Behavioral Analysis of Subjects for Green Technology Innovation: A Tripartite Evolutionary Game Model

Guo, Yongquan; Zou, Hua; Zhu, Liu

doi:10.1155/2021/5181557

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…It should be emphasized that although most existing studies take the government as the main body of the game to study the role of ER [16,38], this paper considers that the government as the main body of collaborative innovation in the evolutionary game model only considers its demands for economic interests, while ignoring its emphasis on social interests. Therefore, different from most previous studies, this paper takes government regulatory measures as the external innovation environment [15].…”

Section: Basis Of the Evolutionary Game Modelmentioning

confidence: 99%

“…Yang et al [15] points out that ER can promote enterprises and universities to adopt collaborative innovation strategies. Guo et al [16] pointed out that effective environmental regulation is conducive to promoting enterprises and R&D institutions to carry out green technology R&D. Therefore, reasonable ER is conducive to promoting green collaborative innovation. However, different types of environmental regulations differ in their environmental protection goals and implementation [11,17].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Environmental Regulations on Green Collaborative Innovation in China: An Analysis Based on an Evolutionary Game Perspective

Meng¹,

Zhang²

2022

Pol. J. Environ. Stud.

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Reasonable environmental regulation is beneficial to promote green innovation and sustainable development, but the current lack of research of environmental regulation and collaborative innovation intention. Based on this, this paper constructs an evolutionary game model of green collaborative innovation between enterprises and financial institutions from the perspective of enterprise information disclosure and financing constraints, and explores the specific effects of different types of environmental regulation through case analysis and numerical simulation. Case studies show that the cooperation between enterprises and financial institutions is conducive to the realization of green innovation, but there is still no effective restraint mechanism. The numerical simulation results show that the combination of market-incentive and command-controlled environmental regulation can better stimulate the willingness of collaborative innovation, but the former has more significant incentive effect. Further, for enterprises, the government's cost subsidy or revenue incentive coefficient positively affects the cooperative innovation willingness of both parties. Similarly, the improvement of the cost subsidy or income incentive or even punishment coefficient by the government to financial institutions also has the same effect; increasing the cost subsidy coefficient is more significant, and enterprises are more sensitive to this. This paper provides reference for Chinese government to make reasonable environmental policy.

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Section: Basis Of the Evolutionary Game Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Environmental Regulations on Green Collaborative Innovation in China: An Analysis Based on an Evolutionary Game Perspective

Meng¹,

Zhang²

2022

Pol. J. Environ. Stud.

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“…Meanwhile, new, diversified energy development can also meet the energy needs of different regions and industries and achieve the diversification of energy. Enterprises usually play major roles in the technological innovation of an industry [7].…”

Section: Introductionmentioning

confidence: 99%

Does Technological Innovation Efficiency Improve the Growth of New Energy Enterprises? Evidence from Listed Companies in China

Chen,

Li,

Zhang

et al. 2024

Sustainability

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With the implementation of “carbon peaking and carbon neutrality” in China, new energy enterprises, as the vanguard in this strategy, have entered a new era of innovation-driven development. However, enterprises at different lifecycle stages will face different internal and external conditions, and there are differences in their internal mechanisms and business performance. In this case, whether technological innovation efficiency can have an obviously positive effect on their growth and what different effects it can have for enterprises at different lifecycle stages have become issues of great concern to company management, investors, governments, and other stakeholders. This research takes 81 new Chinese energy enterprises as the research objects. First, they are divided into growing, mature, and declining enterprises based on the cash flow combination method. Then, their technological innovation efficiencies from 2016 to 2021 are calculated based on the stochastic frontier method and their growth evaluations are performed by taking both financial and non-financial indicators into consideration. Finally, by taking mediating effects into consideration, the heterogeneity effects of technological innovation efficiency on their growth are studied from the perspective of enterprise lifecycles based on the fixed-effect model. The research results indicate that the technological innovation efficiency of new Chinese energy enterprises has fluctuated around 0.90 in recent years, and is generally at a high level. The efficiency ranking of enterprises at different lifecycle stages is mature period > growing period > declining period. Technological innovation efficiency has a positive impact on their growth, and market share plays a mediating role in this process. The effects of technological innovation efficiency on enterprises at different stages are different, with growing and mature enterprises showing a positive impact. Growing enterprises are more affected by technological innovation efficiency due to their demand for innovation-driven development, while declining enterprises often face difficulties such as unstable operating conditions and outdated equipment, and unreasonable technological innovations may actually accelerate their decline.

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“…First, this paper employs organizational distance to characterize the effectiveness of industrial cluster collaboration, considering that geographic proximity is a key determinant in the competitive advantage of industrial clusters. Second, evolutionary games have become an essential research tool in innovation research [19][20][21][22], rendering them ideally suited for the study of open innovation mode selection. Finally, the model is strengthened in 2…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis on Impacts of Organization Distance on Open Innovation Mode Selection of High-Tech Industrial Clusters

Mei

Jiang

2022

Mathematical Problems in Engineering

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Based on the evolutionary game theory, this study aimed to explore the decision-making behavior of the enterprise when it adopted the open innovation model from the perspective of organizational distance. The evolutionary game theory is an important method to study the enterprise’ decision-making under bounded rationality. It applies to describe the trend of decision-making based on the enterprises’ open innovation choices in industrial clusters. This paper employs open innovation and institutional theory, utilizes industrial clusters as the research object, and measures the geographical proximity of enterprises in high-tech industrial clusters employing organizational distance. Within the analytical framework of the duopoly model, the impact of organizational distance and patent licensing fees on the innovative performance of a high-tech industrial cluster is studied. The findings indicate that the export-oriented open innovation model is more appropriate for the innovation of high-tech industry clusters. There is a significant relationship between organizational distance and the R&D spillovers of businesses. Increased patent fees can encourage industry clusters to adopt an open innovation model with an outward orientation if they are located in close proximity to each other. Further research analyzed the effect of organizational distance on the selection of an open innovation mode employing an evolutionary game model and indicated that geographical proximity would encourage enterprises to adopt open innovation export strategies. The conclusion of this study has both theoretical and practical ramifications for the independent innovation of high-tech industry clusters.

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Behavioral Analysis of Subjects for Green Technology Innovation: A Tripartite Evolutionary Game Model

Cited by 10 publications

References 27 publications

The Impact of Environmental Regulations on Green Collaborative Innovation in China: An Analysis Based on an Evolutionary Game Perspective

The Impact of Environmental Regulations on Green Collaborative Innovation in China: An Analysis Based on an Evolutionary Game Perspective

Does Technological Innovation Efficiency Improve the Growth of New Energy Enterprises? Evidence from Listed Companies in China

Evolutionary Game Analysis on Impacts of Organization Distance on Open Innovation Mode Selection of High-Tech Industrial Clusters

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