencing factor. Based on the regional heterogeneity of residential electricity consumption, management measures should be formulated according to local conditions, and the supply of electricity should be ensured by strengthening multidimensional initiatives.

Suggested Citation

  • Zhenhua Sun & Lingjun Du & Houyin Long, 2023. "Regional Heterogeneity Analysis of Residential Electricity Consumption in Chinese Cities: Based on Spatial Measurement Models," Energies, MDPI, vol. 16(23), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7859-:d:1291641
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7859/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/23/7859/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaqing Sheng & Jinpeng Liu & Delin Wei & Xiaohua Song, 2021. "Heterogeneous Study of Multiple Disturbance Factors Outside Residential Electricity Consumption: A Case Study of Beijing," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    2. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
    3. Wang, Xia & Fang, Yuan & Cai, Weiguang & Ding, Chao & Xie, Yupei, 2022. "Heating demand with heterogeneity in residential households in the hot summer and cold winter climate zone in China -A quantile regression approach," Energy, Elsevier, vol. 247(C).
    4. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    5. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    6. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    7. Wang, Na & Fu, Xiaodong & Wang, Shaobin & Yang, Hao & Li, Zhen, 2022. "Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective," Energy, Elsevier, vol. 254(PB).
    Full references (including those not matched with items on IDEAS)

    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. Javier Bueno & Desiderio Romero-Jordán & Pablo del Río, 2020. "Analysing the Drivers of Electricity Demand in Spain after the Economic Crisis," Energies, MDPI, vol. 13(20), pages 1-18, October.
    2. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).
    3. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    4. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    5. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    6. Gao, Jingxin & Zhang, Jianing & Song, Jinbo & Cai, Weiguang & Ma, Liangdong, 2024. "Heart moves or action moves? The high temperature arousing the perception for climate warming facilitate to energy savings," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    7. Hosein Mohammadi & Sayed Saghaian & Bahareh Zandi Dareh Gharibi, 2023. "Renewable and Non-Renewable Energy Consumption and Its Impact on Economic Growth," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    8. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M., 2014. "Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 290-298.
    9. Abdeshahian, Peyman & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2016. "Potential of biogas production from farm animal waste in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 714-723.
    10. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    11. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
    12. Romero-Jordán, Desiderio & del Río, Pablo & Peñasco, Cristina, 2016. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Energy Policy, Elsevier, vol. 88(C), pages 361-370.
    13. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    14. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018. "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, vol. 113(C), pages 332-341.
    15. Tosapol Apaitan & Thiti Tosborvorn & Wichsinee Wibulpolprasert, 2020. "Bunching for Free Electricity," PIER Discussion Papers 136, Puey Ungphakorn Institute for Economic Research.
    16. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    17. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    18. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    19. Caiyue Ouyang & Xin Wang & Jiacai Xiong, 2019. "Do Controlling Shareholders Who Pledged Their Shares Affect Sustainable Development? An Investigation Based on the Perspective of Corporate Innovation," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    20. Fanny Henriet & Katheline Schubert, 2015. "Should we extract the European shale gas? The effect of climate and financial constraints," Post-Print halshs-01169310, HAL.

    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:gam:jeners:v:16:y:2023:i:23:p:7859-:d:1291641. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.