IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p7946-d1145936.html
   My bibliography  Save this article

Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model

Author

Listed:
  • Decai Tang

    (School of Law and Business, Sanjiang University, Nanjing 210012, China)

  • Jiannan Li

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Shaojian Qu

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Valentina Boamah

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

To solve the problems of economic growth and environmental pollution in China, it is crucial for local governments, as the responsible body for environmental protection, to rely on digital technology platforms to promote the green transformation of manufacturing industries, which is conducive to achieving sustainable social development. This study constructs a tripartite evolutionary game model and simulates and analyzes the influencing factors of manufacturing enterprises, the government and digital technology platforms. The study found that the critical value of the government subsidies for manufacturing enterprises using digital technology platforms is between 0.2 and 0.5. Manufacturing enterprises as “economic agents” should ensure their own profits and the good operation of their business when using digital technology platforms for green upgrading. The government penalties can improve enterprises’ green productivity as tested. This study enriches the research in the field of combining game theory and digital economy. It provides a theoretical reference for behavioral decisions of manufacturing enterprises, the government and digital technology platforms.

Suggested Citation

  • Decai Tang & Jiannan Li & Shaojian Qu & Valentina Boamah, 2023. "Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7946-:d:1145936
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/7946/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/7946/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    2. Lionel Nesta & Francesco Vona & Francesco Nicolli, 2012. "Environmental Policies, Product Market Regulation and Innovation in Renewable Energy," Working Papers 2012.90, Fondazione Eni Enrico Mattei.
    3. Liu, Jingjing & Zhao, Min & Wang, Yanbo, 2020. "Impacts of government subsidies and environmental regulations on green process innovation: A nonlinear approach," Technology in Society, Elsevier, vol. 63(C).
    4. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    5. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    6. Larry Samuelson, 2002. "Evolution and Game Theory," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 47-66, Spring.
    7. Shan, Haiyan & Yang, Junliang, 2019. "Sustainability of photovoltaic poverty alleviation in China: An evolutionary game between stakeholders," Energy, Elsevier, vol. 181(C), pages 264-280.
    8. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    9. Jung, Seung Hwan & Feng, Tianjun, 2020. "Government subsidies for green technology development under uncertainty," European Journal of Operational Research, Elsevier, vol. 286(2), pages 726-739.
    10. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    11. Raj Kumar Bachar & Shaktipada Bhuniya & Santanu Kumar Ghosh & Biswajit Sarkar, 2022. "Controllable Energy Consumption in a Sustainable Smart Manufacturing Model Considering Superior Service, Flexible Demand, and Partial Outsourcing," Mathematics, MDPI, vol. 10(23), pages 1-29, November.
    12. Yang, Rui & Tang, Wansheng & Zhang, Jianxiong, 2021. "Technology improvement strategy for green products under competition: The role of government subsidy," European Journal of Operational Research, Elsevier, vol. 289(2), pages 553-568.
    13. Songqin Zhao & Diyun Peng & Huwei Wen & Huilin Song, 2022. "Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    14. Xiaonan Fan & Ye Wang & Xinyuan Lu, 2022. "Digital Transformation Drives Sustainable Innovation Capability Improvement in Manufacturing Enterprises: Based on FsQCA and NCA Approaches," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    15. Zhang, Hao & Cai, Guixin, 2020. "Subsidy strategy on new-energy vehicle based on incomplete information: A Case in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    16. Yang, Kun & Wang, Wan & Xiong, Wan, 2021. "Promoting the sustainable development of infrastructure projects through responsible innovation: An evolutionary game analysis," Utilities Policy, Elsevier, vol. 70(C).
    17. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    18. Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    19. Yao Zhao & Xuena Kong & Mahmood Ahmad & Zahoor Ahmed, 2023. "Digital Economy, Industrial Structure, and Environmental Quality: Assessing the Roles of Educational Investment, Green Innovation, and Economic Globalization," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    20. Bigerna, Simona & Wen, Xingang & Hagspiel, Verena & Kort, Peter M., 2019. "Green electricity investments: Environmental target and the optimal subsidy," European Journal of Operational Research, Elsevier, vol. 279(2), pages 635-644.
    21. Zhang, Dongyang, 2021. "Green credit regulation, induced R&D and green productivity: Revisiting the Porter Hypothesis," International Review of Financial Analysis, Elsevier, vol. 75(C).
    22. Hong Tang & Chaoyue Cai & Chunxiao Xu, 2022. "Does the Digital Economy Improve Urban Tourism Development? An Examination of the Chinese Case," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    23. Wen, Huwei & Wen, Changyong & Lee, Chien-Chiang, 2022. "Impact of digitalization and environmental regulation on total factor productivity," Information Economics and Policy, Elsevier, vol. 61(C).
    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. Liang Ma & Weiqiang Hu & Ru Liang, 2024. "The Impact of the Industrial Internet on the Innovation and Development Level of China’s Manufacturing Industry: Under the Perspective of Government Incentives," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    2. Die Hu & Lu Qiu & Maoyan She & Yu Wang, 2021. "Sustaining the sustainable development: How do firms turn government green subsidies into financial performance through green innovation?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2271-2292, July.
    3. Zhangsheng Liu & Liuqingqing Yang & Liqin Fan, 2021. "Induced Effect of Environmental Regulation on Green Innovation: Evidence from the Increasing-Block Pricing Scheme," IJERPH, MDPI, vol. 18(5), pages 1-15, March.
    4. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    5. Jiangfeng Hu & Zhao Wang & Qinghua Huang & Xiaoqin Zhang, 2019. "Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology Spillover—An Empirical Study," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    6. Die Hu & Yuandi Wang & Yu Li, 2017. "How Does Open Innovation Modify the Relationship between Environmental Regulations and Productivity?," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1132-1143, December.
    7. Galeotti, Marzio & Salini, Silvia & Verdolini, Elena, 2020. "Measuring environmental policy stringency: Approaches, validity, and impact on environmental innovation and energy efficiency," Energy Policy, Elsevier, vol. 136(C).
    8. Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.
    9. Galeotti, Marzio & Rubashkina, Yana & Salini, Silvia & Verdolini, Elena, 2018. "Environmental policy performance and its determinants: Application of a three-level random intercept model," Energy Policy, Elsevier, vol. 114(C), pages 134-144.
    10. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    11. Morteza Akbari & Hamid Padash & Zahra Shahabaldini Parizi & Haniye Rezaei & Elmira Shahriari & Ala Khosravani, 2022. "A bibliometric review of green innovation research: identifying knowledge domain and network," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 3993-4023, December.
    12. Marzio Galeotti & Silvia Salini & Elena Verdolini, 2017. "Measuring Environmental Policy Stringency: Approaches, Validity, and Impact on Energy Efficiency," Development Working Papers 412, Centro Studi Luca d'Agliano, University of Milano.
    13. Nagy, Roel L.G. & Hagspiel, Verena & Kort, Peter M., 2021. "Green capacity investment under subsidy withdrawal risk," Energy Economics, Elsevier, vol. 98(C).
    14. Herman, Kyle S. & Xiang, Jun, 2019. "Induced innovation in clean energy technologies from foreign environmental policy stringency?," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 198-207.
    15. Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    16. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    17. Lu Qiu & Die Hu & Yu Wang, 2020. "How do firms achieve sustainability through green innovation under external pressures of environmental regulation and market turbulence?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2695-2714, September.
    18. Li Liu & Zhe Wang & Jiangtao Xu & Zaisheng Zhang, 2023. "Green baton: how government interventions advance green technological innovation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11121-11152, October.
    19. Qiang Qiu & Jinyue Yu, 2023. "Impact of independent director network on corporate green innovation: Evidence from Chinese listed companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(6), pages 3271-3293, November.
    20. Hu, Jiangfeng & Pan, Xinxin & Huang, Qinghua, 2020. "Quantity or quality? The impacts of environmental regulation on firms’ innovation–Quasi-natural experiment based on China's carbon emissions trading pilot," Technological Forecasting and Social Change, Elsevier, vol. 158(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:gam:jsusta:v:15:y:2023:i:10:p:7946-:d:1145936. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.