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协同创新、知识溢出的演化博弈机制研究

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  • 肇庆学院经济与管理学院, 广东 肇庆 526061
张华(1980-),男(汉族),辽宁大连人,肇庆学院经济与管理学院,讲师,研究方向:技术创新理论与方法,E-mail:sonicme@foxmail.com

收稿日期: 2013-12-03

  修回日期: 2014-07-28

  网络出版日期: 2016-02-25

基金资助

国家社会科学基金资助项目(14BGL011);广东省自然科学基金资助项目(2014A030310247)

Study on Evolutionary Game Mechanism of Collaborative Innovation and Knowledge Spillover

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  • School of Economics and Management, Zhaoqing University, Zhaoqing 526061, China

Received date: 2013-12-03

  Revised date: 2014-07-28

  Online published: 2016-02-25

摘要

基于演化博弈理论,研究企业、大学和科研机构间协同创新过程的"演化稳定策略"。通过设计知识共享模型分析知识投入与知识溢出对协同创新的影响并进行仿真检验。研究认为,长期的协同创新中"合作"策略是参与方采用的"演化稳定策略";当参与方数量不同时,小群体一方率先实现"合作"策略稳定,群体数量相近时双方采用"合作"策略的收敛速度趋于一致;增加知识溢出有利于提高协同创新效率与稳定性。在理论上解释了协同创新博弈的合作策略稳定性,为产学研合作的机制设计提供决策参考。

本文引用格式

张华 . 协同创新、知识溢出的演化博弈机制研究[J]. 中国管理科学, 2016 , 24(2) : 92 -99 . DOI: 10.16381/j.cnki.issn1003-207x.2016.02.012

Abstract

Based on evolutionary game theory, the evolutionary stable strategy(ESS) is studied in this paper to analyze the process of collaborative innovation between firms and universities(research institutions). A knowledge sharing model driven by knowledge input and spillover is built to depict the game process of collaborative innovation, then a simulated analysis of evolutionary game is done. Study shows that, cooperation strategy is the ESS that adopted by participants in long-term collaborative innovation; when the group size of participants are different, participants in small group will achieve stable cooperation strategy more rapidly; while the group size of participants are similar, there are the same convergence speed of cooperation strategy in each group; increasing knowledge spillover is conducive to improving the efficiency of collaborative innovation and makes it steadily. Theoretical explanation is given for the existence of ESS in collaborative innovation, which contribute some decision support for mechanism design of university-industry collaboration.

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