Government Financial Support and Enterprises' Economic Revitalization and Pollution Discharge under Normalization of the Epidemic: An Evolutionary Game Analysis Framework

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Abstract

The world economy, since the outbreak of the coronavirus epidemic, has undergone profound changes. Especially since the coronavirus became the norm, how to achieve rapid economic revitalization has become a problem that countries have to face. In order to analyze how the government should promote the enterprises' economic revitalization and effectively control pollution under the normalized epidemic situation, this paper analyzes the economic revitalization and pollution control problems faced by enterprises under the normalized epidemic situation by using the evolutionary game method. Through the analysis of the evolutionary game model, we draw the following conclusions: (1) Discovered by comparing two different incentives mechanism and penalties mechanism, the dynamic incentives mechanism, and penalties mechanism has a better effect on the process of enterprises' economic revitalization, and it also can reduce the discharge of enterprises' pollutants. (2) In terms of discharge reduction effect, penalties have a better effect than incentives. Compared with incentives, in the process of the economic revitalization of enterprises, in order to reduce pollution discharge, the government can adopt dynamic penalties strategies. This paper analyzes what the government should do when enterprises face the problems of economic revitalization and pollution control. This study can not only provide suggestions for the government in the process of governance but also provide countermeasures for the economic revitalization of enterprises.

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Zhang, S., Chen, T., Liu, Y., Cheng, B., & Qin, G. (2022). Government Financial Support and Enterprises’ Economic Revitalization and Pollution Discharge under Normalization of the Epidemic: An Evolutionary Game Analysis Framework. Discrete Dynamics in Nature and Society, 2022. https://doi.org/10.1155/2022/8197239

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