IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i9p3986-d1645007.html
   My bibliography  Save this article

Research on the Random Evolutionary Game of the Green Technology Innovation Alliance for Media Monitoring

Author

Listed:
  • Qing Zhong

    (School of Ethnology and History, Guizhou Minzu University, Guiyang 550025, China)

  • Haiyang Cui

    (School of Ethnology and History, Guizhou Minzu University, Guiyang 550025, China)

  • Mei Yang

    (School of Mathematics and Statistics, Guizhou University, Guiyang 550025, China)

  • Ling Cheng

    (School of Economics, Guizhou University, Guiyang 550025, China)

  • Liuhua Fang

    (School of Economics, Guizhou University, Guiyang 550025, China)

  • Qianhui Sun

    (Yangming College, Guizhou University, Guiyang 550025, China)

Abstract

In the new media era, the green technology alliance with multi-participation has emerged as a powerful contributor to achieving the strategic goal of a green economy. Therefore, this paper constructs a stochastic evolutionary game model of green technology innovation led by the government under an uncertain environment and jointly promoted by enterprises, universities, and research institutes. Then, this study firstly explores the influence of different factors on evolutionary equilibrium and secondly discusses the role of main factors on the behavior strategies of each game subject. Furthermore, numerical simulation analysis using Matlab R2019a 9.6 will be used to prove the model’s validity. The research has shown (1) that media monitoring positively impacts the stability of the alliance and that product greenness can further accelerate alliance evolution when media monitoring is in place. When this factor is small, it will lead to the transformation of Industry-University-Research’s (IUR) optimal strategy into non-cooperation in the early stage. (2) The green degree of products positively affects the decision-making choice of the IUR, but it is not the case for the government. And the role of media supervision will further coordinate its influence and accelerate the evolution of alliances. (3) The enhancement of media monitoring capacity can encourage game subjects to evolve in a more beneficial way. In addition, the implementation of media supervision will help reduce the cost of government supervision and provide reputation benefits. The research fully accounts for the complexity and variability of the environment, and the results provide theoretical support and practical advice for the high-quality development of the green technology innovation alliance.

Suggested Citation

  • Qing Zhong & Haiyang Cui & Mei Yang & Ling Cheng & Liuhua Fang & Qianhui Sun, 2025. "Research on the Random Evolutionary Game of the Green Technology Innovation Alliance for Media Monitoring," Sustainability, MDPI, vol. 17(9), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3986-:d:1645007
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/9/3986/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/9/3986/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Markku Sotarauta & Nina Suvinen, 2019. "Place leadership and the challenge of transformation: policy platforms and innovation ecosystems in promotion of green growth," European Planning Studies, Taylor & Francis Journals, vol. 27(9), pages 1748-1767, September.
    3. Qingfeng Zhu & Kaimin Zheng & Yilin Wei & Ruguo Fan, 2021. "Three-Party Stochastic Evolutionary Game Analysis of Reward and Punishment Mechanism for Green Credit," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-12, June.
    4. Pan, Feng & Diao, Zexin & Wang, Lin, 2023. "The impact analysis of media attention on local environmental governance based on four-party evolutionary game," Ecological Modelling, Elsevier, vol. 478(C).
    5. 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.
    6. Zhang, Hongwei & Shao, Yanmin & Han, Xiping & Chang, Hsu-Ling, 2022. "A road towards ecological development in China: The nexus between green investment, natural resources, green technology innovation, and economic growth," Resources Policy, Elsevier, vol. 77(C).
    7. Shizhen Bai & Zejun Liu & Yang Lv & Liang Gao, 2022. "Evolutionary Game Analysis of Consumer Complaint Handling in E-Commerce," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-15, April.
    8. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    9. Ruixia Han & Jian Xu & David Pan, 2022. "How Media Exposure, Media Trust, and Media Bias Perception Influence Public Evaluation of COVID-19 Pandemic in International Metropolises," IJERPH, MDPI, vol. 19(7), pages 1-14, March.
    10. Kafouros, Mario & Wang, Chengqi & Piperopoulos, Panagiotis & Zhang, Mingshen, 2015. "Academic collaborations and firm innovation performance in China: The role of region-specific institutions," Research Policy, Elsevier, vol. 44(3), pages 803-817.
    11. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Yuebin Zhang & Xin Yi & Hui Qiu & Jingchuan Chen & Fazal M. Mahomed, 2022. "An Evolutionary Game Analysis of Contractor’s Green Construction Behavior with Government Supervision and WeMedia’s Influence," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, May.
    13. Hussain, Jafar & Lee, Chien-Chiang & Chen, Yongxiu, 2022. "Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Emilio Abad-Segura & Ana Batlles de la Fuente & Mariana-Daniela González-Zamar & Luis Jesús Belmonte-Ureña, 2020. "Effects of Circular Economy Policies on the Environment and Sustainable Growth: Worldwide Research," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    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. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    3. Wen, Huwei & Liang, Weitao & Lee, Chien-Chiang, 2022. "Urban broadband infrastructure and green total-factor energy efficiency in China," Utilities Policy, Elsevier, vol. 79(C).
    4. Wen, Jun & Yin, Hua-Tang & Jang, Chyi-Lu & Uchida, Hideaki & Chang, Chun-Ping, 2023. "Does corruption hurt green innovation? Yes – Global evidence from cross-validation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    5. Lee, Chien-Chiang & Yuan, Zihao & Lee, Chi-Chuan & Chang, Yu-Fang, 2022. "The impact of renewable energy technology innovation on energy poverty: Does climate risk matter?," Energy Economics, Elsevier, vol. 116(C).
    6. Zhang, Xiaoming & Liang, Qian & Lee, Chien-Chiang, 2023. "How does central bank transparency affect systemic risk? Evidence from developed and developing countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 101-115.
    7. Li, Yaya & Zhang, Yun, 2023. "What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis," Energy Economics, Elsevier, vol. 127(PA).
    8. Ho, Kung-Cheng & Shen, Xixi & Yan, Cheng & Hu, Xiang, 2023. "Influence of green innovation on disclosure quality: Mediating role of media attention," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    9. Mirza, Nawazish & Umar, Muhammad & Afzal, Ayesha & Firdousi, Saba Fazal, 2023. "The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 33-40.
    10. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi, 2022. "Digital financial inclusion and carbon neutrality: Evidence from non-linear analysis," Resources Policy, Elsevier, vol. 79(C).
    11. Maiti, Moinak, 2022. "Does improvement in green growth influence the development of environmental related technology?," Innovation and Green Development, Elsevier, vol. 1(2).
    12. Li, Huidi & Liu, Jiali & Wang, Huiru, 2024. "Impact of green technology innovation on the quality of regional economic development," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 463-476.
    13. Wang, Yafei & Bai, Ying & Quan, Tianshu & Ran, Rong & Hua, Lei, 2023. "Influence and effect of industrial agglomeration on urban green total factor productivity—On the regulatory role of innovation agglomeration and institutional distance," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1158-1173.
    14. Scott Gehlbach & Konstantin Sonin & Ekaterina Zhuravskaya, 2010. "Businessman Candidates," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 718-736, July.
    15. Russell S. Sobel & Nabamita Dutta & Sanjukta Roy, 2010. "Beyond Borders: Is Media Freedom Contagious?," Kyklos, Wiley Blackwell, vol. 63(1), pages 133-143, February.
    16. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    17. Pierre Fleckinger & Matthieu Glachant & Gabrielle Moineville, 2017. "Incentives for Quality in Friendly and Hostile Informational Environments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 242-274, February.
    18. Pu, Guifang & Xie, Yanxiang & Wu, Lidong & Wang, Kai, 2024. "Industrial robots and corporate risk-taking value," Finance Research Letters, Elsevier, vol. 70(C).
    19. Chen, Junlong & Sun, Chaoqun & Xu, Bo & Kong, Yan, 2024. "Emission reduction technology R&D and sharing with environmental corporate social responsibility," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    20. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(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:17:y:2025:i:9:p:3986-:d:1645007. 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.