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

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  • 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.

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  • 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
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    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. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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).
    12. Fadly, Dalia & Fontes, Francisco, 2019. "Geographical proximity and renewable energy diffusion: An empirical approach," Energy Policy, Elsevier, vol. 129(C), pages 422-435.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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).
    18. 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).
    19. 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.
    20. 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).
    21. 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).
    22. Duch-Brown, Néstor & Rossetti, Fiammetta, 2020. "Digital platforms across the European regional energy markets," Energy Policy, Elsevier, vol. 144(C).
    23. 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).
    24. 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).
    25. 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).
    26. 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.
    27. 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).
    28. 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).
    29. 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.
    30. Danish, & Ulucak, Recep, 2022. "Analyzing energy innovation-emissions nexus in China: A novel dynamic simulation method," Energy, Elsevier, vol. 244(PB).
    31. 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).
    32. 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.
    33. 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).
    34. 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.
    35. 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).
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