区域协同创新效率测度及其关键要素研究 ——基于静态与动态空间面板的实证分析

Title: Research on efficiency measurement of regional collaborative innovation and its key elements——The empirical analysis based on static and dynamic spatial panel

摘要:

本文收集1998-2016年中国30个省市协同创新效率及关键要素的相关数据,运用DEA模型对区域协同创新效率进行准确测度,并运用静态与动态空间面板模型对其关键要素的影响效应进行实证分析。发现：(1)协同创新效率呈异质性,表现在京津翼地区的效率值明显高于其他地区。(2)关键要素对协同创新效率有不同的影响效应。产业集聚在萌芽阶段的影响不显著为正、在快速发展阶段的影响显著为正,在过度集聚阶段的影响显著为负；研发强度的影响显著为负；人力资本的影响显著为负,吸收能力的影响显著为正；基础设施的影响显著为正；改革深度的短期影响显著为负,长期影响显著为正；外商直接投资的影响显著为负；空间溢出的短期影响显著为正,长期影响不显著为正。在此基础上提出有效促进区域协同创新效率的政策建议。

关键词:区域协同创新;效率测度;关键要素;实证分析

Abstract:

This paper collects relevant data on collaborative innovation efficiency and key elements of 30 provinces and cities in China from 1998 to 2016, using DEA model to measure the regional collaborative innovation efficiency accurately, and using static and dynamic spatial models to conduct empirical analysis on the effect of key elements. Finding: (1) The efficiency of China"s collaborative innovation is heterogeneous, which is shown in Beijing, tianjin and other regions. (2) The key factors have different effects on collaborative innovation efficiency. The influence of industrial agglomeration in the initial stage is not significant positive, the influence in the rapid development stage is significant positive, and the influence in the excessive agglomeration stage is significant negative. The effect of r d intensity was significantly negative. The effect of human capital is significant negative, and the effect of absorptive capacity is significant positive. The impact of infrastructure is significant positive; The short-term impact of the reform depth was significantly negative, while the long-term effect was significantly positive. Foreign direct investment has a significant negative impact; The short-term effect of spillage is significantly positive while the long-term effect is not significantly positive. Based on this, the paper puts forward policy suggestions to effectively promote the efficiency of regional collaborative innovation.

Key words:regional collaborative innovation; efficiency measurement; key elements;empirical analysis