• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2017, Vol. 35 ›› Issue (11): 1673-1679.

• 科技管理与知识管理 • 上一篇    下一篇

金融支持对高新技术企业R&D的激励效应研究

马玉琪1,扈瑞鹏1,2,赵彦云1,2   

  1. 1. 中国人民大学统计学院
    2.
  • 收稿日期:2016-12-27 修回日期:2017-04-14 出版日期:2017-11-15 发布日期:2017-11-15
  • 通讯作者: 马玉琪
  • 基金资助:

    经济社会公共数据的空间统计样本数据开发及应用研究

The Study of Incentive Effect of Financial Support on R&D of High-tech Enterprises --Based on Enterprises of Zhongguancun Science Park

  • Received:2016-12-27 Revised:2017-04-14 Online:2017-11-15 Published:2017-11-15
  • Supported by:

    The Development and Application Study on Spatial Sample of Economic and Social Public Data

摘要: 基于2008-2015年中关村海淀科技园高新技术企业普查数据,利用广义倾向得分模型,刻画金融支持强度变化对不同规模和所有制企业R&D支出的动态效应曲线,量化评估金融支持激励高新技术企业R&D的实施效果。研究结果表明:对于大中型和小微型高新技术企业,经营水平、人力资源、科研能力、国有性质及发展年限与其获得的金融支持均具有显著的正向关系;金融支持可有效提升不同规模高新技术企业的研发积极性且都存在边际效应“饱和点”,对小微企业R&D的促进作用总体优于大中企业;进一步细分企业所有制,发现金融支持对非国有性质企业R&D的激励效果更佳,作用范围更广。研究结论为优化金融资源配置,推进科技金融发展提供了一定的政策启示。

Abstract: Based on data of high-tech enterprises in Zhongguancun Haidian Science Park from 2008 to 2015, Generalized Propensity Score model is used in this paper to describe dynamic effect curve of intensity change of financial support on R&D expenditure of enterprises with different size and ownership, quantify and evaluate implementation effect of financial support on stimulating R&D activity of high-tech enterprises. The results reveal that: For high-tech enterprises with different size, management level, human resources, research capacity and state-owned character all have positive relationship with financial support that enterprises receive; Financial support can effectively improve R&D enthusiasm of high-tech enterprises with different sizes and there are “saturation points” of marginal effects ,the incentive effect on small enterprises is generally larger than large and medium-sized enterprises; To further subdivide enterprises ownership, it can be found that incentive effect of financial support on non-state-owned enterprises is more significant and the influence range is larger. The conclusions provide some policy implications to optimize the allocation of financial resources and promote the development of technology finance.