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Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game

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  • Jinxia Wang
  • Yunfeng Tan
  • Lingling Zhan
  • Hongjun Yang
  • Xieling Li
  • Fang Gao
  • Siyuan Qiu

Abstract

Environmental protection talents training (EPTT) is recognized as a key prerequisite for maintaining environmental sustainability, and in order to study the influence of each player on EPTT. This paper innovatively constructs a tripartite evolutionary game model of government, university and enterprise. The equilibrium points and evolutionary stabilization strategies of each participant are solved by replicating the dynamic equations, and the behaviors of each subject in EPTT are analyzed so as to clarify the behavioral characteristics and optimal strategies of the government’s participation in EPTT. The results show that enterprises occupy a more important position in influencing government decisions. The government should reduce the financial incentives for enterprises and replace them with greater policy support. Meanwhile, the government should actively promote the cultivation mechanism that integrates universities and enterprises. The results of the study can provide a decision-making basis for the government to promote the sustainable development of EPTT.

Suggested Citation

  • Jinxia Wang & Yunfeng Tan & Lingling Zhan & Hongjun Yang & Xieling Li & Fang Gao & Siyuan Qiu, 2024. "Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-26, February.
    • Handle: RePEc:plo:pone00:0298548
    DOI: 10.1371/journal.pone.0298548
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    References listed on IDEAS

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    1. Jinxia Wang & Yunfeng Tan & Qiong Hu & Huarong Cheng & Fang Gao, 2024. "Research on talent cultivation for rural revitalization based on three-party evolutionary game," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-20, November.

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