›› 2017, Vol. 29 ›› Issue (1): 105-113.

• 组织与战略管理 • 上一篇    下一篇

知识资源、研发投入与企业跨境创新绩效关系研究——基于面板数据门限回归的实证分析

任洪源1, 刘刚2, 罗永泰1   

  1. 1. 天津财经大学商学院, 天津 300222;
    2. 中国人民大学商学院, 北京 100872
  • 收稿日期:2016-07-08 出版日期:2017-01-28 发布日期:2017-03-16
  • 通讯作者: 刘刚(通讯作者),中国人民大学商学院教授,博士生导师,博士。
  • 作者简介:任洪源,天津财经大学商学院博士研究生;罗永泰,天津财经大学商学院教授,博士生导师,博士。
  • 基金资助:

    教育部人文社会科学研究项目(07JHQ0048)。

Study on the Relationships between Knowledge Resource, R&D Investment and Cross-border Innovation Result——An Empirical Analysis Based on Panel Threshold Regression

Ren Hongyuan1, Liu Gang2, Luo Yongtai1   

  1. 1. School of Business, Tianjin University of Finance and Economics, Tianjin 300222;
    2. School of Business, Renmin University of China, Beijing 100872
  • Received:2016-07-08 Online:2017-01-28 Published:2017-03-16

摘要:

本研究利用资源基础和制度理论,运用面板数据门限回归模型,检验了知识资源、研发投入与企业跨境创新绩效的关系。通过收集2003-2013年科技类跨国上市企业的跨境创新数据进行实证分析,研究发现跨国企业的境外知识资源与研发投入正向影响跨境创新绩效,但存在知识资源门限;制度距离对研发投入的跨境创新绩效影响有抑制作用,且显著提高了跨境创新效率的知识资源门限。本研究还分析了跨国企业在不同制度距离条件下创新资源基础间的交互影响作用,丰富了资源基础理论。同时,基于研究结论,针对提升跨国企业跨境创新水平和加强政府部门管理提出对策建议。

关键词: 知识资源, 研发投入, 跨境创新绩效, 制度距离

Abstract:

Panel threshold regression analysis is used to test the relationships between knowledge resource, R&D investment and cross-border innovation result. Based on an empirical analysis of the data on the transnational science and technology listed enterprises for cross-border innovation from 2003 to 2013, the study finds that the knowledge resource and R&D investment has a positive effect on the cross-border innovation result, but there is a threshold of knowledge resource. The institutional distance can cause the inhibition to the R&D investment's effect on the cross-border innovation result and improve the knowledge resource threshold of the cross-border innovation efficiency. The study also analyzes the mutual influencing among different innovation resource bases of transnational enterprises based on different conditions of institutional distance. Suggestions for improving transnational enterprises' innovation ability as well as the government management are proposed based on those conclusions.

Key words: knowledge resource, R&D investment, cross-border innovation result, institutional distance