›› 2020, Vol. 32 ›› Issue (3): 97-109.

• 技术与创新管理 • 上一篇    下一篇

上市公司社会网络位置与研发效率研究——基于三阶段DEA模型的方法

陈伟1, 魏轩1, 李金秋1, 冯志军1,2   

  1. 1. 哈尔滨工程大学经济管理学院, 哈尔滨 150001;
    2. 东莞理工学院经济与管理学院, 东莞 523000
  • 收稿日期:2017-06-16 出版日期:2020-03-28 发布日期:2020-04-08
  • 通讯作者: 魏轩(通讯作者),哈尔滨工程大学经济管理学院博士研究生
  • 作者简介:陈伟,哈尔滨工程大学经济管理学院教授,博士生导师,博士;李金秋,哈尔滨工程大学经济管理学院博士研究生;冯志军,东莞理工学院经济与管理学院副教授,博士
  • 基金资助:

    国家社会科学基金项目(14BGL007);哈尔滨工程大学中央高校基本科研业务费专项资金项目(HEUCFW170906)。

Study on the Relationship between Enterprises Social Network Position and R&D Efficiency: Based on the Method of Three-stage DEA Model

Chen Wei1, Wei Xuan1, Li Jinqiu1, Feng Zhijun1,2   

  1. 1. School of Economics and Management, Harbin Engineering University, Harbin 150001;
    2. School of Economics and Management, Dongguan University of Technology, Dongguan 523000
  • Received:2017-06-16 Online:2020-03-28 Published:2020-04-08

摘要:

本研究主要关注企业所嵌入的社会网络环境对企业研发效率的短期和长期影响,以及我国上市公司实际研发效率评价问题。很多企业都在研发活动中有意识地通过企业社会网络开发自己的外部知识资源,但当前的研究在社会网络对研发效率的影响方向上,存在一定的争议。为了研究处于不同社会网络位置的企业研发效率受到的影响,本文构建了我国上市公司的二模社会网络模型,并采用网络中的178家上市公司的相关数据,结合其研发投入产出数据建立了同时考虑网络位置时滞和投入产出时滞的三阶段DEA模型。实证分析结果表明,社会网络位置对上市企业的研发效率有显著的影响,但社会网络位置的不同方面对研发效率具有不同的影响,企业拥有的社会网络连接的数量指标(如点度、结构洞比重)对研发效率主要形成短期的影响,企业在社会网络中与其他节点之间的密切度指标(如接近度、中介中心性)则对研发效率有长期影响;并且不同性质的上市公司所处的社会网络位置对研发效率的影响有所不同。最后本文结合现有的理论对实证结果做出了总结。

关键词: 社会网络位置, 上市公司, 研发效率, 三阶段DEA

Abstract:

This study is mainly concerned with the short-term and long-term impact of social networking environment on R&D efficiency of enterprises, and the evaluation of actual R&D efficiency of listed companies in China. Many enterprises are consciously developing their own external knowledge resources in R&D activities. However, there are some debates about the direction of social network's impact on R&D efficiency. In order to study the different influence on the R&D performance of firms which are in different positions of social network, this paper constructs a two-mode social network model of the listed companies in China, and 178 listed companies' R&D performances are analyzed by a three-stage DEA model which considers time lag of both the network location indicators and the input-output indicators. The results show that the social network position has a significant effect on the listed enterprise' R&D performance, but different indicators of social network position have different effects, in particular, the number of the social network connections of the firm (such as degree and structural holes) has a short-term impact on R&D performance, and the centrality of the firm in the network (such as closeness and betweenness) has a long-term effect on the R&D performance. At the end of the study, we sum up the empirical results by use of some existing theories.

Key words: social network position, listed companies, R&D performance, three-stage DEA