| Title |
Research on the Mechanism of Government-Industry-University-Institute Collaborative Innovation in Green Technology Based on Game-Based Cellular Automata |
| ID_Doc |
30723 |
| Authors |
Li, TC; Zhou, XY |
| Title |
Research on the Mechanism of Government-Industry-University-Institute Collaborative Innovation in Green Technology Based on Game-Based Cellular Automata |
| Year |
2022 |
| Published |
International Journal Of Environmental Research And Public Health, 19, 5 |
| DOI |
10.3390/ijerph19053046 |
| Abstract |
In order to ensure stable cooperation among the government, enterprise and university/institute in the green technology innovation process and guide an increasing number of innovation agents in the region to adopt cooperation, this paper studies the mechanism of green technology innovation. A tripartite evolutionary game model is established and the strategy choices of the government, industry and university/institute are analyzed through mathematical derivation. On this basis, the cellular automata theory is used to explore strategy choices of all innovation agents in the region from the perspective of a spatial game. From the numerical tests, the following results are obtained: increasing the cooperative innovation revenue, fairness of this revenue distribution or penalties for breach of contract can consolidate the cooperative relationship among the government, enterprise and university/institute, achieving the goal of guiding all innovation agents in the region to accept the collaborative innovation mode; regulating the government subsidy or government penalty can consolidate the cooperative relationship among participants in the pilot project, but cannot guide all innovation agents in the region accept the collaboration innovation mode. This paper's results not only enrich the theory of government-industry-university-institute collaborative innovation in green technology, but provide ideas for stable cooperation mechanisms and comprehensive promotion of this collaborative innovation mode as well. |
| Author Keywords |
green technology innovation; government-industry-university-institute; collaborative innovation; dynamic evolution; evolutionary game theory; cellular automata |
| 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:000771288300001 |
| WoS Category |
Environmental Sciences; Public, Environmental & Occupational Health |
| Research Area |
Environmental Sciences & Ecology; Public, Environmental & Occupational Health |
| PDF |
https://www.mdpi.com/1660-4601/19/5/3046/pdf?version=1646638985
|