| 基于演化博弈视角的绿色创新产学研合作研究 |
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| 引用本文： | 杨朝均,张广欣,毕克新.基于演化博弈视角的绿色创新产学研合作研究[J].科技管理研究,2019,39(17):226-233. |
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| 作者姓名： | 杨朝均 张广欣 毕克新 |
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| 作者单位： | 昆明理工大学管理与经济学院,云南昆明,650093;哈尔滨工程大学经济管理学院,黑龙江哈尔滨 150001;哈尔滨理工大学管理学院,黑龙江哈尔滨150080 |
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| 基金项目： | 国家自然科学基金资助项目(71502074,71774037,71472057)；云南省哲学社会科学规划项目(YB2016014)；国家社科基金(18BJY081) |
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| 摘 要： | 为全面地对绿色创新产学研合作的内在机理进行探究,基于有限理性的演化博弈理论,考虑绿色创新产学研合作的关键影响因素,构建绿色创新产学研合作演化博弈模型,根据复制动态方程得到不同情景下的演化理想状态,并借助MATLAB软件深入剖析模型的关键影响因子对演化稳定状态的影响。研究结果表明:绿色创新产学研合作的初始状态对系统的收敛速度及方向影响显著,违约罚金、合作超额收益、成本分摊比例、主体技术吸收能力和绿色收益等多种因素影响绿色创新产学研合作的演化结果。
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| 关 键 词： | 产学研合作 演化博弈 稳定策略 绿色创新 |
| 收稿时间： | 2018/11/10 0:00:00 |
| 修稿时间： | 2019/8/21 0:00:00 |
Research on Green Innovation Industry-University-Research Cooperation Based on Evolutionary Game Theory |
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| Yang Chaojun,Zhang Guangxin,Bi Kexin.Research on Green Innovation Industry-University-Research Cooperation Based on Evolutionary Game Theory[J].Science and Technology Management Research,2019,39(17):226-233. |
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| Authors: | Yang Chaojun Zhang Guangxin Bi Kexin |
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| Institution: | (School of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China;School of Economics and Management, Harbin Engineering University, Harbin 150001, China;School of Management, Harbin University of Science and Technology, Harbin 150080, China) |
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| Abstract: | In order to comprehensively analyze the internal mechanism of green innovation industry-university-research cooperation, the article is based on the evolutionary game theory of bounded rationality, considering the key influencing factors constructed a green innovation industry-university-research cooperation evolution game model, according to the replication dynamics.,the equation obtains the ideal state of evolution under different scenarios, and uses Matlab to deeply analyze the influence of the key influence factors of the model on the evolutionary stability state. The results show that the initial state of green innovation industry-university-research cooperation has a significant impact on the convergence speed and direction of the system. The factors such as breach of contract penalty, cooperative excess return, cost sharing ratio, technology absorption capacity and green income affect the evolutionary result of green innovation industry-university-research cooperation. |
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| Keywords: | industry-university-research cooperation evolutionary game stability strategy green innovation |
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