科技公共服务效率对区域创新能力的影响——基于省级动态面板数据的GMM分析

Research on The Effect of Science and Technology Public Service Efficiency on Regional Innovation Ability: GMM Analysis Based on Provincial Dynamic Panel

摘要:

科技公共服务效率对区域创新能力提升起到重要作用。构建科技公共服务效率评估指标体系，基于中国30个省市2008—2016年的面板数据，采用DEA-Malmquist指数法测算各省市科技公共服务效率，并通过静态、差分GMM和系统GMM动态面板数据模型实证分析科技公共服务效率对区域创新能力的影响。研究发现，科技公共服务效率对区域创新能力存在正向滞后效应；区域创新能力本身存在累积效应，前期创新能力是当期创新的基础；市场化程度、城镇化和人力资本水平对区域创新能力具有显著正向影响。替换区域创新能力指标后结果依然稳健。最后基于实证结果提出相应的政策建议。

Abstract:

Science and technology public services plays an important role in promoting regional innovation ability. Based on the panel data of 30 provinces and cities in China, this article constructed the efficiency evaluation index system of science and technology public service, and used the DEA-Malmquist index method to measure the efficiency of science and technology public services in various regions. This paper empirically examined the effect of science and technology public service efficiency on regional innovation ability by static, differential GMM and system GMM dynamic panel data models. It was found that the efficiency of science and technology public service has a positive lag effect on regional innovation capacity; the regional innovation capacity itself has a cumulative effect, and early innovation ability is the basis of current innovation. The level of marketization, urbanization and human capital have a significant positive impact on regional innovation ability. After replacing different regional innovation capability measurement indicators, the results were still robust. Finally, based on the empirical results, the corresponding policy recommendations were put forward.