创新驱动转型发展能力的影响因素分析——基于省级面板数据的实证研究

Analysis of Factors Affecting Innovation-Driven Economic Transformation Capability——Empirical Research Based on Provincial Panel Data

我国各省市创新驱动转型发展水平存在很强的空间相关性,且空间分布具有显著的空间集聚特征。本文选取经济发展水平、研发投入水平、城市化水平、对外开放水平和政府扩张能力这五个影响因素,选择带有时间固定效应的空间杜宾模型实证检验了省域创新驱动转型发展水平的影响关系。结果表明:本地区经济发展水平提高、研发投入增加将会显著提升其创新驱动转型发展水平,而且其他空间相关省市的创新驱动转型发展水平和研发投入水平的提高也能够促使本地区创新驱动转型发展水平的提升。

There is strong spatial correlation between the level of innovation-driven economic transformation in China’s provinces and cities.Besides,spatial distribution shows significant spatial agglomeration characteristic.In this paper,we select five influencing factors:Economic development level,R&D investment level,urbanization level,opening-up level and government expansion ability,and make an empirical test on the correlation between provincial innovation-driven and economic transformation level through SDM with time-fixed effect.The results show that the improvement of economic development level and the increase of R&D investment in one region will significantly enhance its innovation-driven and economic transformation level,and the improvement of innovation-driven and economic transformation level and the increase of R&D investment level in other spatial correlated regions’can also promote the region’s innovation-driven and economic transformation level.