IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v288y2024ics0360544223031523.html
   My bibliography  Save this article

Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model

Author

Listed:
  • Ning, Jiajun
  • Xiong, Lixin

Abstract

Based on the cooperative-evolutionary game model, this paper studies the dynamic evolution process of the digital transformation strategy selection of renewable energy power plants and renewable energy selling enterprises under government supervision. Renewable energy power plants, renewable energy selling enterprises, and the government are taken as the game players. The Shapley value based on the cooperation game distributes the cooperation benefits brought about by the digital transformation of enterprises and analyses the dynamic evolution process of the strategy of the three-party game players based on evolutionary game theory. Then, based on the system dynamics model, Anylogic and Vensim software are used to simulate the cooperative evolutionary game model, and a sensitivity analysis of the key factors affecting the system stability is carried out. The results show that the "digital transformation" of renewable-energy power plants and renewable-energy selling enterprises will bring about cooperation benefits and promote their joint promotion of digital transformation. Government incentives can accelerate the digital transformation of renewable energy companies. The increase in economic, environmental, and social benefits brought about by the digital transformation of renewable energy enterprises promotes the speed of the digital transformation of renewable energy power plants and renewable energy selling enterprises.

Suggested Citation

  • Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
  • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031523
    DOI: 10.1016/j.energy.2023.129758
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223031523
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129758?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. Yu, Wei & Patros, Panos & Young, Brent & Klinac, Elsa & Walmsley, Timothy Gordon, 2022. "Energy digital twin technology for industrial energy management: Classification, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    2. Zou, Chen & Huang, Yongchun & Hu, Shiliang & Huang, Zhan, 2023. "Government participation in low-carbon technology transfer: An evolutionary game study," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    4. Hao, Xinyu & Liu, Guangfu & Zhang, Xiaoling & Dong, Liang, 2022. "The coevolution mechanism of stakeholder strategies in the recycled resources industry innovation ecosystem: the view of evolutionary game theory," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    5. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    6. Joanna Henzel & Łukasz Wróbel & Marcin Fice & Marek Sikora, 2022. "Energy Consumption Forecasting for the Digital-Twin Model of the Building," Energies, MDPI, vol. 15(12), pages 1-21, June.
    7. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    8. Anissa Nurdiawati & Frauke Urban, 2021. "Towards Deep Decarbonisation of Energy-Intensive Industries: A Review of Current Status, Technologies and Policies," Energies, MDPI, vol. 14(9), pages 1-33, April.
    9. Löffler, Konstantin & Burandt, Thorsten & Hainsch, Karlo & Oei, Pao-Yu & Seehaus, Frederik & Wejda, Felix, 2022. "Chances and barriers for Germany's low carbon transition - Quantifying uncertainties in key influential factors," Energy, Elsevier, vol. 239(PA).
    10. Wei, Xinyang & Tong, Qing & Magill, Iain & Vithayasrichareon, Peerapat & Betz, Regina, 2020. "Evaluation of potential co-benefits of air pollution control and climate mitigation policies for China's electricity sector," Energy Economics, Elsevier, vol. 92(C).
    11. Fadly, Dalia & Fontes, Francisco, 2019. "Geographical proximity and renewable energy diffusion: An empirical approach," Energy Policy, Elsevier, vol. 129(C), pages 422-435.
    12. A-Ru-Han Bao & Yao Liu & Jun Dong & Zheng-Peng Chen & Zhen-Jie Chen & Chen Wu, 2022. "Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention," Energies, MDPI, vol. 15(6), pages 1-24, March.
    13. Fang, Debin & Zhao, Chaoyang & Yu, Qian, 2018. "Government regulation of renewable energy generation and transmission in China’s electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 775-793.
    14. Khan, Yasir & Oubaih, Hana & Elgourrami, Fatima Zahra, 2022. "The effect of renewable energy sources on carbon dioxide emissions: Evaluating the role of governance, and ICT in Morocco," Renewable Energy, Elsevier, vol. 190(C), pages 752-763.
    15. Dong, Jun & Jiang, Yuzheng & Liu, Dongran & Dou, Xihao & Liu, Yao & Peng, Shicheng, 2022. "Promoting dynamic pricing implementation considering policy incentives and electricity retailers’ behaviors: An evolutionary game model based on prospect theory," Energy Policy, Elsevier, vol. 167(C).
    16. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).
    17. Duch-Brown, Néstor & Rossetti, Fiammetta, 2020. "Digital platforms across the European regional energy markets," Energy Policy, Elsevier, vol. 144(C).
    18. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    19. Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
    20. Cezary Orłowski & Piotr Cofta & Aleksander Orlowski, 2022. "The Rule-Based Model of Negentropy for Increasing the Energy Efficiency of the City’s Digital Transformation Processes into a Smart City," Energies, MDPI, vol. 15(4), pages 1-19, February.
    21. Wang, Ping & Han, Wei & Kumail Abbas Rizvi, Syed & Naqvi, Bushra, 2022. "Is Digital Adoption the way forward to Curb Energy Poverty?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    22. Zhou, Xiaoxiao & Jia, Mengyu & Wang, Lu & Sharma, Gagan Deep & Zhao, Xin & Ma, Xiaowei, 2022. "Modelling and simulation of a four-group evolutionary game model for green innovation stakeholders: Contextual evidence in lens of sustainable development," Renewable Energy, Elsevier, vol. 197(C), pages 500-517.
    23. Zhang, Minhui & Zhang, Qin & Zhou, Dequn & Wang, Lei, 2021. "Punishment or reward? Strategies of stakeholders in the quality of photovoltaic plants based on evolutionary game analysis in China," Energy, Elsevier, vol. 220(C).
    24. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
    25. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
    26. Dall-Orsoletta, Alaize & Romero, Fernando & Ferreira, Paula, 2022. "Open and collaborative innovation for the energy transition: An exploratory study," Technology in Society, Elsevier, vol. 69(C).
    27. You, Minglei & Wang, Qian & Sun, Hongjian & Castro, Iván & Jiang, Jing, 2022. "Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties," Applied Energy, Elsevier, vol. 305(C).
    28. Fang, Yujuan & Wei, Wei & Mei, Shengwei, 2022. "How dynamic renewable portfolio standards impact the diffusion of renewable energy in China? A networked evolutionary game analysis," Renewable Energy, Elsevier, vol. 193(C), pages 778-788.
    29. Spinti, Jennifer P. & Smith, Philip J. & Smith, Sean T., 2022. "Atikokan Digital Twin: Machine learning in a biomass energy system," Applied Energy, Elsevier, vol. 310(C).
    30. Wu, Yilin & Huang, Shilei, 2022. "The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises," Energy Economics, Elsevier, vol. 112(C).
    31. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
    32. Wang, Qingxi & Hu, An & Tian, Zhihua, 2022. "Digital transformation and electricity consumption: Evidence from the Broadband China pilot policy," Energy Economics, Elsevier, vol. 115(C).
    33. Danish, & Ulucak, Recep, 2022. "Analyzing energy innovation-emissions nexus in China: A novel dynamic simulation method," Energy, Elsevier, vol. 244(PB).
    34. Luona Song & Yiqing Luo & Zixi Chang & Chunhua Jin & Merveille Nicolas, 2022. "Blockchain Adoption in Agricultural Supply Chain for Better Sustainability: A Game Theory Perspective," Sustainability, MDPI, vol. 14(3), pages 1-21, January.
    35. Minli Yu & Fu-Sheng Tsai & Hui Jin & Hejie Zhang, 2022. "Digital finance and renewable energy consumption: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    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. Zhao, Dan & Wang, Jian & Li, Ye-kai & Tang, Jin-huan & Zhang, Shui-wang, 2024. "How to promote the transition of fuel vehicle enterprises under dual credit policy? An improved tripartite evolutionary game analysis with time delay," Energy, Elsevier, vol. 293(C).
    2. Guo, Wenqiang & Liang, Yunze & Lei, Ming & Cai, Dongliang & Wu, Xinwei, 2024. "A stochastic catastrophe model of construction site safety hazards supervision and its resilience," Energy, Elsevier, vol. 300(C).
    3. Jia, Shanghui & Chen, Xinhui & Jin, Jiayu, 2024. "Digital disruption and energy efficiency: The impact of regional digitalization on China's industrial sector," Energy, Elsevier, vol. 300(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. Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
    2. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Altmann, Jörn, 2023. "An evolutionary game-theoretic approach for investigating the long-term behavior of the industry sector for purchasing renewable and non-renewable energy: A case study of Iran," Energy, Elsevier, vol. 285(C).
    3. Bâra, Adela & Oprea, Simona-Vasilica, 2024. "Enabling coordination in energy communities: A Digital Twin model," Energy Policy, Elsevier, vol. 184(C).
    4. Heymann, Fabian & Milojevic, Tatjana & Covatariu, Andrei & Verma, Piyush, 2023. "Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options," Energy, Elsevier, vol. 262(PB).
    5. Wang, Xinru & Long, Ruyin & Chen, Hong & Wang, Yujie & Shi, Yanmin & Yang, Shuhan & Wu, Meifen, 2024. "How to promote the trading in China's green electricity market? Based on environmental perceptions, renewable portfolio standard and subsidies," Renewable Energy, Elsevier, vol. 222(C).
    6. Wang, Shanyong & Wang, Jing & Wang, Wenfu, 2023. "Do geopolitical risks facilitate the global energy transition? Evidence from 39 countries in the world," Resources Policy, Elsevier, vol. 85(PB).
    7. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    8. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    9. Krzysztof Bartczak & Stanisław Łobejko, 2022. "The Implementation Environment for a Digital Technology Platform of Renewable Energy Sources," Energies, MDPI, vol. 15(16), pages 1-16, August.
    10. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Jiao, Jianling & Song, Jiangfeng & Ding, Tao, 2024. "The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries," Energy, Elsevier, vol. 295(C).
    12. Razzaq, Asif & Yang, Xiaodong, 2023. "Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Cezar-Petre Simion & Cătălin-Alexandru Verdeș & Alexandra-Andreea Mironescu & Florin-Gabriel Anghel, 2023. "Digitalization in Energy Production, Distribution, and Consumption: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    14. Wang, Delu & Li, Chunxiao & Mao, Jinqi & Yang, Qing, 2023. "What affects the implementation of the renewable portfolio standard? An analysis of the four-party evolutionary game," Renewable Energy, Elsevier, vol. 204(C), pages 250-261.
    15. Geng Tian, 2022. "Influence of Digital Finance on Household Leverage Ratio from the Perspective of Consumption Effect and Income Effect," Sustainability, MDPI, vol. 14(23), pages 1-11, December.
    16. Zhang, Zhongqingyang & Mao, Ruixiang & Zhou, Zhongbao & Zeng, Zhijian, 2023. "How does digital finance affect green innovation? City-level evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    17. Namita Kumari & Ankush Sharma & Binh Tran & Naveen Chilamkurti & Damminda Alahakoon, 2023. "A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced," Energies, MDPI, vol. 16(14), pages 1-19, July.
    18. Li, Xiaozhu & Chen, Laijun & Sun, Fan & Hao, Yibo & Du, Xili & Mei, Shenwei, 2023. "Share or not share, the analysis of energy storage interaction of multiple renewable energy stations based on the evolution game," Renewable Energy, Elsevier, vol. 208(C), pages 679-692.
    19. Robert Szydło & Sylwia Wiśniewska & Małgorzata Tyrańska & Anna Dolot & Urszula Bukowska & Marek Koczyński, 2021. "Employer Expectations Regarding the Competencies of Employees on the Energy Market in Poland," Energies, MDPI, vol. 14(21), pages 1-21, November.
    20. Qin, Xiaodi & Wu, Haitao & Li, Rongrong, 2022. "Digital finance and household carbon emissions in China," China Economic Review, Elsevier, vol. 76(C).

    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:288:y:2024:i:c:s0360544223031523. 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.