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Title Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model
ID_Doc 76433
Authors Tang, DC; Li, JN; Qu, SJ; Boamah, V
Title Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model
Year 2023
Published Sustainability, 15, 10
DOI 10.3390/su15107946
Abstract To solve the problems of economic growth and environmental pollution in China, it is crucial for local governments, as the responsible body for environmental protection, to rely on digital technology platforms to promote the green transformation of manufacturing industries, which is conducive to achieving sustainable social development. This study constructs a tripartite evolutionary game model and simulates and analyzes the influencing factors of manufacturing enterprises, the government and digital technology platforms. The study found that the critical value of the government subsidies for manufacturing enterprises using digital technology platforms is between 0.2 and 0.5. Manufacturing enterprises as "economic agents" should ensure their own profits and the good operation of their business when using digital technology platforms for green upgrading. The government penalties can improve enterprises' green productivity as tested. This study enriches the research in the field of combining game theory and digital economy. It provides a theoretical reference for behavioral decisions of manufacturing enterprises, the government and digital technology platforms.
Author Keywords the digital economy; environmental; green upgrading of manufacturing; evolutionary game model
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000997629000001
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/15/10/7946/pdf?version=1683900619
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