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JOAMS 2023 Vol.11(1): 39-43
doi: 10.18178/joams.11.1.39-43

Verification of Green Reform and Government Policy Decisions of Manufacturing Firms Based on Evolutionary Game

Shengan Yu, Hang Zhou, and Kai Wu
Macau University of Science and Technology, Macau, China
*Correspondence: yushengan4435@foxmail.com

Manuscript received October 11, 2022; revised November 27, 2022; accepted February 14, 2023; published March 8, 2023.

Abstract—The primary concern right now in terms of global green development is cutting carbon emissions. The Chinese government wants to fully decrease carbon peak across by 2030 and to achieve carbon neutrality by 2060. Reducing emissions from industry is a critical issue because it is one of the largest producers of carbon emissions. However, the requirement to lower emissions in the industrial sector will surely cost more, increase costs, and even result in losses, thus an increasing number of businesses are still reluctant to implement reforms. The Chinese government has introduced a number of policies to encourage green growth as much as possible since it recognizes the challenges faced by businesses. Seeing the above problem, we propose in our study the derivation and prediction using an evolutionary game model, which analyzes the degree of influence between multiple variables. Research shows that in the current situation, irrespective of government policy choices, manufacturing companies are opting for green manufacturing is the best way forward. It offers a solid theoretical foundation for government and business decision-making.

Keywords—green manufacturing, evolutionary game, manufacturing development, decision making, carbon neutral

Cite: Shengan Yu, Hang Zhou, and Kai Wu, "Verification of Green Reform and Government Policy Decisions of Manufacturing Firms Based on Evolutionary Game," Journal of Advanced Management Science, Vol. 11, No. 1, pp. 39-43, 2023. doi: 10.18178/joams.11.1.39-43

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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