4.7 Article

How do government policies affect the diffusion of green innovation among peer enterprises?-An evolutionary-game model in complex networks

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 364, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.132711

Keywords

Green innovation; Policy impact; Peer effect; Evolutionary game; Small world network; Diffusion

Funding

  1. Major Projects of National Social Science Foundation of China [20 ZD155]
  2. Philosophy and Social Science Foundation of the Ministry of Education of China [19JHQ09]

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This study establishes an evolutionary game model based on a complex network to analyze the dynamic impact of government policies on the diffusion of green innovation among peer enterprises. The results indicate that green innovation incentives, environmental protection taxes, and innovation subsidies are effective policy tools for promoting green innovation diffusion, while the information interaction mechanisms also have an impact on policy effectiveness.
Peer enterprises face similar market environment and development prospects. For the purpose of economic rationality and avoiding risks, enterprises imitate and learn from peer enterprises' green innovation decisions. However, few studies focus on the relationship between peer effect and government policies. In order to fill the gap, an evolutionary game model based on complex network is built, and different information interaction mechanisms are constructed to study the dynamic impact of government policies on the diffusion of green innovation among peer enterprises. The results show that: (1) based on peer effect, green innovation incentive, environmental protection tax and innovation subsidy are effective policy tools to promote green innovation diffusion. (2) green innovation incentive and innovation subsidy have the best policy effect threshold. Peer alliances invalidate further incentives for generosity. (3) Increasing the intensity of environmental tax will first promote and then inhibit the diffusion of green innovation. (4) Different information interaction mechanisms of peer effect significantly impact the effectiveness of policies, and there are differences. Compared with the positive information, enterprises are more vulnerable to the negative information of the industry. This reflects the conservative attitude of enterprises. The conclusions provide a multi perspective reference for the implementation of government policies.

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