IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v27y2025i3d10.1007_s10668-023-04165-1.html
   My bibliography  Save this article

Analysis of dynamic renewable energy generation efficiency and its influencing factors considering cooperation and competition between decision-making units: a case study of China

Author

Listed:
  • Fugui Dong

    (North China Electric Power University
    North China Electric Power University)

  • Yugui Yang

    (North China Electric Power University)

  • Wanying Li

    (North China Electric Power University)

Abstract

In recent years, under the influence of multiple factors such as the reverse distribution of renewable energy sources-loads, the imbalance of electricity supply and demand, and inter-provincial and inter-regional trading of electricity, the competition and cooperation among provinces have become more and more complicated. Scientific assessment of renewable energy generation efficiency and revelation of its impact mechanism support improving efficiency and differentiating the development of provincial renewable energy. Firstly, a global reference DEA cross-efficiency is built to overcome the shortcomings of static models that cannot compare the efficiency of decision-making units across periods. On this basis, the DEA cross-efficiency model is upgraded by considering the inter-provincial cooperative and competitive relationship. Provincial panel data from 2016 to 2020 are used as sample data to assess the dynamics of hydro, wind, and solar power generation efficiency in China in conjunction with the GML index. Next, the system generalized method of moments is used to investigate the mechanisms influencing renewable energy generation efficiency. The main results are as follows. Slow efficiency improvements and regional imbalances characterize the three renewable energy generation industries. There was little change in hydropower generation efficiency, while wind and solar power generation efficiencies showed a general trend of increasing and then decreasing efficiency. Natural conditions are an important influence in the renewable energy generation industry. There is a positive relationship between inter-provincial electricity transmission and electricity consumption on the efficiency of all three renewable energy generation sources. The positive relationship between grid conditions and hydropower generation efficiency and the positive relationship between power supply investment and solar power generation efficiency is significant.

Suggested Citation

  • Fugui Dong & Yugui Yang & Wanying Li, 2025. "Analysis of dynamic renewable energy generation efficiency and its influencing factors considering cooperation and competition between decision-making units: a case study of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 6757-6779, March.
  • Handle: RePEc:spr:endesu:v:27:y:2025:i:3:d:10.1007_s10668-023-04165-1
    DOI: 10.1007/s10668-023-04165-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-04165-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-023-04165-1?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. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    2. Jinpeng Liu & Yun Long & Xiaohua Song, 2017. "A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China," Energies, MDPI, vol. 10(5), pages 1-22, May.
    3. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2019. "Factors affecting the efficiency of wind power in the European Union countries," Energy Policy, Elsevier, vol. 132(C), pages 965-977.
    4. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Pang, Rui-Zhi & Zhang, ZhongXiang, 2018. "The environmental efficiency analysis of China’s power generation sector based on game cross-efficiency approach," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 126-135.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    7. Barros, Carlos Pestana & Wanke, Peter, 2017. "Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions," Energy, Elsevier, vol. 130(C), pages 129-143.
    8. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    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. Li, Wanying & Ji, Zhengsen & Dong, Fugui & Yang, Yugui, 2024. "Evaluation of provincial renewable energy generation efficiency and spatio-temporal heterogeneity of influencing factors in China," Renewable Energy, Elsevier, vol. 226(C).
    2. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
    3. Wang, Jiexin & Wang, Song, 2023. "The effect of electricity market reform on energy efficiency in China," Energy Policy, Elsevier, vol. 181(C).
    4. Zhang, Zumeng & Ding, Liping & Wang, Chaofan & Dai, Qiyao & Shi, Yin & Zhao, Yujia & Zhu, Yuxuan, 2022. "Do operation and maintenance contracts help photovoltaic poverty alleviation power stations perform better?," Energy, Elsevier, vol. 259(C).
    5. Liu, Haiyue & Zhang, Ruchuan & Zhou, Li & Li, Aijun, 2023. "Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models," Energy, Elsevier, vol. 269(C).
    6. Wei, Wei & Han, Ying & Abedin, Mohammad Zoynul & Ma, Jingjing & Chai, Shanglei, 2023. "Empirical study on the technical efficiency and total factor productivity of power industry: Evidence from Chinese provinces," Energy Economics, Elsevier, vol. 128(C).
    7. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    8. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    9. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
    10. Abdollah Hadi-Vencheh & Peter Wanke & Ali Jamshidi, 2020. "What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola," Energies, MDPI, vol. 13(9), pages 1-25, May.
    11. Zhu, Qingyuan & Xu, Shuqi & Sun, Jiasen & Li, Xingchen & Zhou, Dequn, 2022. "Energy efficiency evaluation of power supply system: A data-driven approach based on shared resources," Applied Energy, Elsevier, vol. 312(C).
    12. Ren, Fang-rong & Tian, Ze & Liu, Jingjing & Shen, Yu-ting, 2020. "Analysis of CO2 emission reduction contribution and efficiency of China’s solar photovoltaic industry: Based on Input-output perspective," Energy, Elsevier, vol. 199(C).
    13. Liu, Hongwei & Zhang, Aodi & Wu, Jie, 2023. "Can industrial transfer improve urban innovation efficiency?," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    14. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    15. Pavala Malar Kannan & Govindan Marthandan & Rathimala Kannan, 2021. "Modelling Efficiency of Electric Utilities Using Three Stage Virtual Frontier Data Envelopment Analysis with Variable Selection by Loads Method," Energies, MDPI, vol. 14(12), pages 1-21, June.
    16. Daniel Feliciano & Laura López-Torres & Daniel Santín, 2021. "One Laptop per Child? Using Production Frontiers for Evaluating the Escuela 2.0 Program in Spain," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
    17. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    18. Ewa Chodakowska & Joanicjusz Nazarko & Łukasz Nazarko, 2025. "Efficiency of Renewable Energy Potential Utilization in European Union: Towards Responsible Net-Zero Policy," Energies, MDPI, vol. 18(5), pages 1-30, February.
    19. José Manuel Maside‐Sanfiz & Óscar Suárez Fernández & María‐Celia López‐Penabad & Mohammad Omar Alzghoul, 2024. "Does corporate social performance improve environmentally adjusted efficiency? Evidence from the energy sector," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 1510-1530, May.
    20. Bahram Fathi & Malihe Ashena & Majid Anisi, 2023. "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1832-1851, February.

    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:spr:endesu:v:27:y:2025:i:3:d:10.1007_s10668-023-04165-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.