Incentive strategy of dual innovation balance in green manufacturing innovation ecosystem: Based on hierarchical structure of innovation subject

Exploratory innovation is a pivotal way to seize future opportunities in green manufacturing innovation ecosystems, and exploitative innovation is conducive to expanding existing markets and resources, so it is essential to discuss the balanced incentive strategy of dual innovation for the sustainab...

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Vydáno v:PloS one Ročník 18; číslo 9; s. e0291811
Hlavní autoři: Qin, Hao, Zou, Hua, Sun, Jian
Médium: Journal Article
Jazyk:angličtina
Vydáno: San Francisco Public Library of Science 21.09.2023
Public Library of Science (PLoS)
Témata:
Biology and Life Sciences
Collaboration
Colleges & universities
Construction costs
Differential games
Ecology and Environmental Sciences
Ecosystems
Efficiency
Engineering and Technology
Environmental aspects
Exploitation
Forecasts and trends
Green technology
Innovations
Manufacturing
Manufacturing industry
Optimization
Organizational learning
Scientific research
Social Sciences
Strategy
Sustainable development
Technological change
Technology
Technology application
China
ISSN:1932-6203, 1932-6203
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Shrnutí:Exploratory innovation is a pivotal way to seize future opportunities in green manufacturing innovation ecosystems, and exploitative innovation is conducive to expanding existing markets and resources, so it is essential to discuss the balanced incentive strategy of dual innovation for the sustainable development of ecosystems. Based on the hierarchical structure, this paper divides the core subjects in the green manufacturing innovation ecosystem into the application layer, the support layer, and the scientific research layer, constructs the differential game model of the no-incentive scenario, the cost-sharing scenario, and the collaborative scenario, and discusses the incentive strategies of the three types of subjects and the ecosystem in the evolution process of the dual innovation balance. The conclusions are as follows: (1) The level of dual innovation balance effort of the three types of subjects decreases with the increase of resource costs and environmental construction costs and increases with the increase of innovation balance capacity; (2) Cost sharing from the application layer to the support layer and the scientific research layer can enhance the effort level of both, which in turn enhances the optimal benefits for the three types of subjects and the ecosystem as a whole; (3) In the collaborative scenario, the level of effort and total ecosystem benefits of the innovation balance of the three types of subjects are strictly better than in the no incentive scenario, and the Pareto-optimality of the three subjects and the ecosystem will be realized after the coefficients of the distribution of benefits among the three types of subjects are determined. Based on this, this paper puts forward specific suggestions for the optimization of the structural relationship of the innovation body hierarchy, the exploitation of green manufacturing resources, and the macro-planning of the management department.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0291811