IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v217y2023ics0960148123010881.html

Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces

Author

Listed:
  • Wang, Huiping
  • Liu, Peiling

Abstract

Accurately understanding the relevance of renewable energy consumption (REC) among regions is an important basis for the scientific formulation of energy policies and an important entry point for achieving “carbon peaking and carbon neutrality goals”. Based on the REC data of the 31 provinces in China from 2001 to 2020, the present work uses the social network analysis method to investigate the spatial correlation network of REC and its influencing factors. The REC of the 31 provinces in China has an obvious spatial correlation network structure. From 2001 to 2020, the network density of this spatial correlation network gradually increased, and the network structure was relatively stable. Henan, Hebei and Anhui are in the center of the network, and they play the role of bridges. Within this network, seven northeastern provinces, including Heilongjiang, Jilin and Liaoning, display characteristics of bidirectional spillover blocks and act as “guides”. However, seven western provinces, including Gansu, Qinghai and Tibet, display characteristics of a “net spillover block” and spill over to other blocks. Spatial adjacency and regional differences in industrial structure are conducive to the formation of a spatial correlation network, but regional differences in vehicle ownership and government intervention are not.

Suggested Citation

  • Wang, Huiping & Liu, Peiling, 2023. "Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces," Renewable Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:renene:v:217:y:2023:i:c:s0960148123010881
    DOI: 10.1016/j.renene.2023.119173
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123010881
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119173?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Lee, Chien-Chiang & Ranjbar, Omid & Lee, Chi-Chuan, 2021. "Testing the persistence of shocks on renewable energy consumption: Evidence from a quantile unit-root test with smooth breaks," Energy, Elsevier, vol. 215(PB).
    2. 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.
    3. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    4. Wang, Yi & Wang, Huiping, 2023. "Spatial spillover effect of urban sprawl on total factor energy ecological efficiency: Evidence from 272 cities in China," Energy, Elsevier, vol. 273(C).
    5. Borozan, Dj, 2022. "Asymmetric effects of policy uncertainty on renewable energy consumption in G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 412-420.
    6. Somoye, Oluwatoyin Abidemi & Ozdeser, Huseyin & Seraj, Mehdi, 2022. "Modeling the determinants of renewable energy consumption in Nigeria: Evidence from Autoregressive Distributed Lagged in error correction approach," Renewable Energy, Elsevier, vol. 190(C), pages 606-616.
    7. Castellanos-Sosa, Francisco A. & Cabral, René & Mollick, André Varella, 2022. "Energy reform and energy consumption convergence in Mexico: A spatial approach," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 336-350.
    8. Huang, Junbing & Xiang, Shiqi & Wu, Panling & Chen, Xiang, 2022. "How to control China's energy consumption through technological progress: A spatial heterogeneous investigation," Energy, Elsevier, vol. 238(PC).
    9. Raggad, Bechir, 2021. "Time varying causal relationship between renewable energy consumption, oil prices and economic activity: New evidence from the United States," Resources Policy, Elsevier, vol. 74(C).
    10. Feng Wang & Mengnan Gao & Juan Liu & Wenna Fan, 2018. "The Spatial Network Structure of China’s Regional Carbon Emissions and Its Network Effect," Energies, MDPI, vol. 11(10), pages 1-14, October.
    11. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    12. Mukhtarov, Shahriyar & Mikayilov, Jeyhun I. & Maharramov, Shahin & Aliyev, Javid & Suleymanov, Elchin, 2022. "Higher oil prices, are they good or bad for renewable energy consumption: The case of Iran?," Renewable Energy, Elsevier, vol. 186(C), pages 411-419.
    13. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    14. Deng, Xu & Lv, Tao & Xu, Jie & Hou, Xiaoran & Liu, Feng, 2022. "Assessing the integration effect of inter-regional transmission on variable power generation under renewable energy consumption policy in China," Energy Policy, Elsevier, vol. 170(C).
    15. Mukhtarov, Shahriyar & Yüksel, Serhat & Dinçer, Hasan, 2022. "The impact of financial development on renewable energy consumption: Evidence from Turkey," Renewable Energy, Elsevier, vol. 187(C), pages 169-176.
    16. Khezri, Mohsen & Heshmati, Almas & Khodaei, Mehdi, 2021. "The role of R&D in the effectiveness of renewable energy determinants: A spatial econometric analysis," Energy Economics, Elsevier, vol. 99(C).
    17. Jeetoo, Jamiil, 2022. "Spatial interaction effect in renewable energy consumption in sub-Saharan Africa," Renewable Energy, Elsevier, vol. 190(C), pages 148-155.
    18. Yu, Bolin & Fang, Debin & Yu, Hongwei & Zhao, Chaoyang, 2021. "Temporal-spatial determinants of renewable energy penetration in electricity production: Evidence from EU countries," Renewable Energy, Elsevier, vol. 180(C), pages 438-451.
    19. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).
    20. Li, Fengyun & Li, Xingmei, 2022. "An empirical analysis on regional natural gas market of China from a spatial pattern and social network perspective," Energy, Elsevier, vol. 244(PA).
    21. Shahbaz, Muhammad & Sinha, Avik & Raghutla, Chandrashekar & Vo, Xuan Vinh, 2022. "Decomposing scale and technique effects of financial development and foreign direct investment on renewable energy consumption," Energy, Elsevier, vol. 238(PB).
    22. Su, Min & Wang, Qiang & Li, Rongrong & Wang, Lili, 2022. "Per capita renewable energy consumption in 116 countries: The effects of urbanization, industrialization, GDP, aging, and trade openness," Energy, Elsevier, vol. 254(PB).
    23. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    24. Chica-Olmo, Jorge & Sari-Hassoun, Salaheddine & Moya-Fernández, Pablo, 2020. "Spatial relationship between economic growth and renewable energy consumption in 26 European countries," Energy Economics, Elsevier, vol. 92(C).
    25. Lv, Zhike & Liu, Wangxin & Xu, Ting, 2022. "Evaluating the impact of information and communication technology on renewable energy consumption: A spatial econometric approach," Renewable Energy, Elsevier, vol. 189(C), pages 1-12.
    26. 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).
    27. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
    28. Leng, Zhihui & Sun, Han & Cheng, Jinhua & Wang, Hai & Yao, Zhen, 2021. "China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents," Resources Policy, Elsevier, vol. 73(C).
    29. Dimnwobi, Stephen Kelechi & Madichie, Chekwube V. & Ekesiobi, Chukwunonso & Asongu, Simplice A., 2022. "Financial development and renewable energy consumption in Nigeria," Renewable Energy, Elsevier, vol. 192(C), pages 668-677.
    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. Zhang, Xiaoyi & Zhang, Rui & Feng, Cuiyang & Wang, Yue & Zhao, Meilin & Zhao, Xin, 2024. "Decomposition analysis of renewable energy demand and coupling effect between renewable energy and energy demand: Evidence from China," Renewable Energy, Elsevier, vol. 237(PC).
    2. Xing, Peixue & Wang, Yanan & Ye, Tao & Sun, Ying & Li, Qiao & Li, Xiaoyan & Li, Meng & Chen, Wei, 2024. "Carbon emission efficiency of 284 cities in China based on machine learning approach: Driving factors and regional heterogeneity," Energy Economics, Elsevier, vol. 129(C).
    3. Peixing Zhang & Tianlu Jin & Min Zhang & Aijun Zhu, 2025. "Spatial correlation networks characteristics and influence mechanisms of the resilience of Beijing–Tianjin–Hebei urban agglomeration: a complex network perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    4. Feng, Xuesong & Tao, Zhibin & Shi, Ruolin, 2024. "The Spatiotemporal exploration of intercity transport energy efficiency in the mainland of China on the basis of improved stochastic frontier modelling," Renewable Energy, Elsevier, vol. 224(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. 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.
    2. Clement Olalekan Olaniyi & Mamdouh Abdulaziz Saleh Al‐Faryan & Eyitayo Oyewunmi Ogbaro, 2025. "Do institutional quality and its threshold matter in the sensitivity of the renewable energy transition to financial development? New empirical perspectives," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 5-43, January.
    3. Dilber Doğan & Yakup Söylemez & Şenol Doğan & Neslihan Akça, 2025. "The Impact of Financial Development on Renewable Energy Consumption: Evidence from RECAI Countries," Sustainability, MDPI, vol. 17(14), pages 1-18, July.
    4. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Li, Na & Liu, Feng, 2022. "Spatiotemporal characteristics and influencing factors of renewable energy production in China: A spatial econometric analysis," Energy Economics, Elsevier, vol. 116(C).
    5. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
    6. Clement Olalekan Olaniyi & Nicholas Mbaya Odhiambo, 2025. "Do natural resource rents aid renewable energy transition in resource‐rich African countries? The roles of institutional quality and its threshold," Natural Resources Forum, Blackwell Publishing, vol. 49(2), pages 1330-1375, May.
    7. Nan, Shijing & Huo, Yuchen & Lee, Chien-Chiang, 2023. "Assessing the role of globalization on renewable energy consumption: New evidence from a spatial econometric analysis," Renewable Energy, Elsevier, vol. 215(C).
    8. Ly, Alpha, 2025. "Scaling up renewables without phasing down fossil fuels? Rethinking the role of financial globalization," Energy Policy, Elsevier, vol. 204(C).
    9. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    10. Shang, Yunfeng & Han, Ding & Gozgor, Giray & Mahalik, Mantu Kumar & Sahoo, Bimal Kishore, 2022. "The impact of climate policy uncertainty on renewable and non-renewable energy demand in the United States," Renewable Energy, Elsevier, vol. 197(C), pages 654-667.
    11. Chu, Lan Khanh & Ghosh, Sudeshna & Doğan, Buhari & Nguyen, Nam Hoai & Shahbaz, Muhammad, 2023. "Energy security as new determinant of renewable energy: The role of economic complexity in top energy users," Energy, Elsevier, vol. 263(PC).
    12. Oluwatoyin Abidemi Somoye & Mehdi Seraj & Huseyin Ozdeser & Muhammad Mar’I, 2023. "Quantile relationship between financial development, income, price, CO2 emissions and renewable energy consumption: evidence from Nigeria," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-25, December.
    13. Mukhtarov, Shahriyar & Mikayilov, Jeyhun I., 2023. "Could financial development eliminate energy poverty through renewable energy in Poland?," Energy Policy, Elsevier, vol. 182(C).
    14. Mukhtarov, Shahriyar, 2024. "Oil prices and the renewable energy transition: Empirical evidence from China," Utilities Policy, Elsevier, vol. 91(C).
    15. Ran Yi & An Chen, 2026. "Blessing or curse energy sustainability: how does climate change affect renewable energy consumption in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(3), pages 7349-7376, March.
    16. Kwadwo Boateng Prempeh & Christian Kyeremeh & Samuel Asuamah Yeboah & Felix Kwabena Danso, 2024. "Asymmetric impact of financial development on renewable energy consumption in Ghana," SN Business & Economics, Springer, vol. 4(9), pages 1-23, September.
    17. Sari-Hassoun, Salaheddine & Ayad, Hicham & Chibi, Abderrahim & Chekouri, Sidi Mohamed, 2025. "Assessing the spatial interactions between development sustainability, renewable energy, and economic growth in selected European nations," Renewable Energy, Elsevier, vol. 250(C).
    18. Debnath, Pabitra & Dinda, Soumyananda, 2026. "Driving factors of renewable energy consumption growth: Dynamic panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PE).
    19. Esmaeili, Parisa & Rafei, Meysam & Salari, Mahmoud & Balsalobre-Lorente, Daniel, 2024. "From oil surges to renewable shifts: Unveiling the dynamic impact of supply and demand shocks in global crude oil market on U.S. clean energy trends," Energy Policy, Elsevier, vol. 192(C).
    20. Syed, Qasim Raza & Apergis, Nicholas & Goh, Soo Khoon, 2023. "The dynamic relationship between climate policy uncertainty and renewable energy in the US: Applying the novel Fourier augmented autoregressive distributed lags approach," Energy, Elsevier, vol. 275(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:renene:v:217:y:2023:i:c:s0960148123010881. 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/renewable-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.