贵州财经大学学报 ›› 2022 ›› Issue (06): 75-86.

• 工商管理 • 上一篇    下一篇

企业研发外包提升了全要素生产率吗——基于门限回归的实证分析

薛迎迎   

  1. 上海财经大学 公共经济与管理学院, 上海 200433
  • 收稿日期:2022-03-26 出版日期:2022-11-15 发布日期:2022-11-30
  • 作者简介:薛迎迎(1989—),女,江苏淮安人,上海财经大学公共经济与管理学院博士研究生,研究方向为税收理论与政策。
  • 基金资助:
    国家自然科学基金面上项目"中央管控地方建设用地的全要素生产率影响、机制与优化路径"(71973090)。

Does R&D Outsourcing Improve Total Factor Productivity - Empirical Analysis Based on Threshold Regression

XUE Ying-ying   

  1. School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Received:2022-03-26 Online:2022-11-15 Published:2022-11-30

摘要: 在系统梳理企业研发外包对全要素生产率线性与非线性影响作用机理的基础上,从"激励-非线性激励"两个环节,实证检验企业研发外包对全要素生产率的影响效应。结果显示,企业研发外包显著促进了全要素生产率的提升。但受自主研发投入强度、政府支持力度以及人力资本水平因素影响,存在非线性门槛特征。随着自主研发投入强度和人力资本水平的提高,研发外包对全要素生产率的促进作用增强,而随着政府支持力度的提高,这一促进作用在减弱。针对不同所有制、行业类型以及地区分类的异质性检验结果表明,研发外包对全要素生产率的促进作用在非国有企业、资本密集度高的企业以及东中部地区企业中显著更强,且受相关门槛因素的影响,不同分类企业间均存在显著的有差别的门槛特征。

关键词: 研发外包, 全要素生产率, 非参数估计, 门限回归模型

Abstract: On the basis of systematically analyzing the linear and nonlinear effects of R&D outsourcing on total factor productivity, this paper empirically examines the effects of R&D outsourcing on total factor productivity from two aspects of "incentive-nonlinear incentive". The results show that R&D outsourcing significantly promotes total factor productivity; Due to the impact of independent R&D investment intensity, government support and human capital level, there is nonlinear threshold characteristics. With the increase of R&D investment intensity and human capital level, R&D outsourcing plays a stronger role in promoting total factor productivity. As the level of government support increases, the promotion effect weakens. The heterogeneity test for different ownership, industry type and regional classification shows that R&D outsourcing has a significantly stronger effect on total factor productivity in non-state-owned enterprises, companies with high capital intensity and enterprises in east and central China. Affected by relevant threshold factors, there are significant differences in threshold characteristics among enterprises of different categories.

Key words: R&D outsourcing, total factor productivity, nonparametric estimation, threshold regression model

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