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产学研合作中科技投入与产出质量的演化博弈分析
引用本文:侯晓辉,谢祥,黄磊.产学研合作中科技投入与产出质量的演化博弈分析[J].科技管理研究,2020,40(2):130-134.
作者姓名:侯晓辉  谢祥  黄磊
作者单位:北京交通大学科技处,北京 100044;北京交通大学经济管理学院,北京 100044
基金项目:国家自然科学“开放环境下我国高校科技评价体系研究”(71573011);中央高校基本科研业务费项目“信息不对称条件下高校科技创新与风险控制”(2016JBM088)
摘    要:为研究如何促进影响创新发展的核心要素——科技投入和研发质量提升,通过演化博弈方法对科技投入与创新质量进行建模分析,研究科技创新体系中投入主体与研发主体博弈的策略选择机制、投入与质量之间的相互影响及主要影响因素,探索通过管理改进提升创新活力和水平的途径。通过模型分析,推论出改善收益和奖励机制、优化创新环境、提升创新价值对产学研合作的良性发展至关重要,并提出相关政策建议。

关 键 词:产学研  科技投入  质量  演化博弈
收稿时间:2019/1/25 0:00:00
修稿时间:2019/12/18 0:00:00

Evolutionary Game Analysis of Science and Technology Input and Output Quality in Industry-University-Research Cooperation
Abstract:In the cooperation between industry, University and research institutes, the input of science and technology and the quality of R&D are the key factors affecting the development of innovation. Under the policy framework and market environment, the subject of innovation investment and the subject of R&D obtain innovation outcome through cooperation, and gain benefits through the value of the results. Under the condition of incomplete information, the two groups form a dynamic game system. In order to study how to promote investment in science and technology and improve the quality of R&D, this paper uses evolutionary game theory to model and analyze the investment and innovation quality of science and technology, studies the mechanism of strategy selection, the interaction between investment and quality, and the main factors in the game between the input and R&D subjects in the system of science and technology innovation, and explores the ways to improve the innovation vitality and level through management improvement. Through the model analysis, it is concluded that improving the income and reward mechanism, optimizing the innovation environment and enhancing the value of innovation are essential to the healthy development of University-Research cooperation, and policy recommendations are put forward.
Keywords:Industry-University-Research Cooperation  Science and Technology Investment  Quality  Evolutionary Game
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