政府R&D资助政策对企业共性技术项目决策的影响探究

›› 2019, Vol. 31 ›› Issue (9): 70-80.

政府R&D资助政策对企业共性技术项目决策的影响探究

陈朝月, 许治

华南理工大学工商管理学院, 广州 510640

收稿日期:2016-12-07 出版日期:2019-09-28 发布日期:2019-09-29
通讯作者: 许治(通讯作者),华南理工大学工商管理学院教授,博士生导师,博士
作者简介:陈朝月,华南理工大学工商管理学院博士研究生。
基金资助:
国家自然科学基金项目（71573091）；国家社会科学基金项目（17BGL225）；广东省科技计划项目（2014B010108006）；广东省软科学重点项目（2014A070702003）

The Impact of Government R&D Subsidy Policy on Enterprise Generic Technology Project Decision Making

Chen Chaoyue, Xu Zhi

School of Business Administration, South China University of Technology, Guangzhou 510640

Received:2016-12-07 Online:2019-09-28 Published:2019-09-29

摘要/Abstract

摘要：

对当前中国政府实施的研发资助政策进行科学的检验和评价，是学术界和政策制定者研究的重要命题。通过对广东省2482家高新技术企业数据分析，使用PSM方法与Tobit模型分别研究了政府研发资助政策对企业私人研发投入以及对企业开展共性技术项目决策的影响。结果表明，平均效应而言，政府的直接资助和间接资助均能够提高企业的私人研发投入，企业个体层面而言，直接资助和间接资助对不同企业间同时存在杠杆效应和挤出效应，并且间接资助比直接资助能够更加显著的影响企业开展共性技术项目决策。

关键词: 政府研发资助, 企业私人研发投入, 共性技术, 平均效应

Abstract:

Scientific inspection and evaluation of the current R&D funding policy implemented by the Chinese government is an important proposition for the academic and policy makers. Based on the data of 2482 high-tech enterprises in Guangdong Province, this paper studies the effects of Government R&D policy on private enterprise R&D investment and Generic Technology enterprise project decision-making by using the PSM method and the Tobit model. The results show that the government funded directly and indirectly funding can improve the private enterprise R&D investment of the average effect, direct subsidy and indirect subsidies have leverage effect and crowding out effect in different enterprises of enterprise level, and indirect funding than direct funding can influence the enterprises more significant to carry out the decision-making of generic technology projects.

Key words: government R&D funding, enterprise private R&D investment, generic Technology, average effect

陈朝月, 许治. 政府R&D资助政策对企业共性技术项目决策的影响探究[J]. , 2019, 31(9): 70-80.

Chen Chaoyue, Xu Zhi. The Impact of Government R&D Subsidy Policy on Enterprise Generic Technology Project Decision Making[J]. , 2019, 31(9): 70-80.

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