ORIGINAL RESEARCH
Research on Sustainable Green Development Based on Dynamic Evolutionary Games from the Perspective of Environmental Regulations and Digital Technology Subsidies
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School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China
 
 
Submission date: 2023-04-26
 
 
Final revision date: 2023-07-05
 
 
Acceptance date: 2023-07-14
 
 
Online publication date: 2023-10-02
 
 
Publication date: 2023-10-25
 
 
Corresponding author
Wei Cao   

School of Economics and Management, Taiyuan University of Technology, 030024, Taiyuan, China
 
 
Pol. J. Environ. Stud. 2023;32(6):5227-5243
 
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ABSTRACT
The trade-off between economic growth and environmental pollution is a significant challenge for many developing countries. The emergence of digital technology is reshaping economic development and innovation systems, making it crucial to integrate digital technology and green enterprise innovation. However, local government environmental regulations can impact sustainable green development of enterprises. This study constructs a model of a three-party evolutionary game between the government, digital consulting institutions, and enterprises to explore external incentives for promoting sustainable green development among enterprises. Findings suggest that different instruments of environmental regulation have varying effects on sustainable green development of enterprises. High-intensity command-and-control, middle-intensity market-inspired, low-intensity public participation-based, and low-intensity digital technology subsidies are the optimal combination of strategies that can drive sustainable green development among enterprises more quickly and effectively in the long term. This paper proposes an optimal strategy for sustainable green development of enterprises under the game between local governments, enterprises, and digital consulting institutions from a multi-party evolutionary game perspective, providing a reference for policy development plans and theories of sustainable development for China’s double carbon target.
eISSN:2083-5906
ISSN:1230-1485
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