科技管理创新

公私合作技术创新网络创新绩效影响因素元分析

  • 周贵川 ,
  • 何亚惠 ,
  • 罗文雪 ,
  • 张黎明
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  • (四川大学 商学院,四川 成都 610064)
周贵川(1982—),男,四川成都人,博士,四川大学商学院副教授、硕士生导师,研究方向为企业战略管理与技术创新管理;何亚惠(1993—),女,甘肃定西人,四川大学商学院硕士研究生,研究方向为企业战略与组织管理;罗文雪(1997—),女,四川成都人,四川大学商学院硕士研究生,研究方向为技术创新与文化创意;张黎明(1973—),女,山东郓城人,博士,四川大学商学院教授、博士生导师,研究方向为企业战略变革与品牌管理。本文通讯作者:张黎明。

收稿日期: 2021-02-03

  修回日期: 2021-03-15

  网络出版日期: 2021-07-12

基金资助

国家自然科学基金项目(71702118);成都市科技局软科学项目(2020-RK00-00366-ZF);中央高校基本科研业务项目(2021自研-商学21)

Research on the Influencing Factors of Innovation Performance in the Public-Private Technological Innovation Networks Based on Meta-Analysis

  • Zhou Guichuan ,
  • He Yahui ,
  • Luo Wenxue ,
  • Zhang Liming
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  • (Business School, Sichuan University, Chengdu 610064, China)

Received date: 2021-02-03

  Revised date: 2021-03-15

  Online published: 2021-07-12

摘要

公私合作技术创新网络作为近年来技术创新体制的领先实践广受关注,然而理论界并未对其创新绩效影响因素达成一致结论。为此,运用元分析法对国内外61篇实证文献进行分析,系统总结公私合作技术创新网络创新绩效影响因素,基于研究方法差异探讨现存研究分歧成因。结果发现:企业主体层面R&D投入、技术创新能力和市场能力,政府主体层面政府投资和政策支持,组织间合作层面合作紧密度和知识转移强度,创新环境层面外部投资强度和区域经济发展水平均能够显著提升公私合作技术创新网络创新绩效。另外,研究样本类型、数据来源和绩效测度指标不同均会导致研究结果不一致。该结论可为中国公私合作技术创新网络理论研究和发展实践提供重要科学依据。

本文引用格式

周贵川 , 何亚惠 , 罗文雪 , 张黎明 . 公私合作技术创新网络创新绩效影响因素元分析[J]. 科技进步与对策, 2021 , 38(13) : 1 -10 . DOI: 10.6049/kjjbydc.2021020115

Abstract

Public-Private Technological Innovation Networks (PPTIN), as the pioneering practice of technological innovation system, has attracted extensive attention in recent years. However, there is no consistent conclusion about the influencing factors of innovation performance in PPTIN. Therefore, the meta-analysis method was used to reanalyze 61 empirical literatures, systematically summarizing influencing factors of innovation performance in PPTIN, and discussing the methodological reasons for the divergences of existing research. The results have shown as followed: Firstly, R&D investment, technological innovation capability, market capability of enterprise, government investment, policy support, cooperation-tightness, intensity of knowledge transfer between organizations, intensity of outside investment and level of regional economic development can significantly promote innovation performance in PPTIN; Secondly, sample types, data sources and performance measurement indicators of research may lead to inconsistent research conclusions. These findings will provide a valuable basis for further theoretical research and practical application in PPTIN in China.

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