基于DID和SDID的科技专项资助与企业科技成果关系研究——以珠三角为例
DOI:
作者:
作者单位:

作者简介:

通讯作者:

基金项目:


Research on the Relationship between Directional Funding of Technology and Science and Scientific Outputs of Enterprises Based on DID and SDID: Taking the example of Pearl River Delta
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    科技专项资助作为企业创新发展的重要资源之一,对企业的科研成果产出因果效应还不明晰。基于因果推断理论,以珠三角地区受到应用研究项目资助和基础研究项目资助的企业为样本,运用双重差分法(DID)和合成双重差分法(SDID)探究科技专项资助与企业科技成果产出的关系。研究发现,应用研究项目和基础研究项目资助均提升了企业的科研成果产出数量,经过平行趋势检验、安慰剂检验、更换被解释变量检验、异质性检验等一系列检验后结论依然稳健;相较于受到基础研究项目资助的企业,受到应用研究项目资助的企业产出了更多的科研成果;相较于近年来被广泛应用的政策评价方法DID,SDID表现出了更好的稳健性。

    Abstract:

    Directional funding of technology and science is one of the most important resource for the technological innovation of enterprises. However, the influence of this kind of funding on enterprises in scientific outputs is not very clear. Based on causal inference, the impact of applied research funding and basic research funding on scientific outputs of enterprises was investigated to evaluate the promotion of directional funding of technology and science through difference-in-difference and synthetic difference-in-difference method. The conclusions are as follows. Applied research and basic research funding boosts the number of scientific outputs of enterprises. This conclusion is robust with parallel trend test, placebo test, replacement of explained variables and other tests. Compared with enterprises funded by basic research, the enterprises with applied research funding have more scientific outputs. Compared with the broadly used method of policy evaluation -- difference-in-difference, the recent estimator -- synthetic difference-in-difference, has desirable robustness properties.

    参考文献
    相似文献
    引证文献
引用本文

何露雪,林力佳,郭利.基于DID和SDID的科技专项资助与企业科技成果关系研究——以珠三角为例[J].科技与产业,2023,23(11):89-97

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-07-11
×
《科技和产业》
喜报 | 学会期刊《科技和产业》成为国家哲学社会科学文献中心2024年度最受欢迎的经济学期刊