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Evolution and Equilibrium of Collaborative Innovation System of Low-Carbon Technology: Simulation of a Multi-stakeholders Game Model

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DOI: 10.23977/cpcs.2023.070105 | Downloads: 9 | Views: 413

Author(s)

Li Yanhong 1, Li Bohan 1

Affiliation(s)

1 Institues of Economics and Administration, North China Electric Power University, No. 619, Yonghuabei Street, Lianchi District, Baoding, Hebei, 071003, China

Corresponding Author

Li Yanhong

ABSTRACT

Low-carbon technology innovation is different from ordinary technology research, which has high investment, high risk and great uncertainty. It is very hard for enterprises and research institutions to succeed independently, and almost impossible for them to cooperate actively. Due to the different objective of participants, the expectation of innovation is reflected in the initial collaborative intention, which is a pivotal factor influencing the stability of collaborative innovation. On the premise of bounded rationality, this paper constructs multiple stakeholders evolutionary game model involving government, enterprises and scientific institutions. The influence of initial strategy probabilities of three participants is analysed in detail through simulation. The findings are as follows: (1) The evolution of government strategy is not affected by the initial collaboration probabilities of enterprises and research institutions. Eventually government strategies evolve into stimulation and support. (2) The strategy evolution of enterprises and research institutions is significantly affected by the initial strategy probabilities of three participants. The higher the initial probability of government support, the higher the possibility of enterprises and scientific institutions participating in collaboration. At the same time, the initial collaboration probabilities of enterprises and research institutions have a significant impact on each other, and the higher initial collaboration probability of one participant, the higher the probability of the other participating in collaboration. (3) Through the scenario simulation of two extreme probabilities, it is found that enterprises, compared with research institutions, play a more decisive role in collaborative low-carbon technology innovation under the support of the government. Therefore, if the government wants to realize the low-carbon technology collaborative innovation, the essential point is to stimulate collaboration enthusiasm of enterprises.

KEYWORDS

Low-carbon technology, evolutionary game, collaborative innovation

CITE THIS PAPER

Li Yanhong, Li Bohan, Evolution and Equilibrium of Collaborative Innovation System of Low-Carbon Technology: Simulation of a Multi-stakeholders Game Model. Computing, Performance and Communication Systems (2023) Vol. 7: 32-44. DOI: http://dx.doi.org/10.23977/cpcs.2023.070105.

REFERENCES

[1] 2019BP Statistical Review of World Energy, https://www.bp.com/papercopies. 
[2] Zhang Yi. Research on the Measure and Promotion of the Collaborative Relationship between Green Technology Innovation and Low Carbon Development in China [J]. Journal of Technology Economics, 2020, 39(11): 36-43.
[3] Rothenberg S, Zyglidopoulos S C. Determinants of environmental innovation adoption in the printing industry: the importance of task environment[J]. Business Strategy and the Environment, 2007,16(1): 39-49. 
[4] Crawford J, W French. A low-carbon future: Spatial planning’s role in enhancing technological innovation in the built environment[J]. Energy Policy, 2008,36 (12):4575-4579.
[5] Quan Guo, Min Zhou. Spatial Effects of Environmental Regulation and Green Credits on Green Technology Innovation under Low-Carbon Economy Background Conditions[J]. International Journal of Environmental Research and Public Health, 2019, 16(07):455-467. 
[6] Mingyue Wang, Yingming Li. Will carbon tax affect the strategy and performance of low-carbon technology sharing between enterprises? [J]. Journal of Cleaner Production, 2018: 724-737.
[7] Parayil G. Mapping technological trajectories of the green revolution and the gene revolution from modernization to globalist [J]. Research Policy, 2003, 32(6):971-990. 
[8] Liew M. S, Tengku Shahasan T. N, LIM E S. Strategic and Tactical Approaches on University-Industry Collaboration [J]. Procedia-Social and Behavioral Sciences, 2012,58(8): 405-444.
[9] Yingying Xu, Liangqun Qi. An Evolution Analysis of Collaborative Innovation Network considering Government Subsidies and Supervision[J]. Mathematical Problems in Engineering, 2019(29):43-54. 
[10] Hanjie Xiao, Honglei Yang, Jianhua Zhou. On the LCEFT Multi-player Collaborative Innovation Evolutionary Game with the Support of Green Finance[J]. EKOLOJI, 2019,28 (107):1349-1364.
[11] Liu Hedong, Tao Yuan. Analysis of Evolutionary Game of Government-Industry-University-Institute Cooperative Innovation [J]. Science and Technology Management Research, 2016(8):8-14. 
[12] Yueting Liu. Analysis on Evolutionary Game Theory of Industry-University/Institute Collaborative Innovation[D]. Harbin: Harbin Institute of Technology, 2015.
[13] Zigang Yang. Game Analysis on Collaborative Innovation Cooperation Models of Enterprises, Universities and Research Institutes under the Condition of Government Intervention[J]. Journal of Northeast Normal University (Philosophy and Social Sciences), 2018(3):85-94. 
[14] Ruguo Fan, Lili Dong. The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents[J]. Energy Policy,2018 (117):252–262.
[15] Etzkowitz H, Leidesdorff E. The dynamics of innovation: From national systems and "mode2" to a Triple Helix of university-industry, government relations[J]. Research Policy, 2000(29): 109-123.
[16] Jie Wu, Xiaojing Che, Yongxiang Sheng. Study on Government-industry-university-institute Collaborative Innovation Based on Tripartite Evolutionary Game[J]. Chinese Journal of Management Science, 2019(27):162-173. 
[17] Junxia Zhang. Research on Collaborative Innovation of Government-industry-university-institute under the New Normal of Economy[J]. Science and Technology Progress and Policy, 2015, 32 (14): 27-30.
[18] Yong Qi, Ming Zhang, Gang Ding. Strategy on Resource-Sharing among Collaborative Innovation Entities Based on Game Theory [J]. China Soft Science, 2013(1): 149-154.
[19] Nash J. Non-Cooperative Games. Ph. D. thesis, New Jersey: Princeton University, 1950:76-87.
[20] Qifeng Wei, Xin Gu. Study on the Synergetic Innovation Process of Industry-University-Research Institute Based on Knowledge Flow [J]. Science and Technology Progress and Policy, 2013, 30 (15): 133-137.

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