Operations Research and Management Science ›› 2018, Vol. 27 ›› Issue (12): 47-56.DOI: 10.12005/orms.2018.0278

• Theory Analysis and Methodology Study • Previous Articles     Next Articles

Research on Co-evolution Mechanism and Optimum Design of Regional Innovation System

MA Yong-hong1, SU Xin1, ZHAO Yue2   

  1. 1.School of Economics and Management, Harbin Engineering University, Harbin 150001, China;
    2.School of Economics and Management, Northeast Forestry University, Harbin 150040, China
  • Received:2017-11-09 Online:2018-12-25

区域创新系统协同演化机制与优化设计研究

马永红1,苏鑫1,赵越2   

  1. 1.哈尔滨工程大学 经济管理学院,黑龙江 哈尔滨 150001;
    2.东北林业大学 经济管理学院,黑龙江 哈尔滨 150040
  • 作者简介:马永红(1971-),女,黑龙江肇州人,教授,博士生导师,研究方向:科技创新与管理创新;苏鑫(1987-),女,黑龙江省双鸭山人,博士研究生,研究方向:技术创新与创新扩散;赵越(1987-),女,河北秦皇岛人,博士研究生,研究方向:产业经济学。
  • 基金资助:
    国家自然科学基金资助项目(71373060);国家社会科学基金重点资助项目(14GL004);黑龙江省社会科学基金资助项目(13D011);黑龙江省自然科学基金资助项目(G201404)

Abstract: In order to reveal the essence and law of the co-evolution mechanism of regional innovation system, based on the description of the self-organization characteristics on it, the paper selects the datum of basic generic technology innovation and institution innovation to do an empirical research, uses Minitab software to design system evolution plan and puts forward optimization measures. The results show that the representative quantity of basic generic technology innovation is the order parameter of the regional innovation system dynamic evolution; the basic generic technology innovation and the institution innovation have a synergistic effect on the evolution of regional innovation system, but the synergy is poor; the positive feedback mechanism with institution innovation incremental has the highest signal-to-noise ratio; the basic generic technology innovation can make the fastest response to institution innovation; when the parameterλ2<0 of signal-to-noise ratio is the highest, a positive feedback mechanism of institutional innovation is formed, the parameters of a ,b,λ1 should be less than 0 and try to keep the absolute value of parameter a maximum, and the regional innovation system will achieve the optimal level of evolution.

Key words: regional innovation system, co-evolution, Haken model, optimum design

摘要: 为揭示区域创新系统协同演化机制的本质与规律,在对区域创新系统自组织特征予以描述的基础上,构建区域创新系统协同演化的哈肯模型,选用基础共性技术创新数据与制度创新数据进行实证研究,运用Minitab软件设计系统演化方案并提出优化对策。研究结果表明:基础共性技术创新代表量是区域创新系统动态演化的序参量;基础共性技术创新与制度创新在区域创新系统演化过程中具有协同效应,但协同度欠佳;制度创新递增的正反馈机制在区域创新系统演化过程中的信噪比最大,基础共性技术创新对制度创新推动作用的反映最灵敏;当信噪比最大的参数λ2<0,形成制度创新递增的正反馈机制,同时调控参数使得a、b、λ1均小于0且尽量保持a的绝对值最大,区域创新系统将会实现最优演化水平。

关键词: 区域创新系统, 协同演化, 哈肯模型, 优化设计

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