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

作　　者：刘琼[1] 郭俊华[1] Liu Qiong;Guo Junhua(School of International and Public Affairs,Shanghai Jiaotong University,Shanghai 200030,China)

机构地区：[1]上海交通大学国际与公共事务学院,上海200030

出　　处：《科技管理研究》2021年第15期109-116,共8页Science and Technology Management Research

基　　金：国家社会科学基金重大项目“新形势下进一步完善国家科技治理体系研究”(21ZDA018);上海市哲学社会科学规划课题“上海市需求侧创新政策评估及优化路径研究”(2020BGL006)。

摘　　要：基于2008—2016年我国30个省市的面板数据,构建科技公共服务效率评估指标体系,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。Based on the panel data of 30 provinces and cities in China,this article constructesthe efficiency evaluation index system of science and technology public service,and usesthe DEA-Malmquist index method to measure the efficiency of science and technology public services in various regions.This paper empirically examinesthe effect of science and technology public service efficiency on regional innovation ability by static,differential GMM and system GMM dynamic panel data models.It isfound 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 arestill robust.Finally,based on the empirical results,this paper puts forward the corresponding policy recommendations.

关 键 词：科技公共服务 区域创新 广义矩估计 DEA-MALMQUIST指数 

分 类 号：F124.3[经济管理—世界经济]