区域创新投入与创新绩效的关系及地方政府科技创新支持下的最优转化区间研究

Research on the Relationships Between Regional Innovation Input and Innovation Performance and the Optimal Transformation Range of Local Government Science and Technology Innovation Support

摘要:

本文为明确区域创新投入与创新绩效间的作用机制进行实证研究。本文基于我国31省2010-2021年的面板数据，分别采用面板回归和门槛模型研究两个问题，一是总体上，区域创新投入是否对创新绩效有正向影响；二是不同的地方政府科技创新支持水平是否会影响区域创新投入与创新绩效之间的关系，是否存在最优的地方政府科技创新支持水平区间。研究结果显示，区域创新投入对创新绩效有正向影响，且存在东部、中部、西部的区域异质性特征，中部相关系数最高，西部最低；不同的地方政府科技创新支持水平下，区域创新投入与创新绩效之间存在显著的双门槛效应，当地方政府科技创新支持处于中等水平时，区域创新投入向创新绩效转化效率最高，但目前我国31个省地方政府科技创新普遍处于高水平。因此提出政策建议，一方面要持续坚持区域创新投入并考虑区域异质性特征；另一方面在经济复苏压力下地方政府应优化调整创新资源配置，从以前的关注区域创新投入数额转向关注转化效率。

Abstract:

This paper made empirical researches on the mechanism between regional innovation investment and innovation performance.Based on panel data of 31 provinces in our country from 2010 to 2021, this paper used panel regression and threshold model to study two issues. The first one was, whether the regional innovation investment had a positive impact on innovation performance in general; The second one was whether different levels of local government science and technology innovation support will affect the relationship between regional innovation investment and innovation performance, and whether there was an optimal level of local government science and technology innovation support. The results showed that regional innovation investment had a positive impact on innovation performance, and there was regional heterogeneity in the east, middle and west, with the highest correlation coefficient in the middle and the lowest in the west. Under different levels of local government science and technology innovation support, there was a significant double threshold effect between regional innovation input and innovation performance. The transfer efficiency of regional innovation investment to innovation performance was the highest in the middle support range. But at present our country 31 provinces local government science and technology innovation support were generally in the high level. Therefore, the policy recommendations were as follows, on the one hand, we should continue to insist on regional innovation investment and take into account the characteristics of regional heterogeneity; on the other hand, under the pressure of economic recovery, local governments should optimize and adjust the allocation of innovation resources, and pay more attention to transformation efficiency than the amount of regional innovation input just as previous.