IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v257y2022ics0360544222016590.html
   My bibliography  Save this article

Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity

Author

Listed:
  • Liu, Xiaorui
  • Guo, Wen
  • Feng, Qiang
  • Wang, Peng

Abstract

In order to scientifically formulate electricity saving policies, it is necessary to study the industry heterogeneity and spatial correlation of electricity consumption. This paper used spatial autocorrelation test and dynamic spatial econometric model to identify the spatial correlation characteristics, main driving factors and spatial spillover effects of electricity consumption in different industries. The results are shown as follows. Firstly, except for agriculture, forestry, animal husbandry and fishery, electricity consumption of other industries has the spatial autocorrelation of economic distance, and electricity consumption of different industries has the significant time inertia effect, space contagion effect and space-time warning effect. Secondly, the total population, economic growth, urbanization, fixed asset investment and energy consumption structure can promote electricity consumption in this area. Thirdly, the total population, economic growth and urbanization of the region can restrain electricity consumption in the adjacent area. Finally, The driving factors and dynamic spatial spillover effects of electricity consumption are heterogeneous among different industries, and different factors have a more profound long-term impact on electricity consumption of different industries in China. Therefore, it is necessary to establish a regional coordination mechanism for electricity saving with industry differentiation and overall consideration, and formulate electricity saving policies for joint control.

Suggested Citation

  • Liu, Xiaorui & Guo, Wen & Feng, Qiang & Wang, Peng, 2022. "Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016590
    DOI: 10.1016/j.energy.2022.124756
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222016590
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124756?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. Li, Mengna & Pan, Xiongfeng & Yuan, Sai, 2022. "Do the national industrial relocation demonstration zones have higher regional energy efficiency?," Applied Energy, Elsevier, vol. 306(PA).
    2. Villanthenkodath, Muhammed Ashiq & Mahalik, Mantu Kumar, 2021. "Does economic growth respond to electricity consumption asymmetrically in Bangladesh? The implication for environmental sustainability," Energy, Elsevier, vol. 233(C).
    3. Meng, Ming & Li, Xinxin, 2022. "Evaluating the direct rebound effect of electricity consumption: An empirical analysis of the provincial level in China," Energy, Elsevier, vol. 239(PB).
    4. 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.
    5. Ryu, Jun-Yeol & Kim, Dae-Wook & Kim, Man-Keun, 2021. "Household differentiation and residential electricity demand in Korea," Energy Economics, Elsevier, vol. 95(C).
    6. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    7. Ghazouani, Tarek & Boukhatem, Jamel & Yan Sam, Chung, 2020. "Causal interactions between trade openness, renewable electricity consumption, and economic growth in Asia-Pacific countries: Fresh evidence from a bootstrap ARDL approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. Tiwari, Aviral Kumar & Eapen, Leena Mary & Nair, Sthanu R, 2021. "Electricity consumption and economic growth at the state and sectoral level in India: Evidence using heterogeneous panel data methods," Energy Economics, Elsevier, vol. 94(C).
    9. Delis, Manthos D. & Iosifidi, Maria & Mylonidis, Nikolaos, 2021. "Industry heterogeneity in the risk-taking channel," Economic Modelling, Elsevier, vol. 104(C).
    10. Li, Aitong & Xu, Yuan & Shiroyama, Hideaki, 2019. "Solar lobby and energy transition in Japan," Energy Policy, Elsevier, vol. 134(C).
    11. Yang, Yingchun & Liu, Jianghua & Lin, Yingying & Li, Qiongyuan, 2019. "The impact of urbanization on China’s residential energy consumption," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 170-182.
    12. Shi, Jian-hua & Han, Ying & Li, Xue-dong & Zhou, Jie-qi, 2022. "How does urbanization affect the direct rebound effect? Evidence from residential electricity consumption in China," Energy, Elsevier, vol. 239(PE).
    13. Casas, Camila, 2020. "Industry heterogeneity and exchange rate pass-through," Journal of International Money and Finance, Elsevier, vol. 106(C).
    14. Liu, Xiaorui & Sun, Tao & Feng, Qiang & Zhang, Di, 2020. "Dynamic nonlinear influence of urbanization on China’s electricity consumption: Evidence from dynamic economic growth threshold effect," Energy, Elsevier, vol. 196(C).
    15. Wu, Si & Hu, Shougeng & Frazier, Amy E., 2021. "Spatiotemporal variation and driving factors of carbon emissions in three industrial land spaces in China from 1997 to 2016," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    16. Xu, Guangyue & Yang, Hualiu & Schwarz, Peter, 2022. "A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model," Energy, Elsevier, vol. 241(C).
    17. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    18. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
    19. Yamoah, Fred A. & Sivarajah, Uthayasankar & Mahroof, Kamran & Peña, Iker González, 2022. "Demystifying corporate inertia towards transition to circular economy: A management frame of reference," International Journal of Production Economics, Elsevier, vol. 244(C).
    20. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
    21. He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
    22. Herrerias, M.J. & Aller, Carlos & Ordóñez, Javier, 2017. "Residential energy consumption: A convergence analysis across Chinese regions," Energy Economics, Elsevier, vol. 62(C), pages 371-381.
    23. Chen, Jiandong & Gao, Ming & Shahbaz, Muhammad & Cheng, Shulei & Song, Malin, 2021. "An improved decomposition approach toward energy rebound effects in China: Review since 1992," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    24. Khezri, Mohsen & Karimi, Mohammad Sharif & Khan, Y.A. & Abbas, S.Z., 2021. "The spillover of financial development on CO2 emission: A spatial econometric analysis of Asia-Pacific countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    25. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    26. Qin, Duo & Song, Haiyan, 2009. "Sources of investment inefficiency: The case of fixed-asset investment in China," Journal of Development Economics, Elsevier, vol. 90(1), pages 94-105, September.
    27. Tjørring, Lise & Jensen, Carsten Lynge & Hansen, Lars Gårn & Andersen, Laura Mørch, 2018. "Increasing the flexibility of electricity consumption in private households: Does gender matter?," Energy Policy, Elsevier, vol. 118(C), pages 9-18.
    28. Song, Ma-Lin & Cao, Shao-Peng & Wang, Shu-Hong, 2019. "The impact of knowledge trade on sustainable development and environment-biased technical progress," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 512-523.
    29. Wisnicki, Bartlomiej, 2022. "Consumer inertia fosters product quality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    30. Hecker, Lutz Philip & Wätzold, Frank & Markwardt, Gunther, 2020. "Spotlight on Spatial Spillovers: An Econometric Analysis of Wastewater Treatment in Mexican Municipalities," Ecological Economics, Elsevier, vol. 175(C).
    31. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).
    32. 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).
    33. Seckin, Aylin, 2001. "Consumption-leisure choice with habit formation," Economics Letters, Elsevier, vol. 70(1), pages 115-120, January.
    34. Dianat, Fateme & Khodakarami, Vahid & Hosseini, Seyed-Hossein & Shakouri G, Hamed, 2022. "Combining game theory concepts and system dynamics for evaluating renewable electricity development in fossil-fuel-rich countries in the Middle East and North Africa," Renewable Energy, Elsevier, vol. 190(C), pages 805-821.
    35. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
    36. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
    37. Islam, Md. Monirul & Irfan, Muhammad & Shahbaz, Muhammad & Vo, Xuan Vinh, 2022. "Renewable and non-renewable energy consumption in Bangladesh: The relative influencing profiles of economic factors, urbanization, physical infrastructure and institutional quality," Renewable Energy, Elsevier, vol. 184(C), pages 1130-1149.
    38. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    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. 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.
    2. Jiangsheng Deng & Rongguang Zhang & Qiwen Qiu, 2023. "Spatial Impact of Industrial Structure Upgrading and Corporate Social Responsibility on Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
    3. Ruixue Wang & Jiancheng Chen & Minhuan Li, 2022. "Coupling and Coordinating Relationship between Agricultural Eco-Efficiency and Food Security System in China," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    4. Guo, Wen & Yang, Bo & Ji, Jiong & Liu, Xiaorui, 2023. "Green finance development drives renewable energy development: Mechanism analysis and empirical research," Renewable Energy, Elsevier, vol. 215(C).
    5. 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.
    6. Cao, Xin & Liu, Chang & Wu, Mingxuan & Li, Zhi & Wang, Yihan & Wen, Zongguo, 2023. "Heterogeneity and connection in the spatial–temporal evolution trend of China’s energy consumption at provincial level," Applied Energy, Elsevier, vol. 336(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. Qiangyi Li & Lan Yang & Shuang Huang & Yangqing Liu & Chenyang Guo, 2023. "The Effects of Urban Sprawl on Electricity Consumption: Empirical Evidence from 283 Prefecture-Level Cities in China," Land, MDPI, vol. 12(8), pages 1-27, August.
    2. Xu, Guangyue & Yang, Hualiu & Schwarz, Peter, 2022. "A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model," Energy, Elsevier, vol. 241(C).
    3. Liu, Xiaorui & Sun, Tao & Feng, Qiang & Zhang, Di, 2020. "Dynamic nonlinear influence of urbanization on China’s electricity consumption: Evidence from dynamic economic growth threshold effect," Energy, Elsevier, vol. 196(C).
    4. Ruijun Duan & Peng Guo, 2021. "Electricity Consumption in China: The Effects of Financial Development and Trade Openness," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    5. Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    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).
    8. Shi, Zhengyu & Wu, Libo & Zhou, Yang, 2023. "Predicting household energy consumption in an aging society," Applied Energy, Elsevier, vol. 352(C).
    9. Shiwen Liu & Hongyuan Li, 2020. "Does Financial Development Increase Urban Electricity Consumption? Evidence from Spatial and Heterogeneity Analysis," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    10. Salem, Mohammed Z. & Ertz, Myriam & Sarigӧllü, Emine, 2021. "Demarketing strategies to rationalize electricity consumption in the Gaza Strip-Palestine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    11. Huang-Meier, Winifred & Freeman, Mark C. & Mazouz, Khelifa, 2015. "Why are aggregate equity payouts pro-cyclical?," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 98-108.
    12. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    13. Irfan, Muhammad & Razzaq, Asif & Sharif, Arshian & Yang, Xiaodong, 2022. "Influence mechanism between green finance and green innovation: Exploring regional policy intervention effects in China," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    14. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    15. Zeinab Zanjani & Pedro Macedo & Isabel Soares, 2021. "Investigating Carbon Emissions from Electricity Generation and GDP Nexus Using Maximum Entropy Bootstrap: Evidence from Oil-Producing Countries in the Middle East," Energies, MDPI, vol. 14(12), pages 1-22, June.
    16. Ruan, Fang-Li & Yan, Liang, 2022. "Interactions among electricity consumption, disposable income, wastewater discharge, and economic growth: Evidence from megacities in China from 1995 to 2018," Energy, Elsevier, vol. 260(C).
    17. Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    18. 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).
    19. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. Chen, Jinyu & Luo, Qian & Tu, Yan & Ren, Xiaohang & Naderi, Niki, 2023. "Renewable energy transition and metal consumption: Dynamic evolution analysis based on transnational data," Resources Policy, Elsevier, vol. 85(PB).

    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:energy:v:257:y:2022:i:c:s0360544222016590. 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.journals.elsevier.com/energy .

    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.