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双环境规制下企业绿色技术创新生态系统的动态博弈分析。

Dynamic Game Analysis of Enterprise Green Technology Innovation Ecosystem under Double Environmental Regulation.

机构信息

School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China.

出版信息

Int J Environ Res Public Health. 2022 Sep 3;19(17):11047. doi: 10.3390/ijerph191711047.

DOI:10.3390/ijerph191711047
PMID:36078759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9518494/
Abstract

In the context of China's "double carbon" target, an urgent problem that remains to be solved is how to drive the construction of an enterprise green innovation ecosystem through effective environmental regulations to alleviate the pressure of energy saving and emission reduction. Based on this, we constructed a tripartite evolutionary game model of enterprises, governments and financial institutions, and used the evolutionary game theory and MATLAB simulation to analyze the evolutionary process of the interaction of the subjects of the green technology innovation of enterprises under the dual environmental regulation. The research finds that: (1) Both formal and informal environmental regulations can promote green technology innovation in enterprises, provided that the enforcement is controlled within an appropriate range; (2) Informal environmental regulations are a weaker driver of green technology innovation in firms than formal environmental regulations; (3) Six types of environmental regulation strategies, namely, the "penalty enterprises mechanism", "financial support mechanism", "public supervision mechanism", "punishes financial institutions mechanism", "financial subsidy mechanism" and "carbon tax mechanism", have a decreasing effect on promoting the development of the green technology innovation ecosystem of enterprises; (4) Combining the implementation of a middle-intensity subsidy mechanism, a high-intensity penalty mechanism, a low-intensity public supervision mechanism and a middle-intensity carbon tax mechanism is the optimal strategy combination to encourage collaborative green technology innovation between companies and financial institutions.

摘要

在中国“双碳”目标的背景下,如何通过有效的环境规制来驱动企业绿色创新生态系统的建设,以缓解节能减排的压力,是一个亟待解决的问题。基于此,构建了企业、政府和金融机构三方的演化博弈模型,运用演化博弈理论和 MATLAB 仿真分析了双重环境规制下企业绿色技术创新主体相互作用的演化过程。研究发现:(1)正式和非正式环境规制都能促进企业的绿色技术创新,前提是执法控制在适当范围内;(2)非正式环境规制对企业绿色技术创新的推动作用弱于正式环境规制;(3)“惩罚企业机制”、“金融支持机制”、“公众监督机制”、“惩罚金融机构机制”、“金融补贴机制”和“碳税机制”这 6 种环境规制策略对企业绿色技术创新生态系统发展的促进作用呈递减效应;(4)实施中强度补贴机制、高强度惩罚机制、低强度公众监督机制和中强度碳税机制的组合是鼓励企业与金融机构协同绿色技术创新的最优策略组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/d5f4a089c2de/ijerph-19-11047-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/a4054ff1576a/ijerph-19-11047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/aa5485ba89f0/ijerph-19-11047-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/4ddae17a229f/ijerph-19-11047-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/e3b11d90dd26/ijerph-19-11047-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b883fbe6ea22/ijerph-19-11047-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b2adea1aa6ca/ijerph-19-11047-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/19d1df82484b/ijerph-19-11047-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/c15cf57a3859/ijerph-19-11047-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b62a7d2ac226/ijerph-19-11047-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/92b54dc1a86f/ijerph-19-11047-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/464a21124ad4/ijerph-19-11047-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/3de67350b805/ijerph-19-11047-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/bc1210b0436f/ijerph-19-11047-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/1b8cfb862da9/ijerph-19-11047-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/d5f4a089c2de/ijerph-19-11047-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/a4054ff1576a/ijerph-19-11047-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/aa5485ba89f0/ijerph-19-11047-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/4ddae17a229f/ijerph-19-11047-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/e3b11d90dd26/ijerph-19-11047-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b883fbe6ea22/ijerph-19-11047-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b2adea1aa6ca/ijerph-19-11047-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/19d1df82484b/ijerph-19-11047-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/c15cf57a3859/ijerph-19-11047-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/b62a7d2ac226/ijerph-19-11047-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/92b54dc1a86f/ijerph-19-11047-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/464a21124ad4/ijerph-19-11047-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/3de67350b805/ijerph-19-11047-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/bc1210b0436f/ijerph-19-11047-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/1b8cfb862da9/ijerph-19-11047-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f47a/9518494/d5f4a089c2de/ijerph-19-11047-g015.jpg

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