2022
DOI: 10.1007/s11356-022-20772-3
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Collaborative evolution of regional green innovation system under the influence of high-speed rail based on Belousov-Zhabotinsky reaction

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Cited by 6 publications
(1 citation statement)
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“…Although existing studies have recognized that the evolution of the innovation ecosystem is not only affected by a single type of factors, but also by the interaction, existing studies have not yet formed a unified view on the evolution of the innovation ecosystem's driving force. In terms of effect evaluation, some scholars analyze the synergistic evolution of regional green innovation system under the influence of high-speed rail through linear stability based on the B-Z response model [17]; some scholars use data envelopment analysis to study the efficiency of industry-university-research collaborative innovation in order to enhance the green innovation capacity of the national innovation system [18]; some scholars construct a Logistic model to explore the dynamic synergistic evolution mechanism of green technology innovation system based on the innovation value chain [19].Research has been carried out on the collaborative evolution of the energy innovation system to carry out in-depth discussions, and energy innovation system innovation subjects in the cooperation process is not completely rational, will be based on the scenario of multiple learning and adjustment, and the evolution of the game theory emphasizes the "finite rationality" and the analysis of the dynamic evolution process, although some scholars have used the evolution of the game to analyze the green technological innovation of the Although some scholars have used evolutionary games to analyze the driving role of green technology innovation [20], there are few evolutionary games involving dual-chemical synergy in energy innovation systems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although existing studies have recognized that the evolution of the innovation ecosystem is not only affected by a single type of factors, but also by the interaction, existing studies have not yet formed a unified view on the evolution of the innovation ecosystem's driving force. In terms of effect evaluation, some scholars analyze the synergistic evolution of regional green innovation system under the influence of high-speed rail through linear stability based on the B-Z response model [17]; some scholars use data envelopment analysis to study the efficiency of industry-university-research collaborative innovation in order to enhance the green innovation capacity of the national innovation system [18]; some scholars construct a Logistic model to explore the dynamic synergistic evolution mechanism of green technology innovation system based on the innovation value chain [19].Research has been carried out on the collaborative evolution of the energy innovation system to carry out in-depth discussions, and energy innovation system innovation subjects in the cooperation process is not completely rational, will be based on the scenario of multiple learning and adjustment, and the evolution of the game theory emphasizes the "finite rationality" and the analysis of the dynamic evolution process, although some scholars have used the evolution of the game to analyze the green technological innovation of the Although some scholars have used evolutionary games to analyze the driving role of green technology innovation [20], there are few evolutionary games involving dual-chemical synergy in energy innovation systems.…”
Section: Literature Reviewmentioning
confidence: 99%