创新驱动我国省域绿色增长的空间效应

利用全局主成分分析法测度中国大陆地区30个省市自治区(不含西藏)2003～2016年的绿色增长水平,并构建空间面板杜宾模型,实证考察了知识创新、技术创新、制度创新、文化创新驱动省际绿色增长的空间效应.结果表明,知识创新对绿色增长水平产生显著的正向空间影响,直接效应为2.35×10-5,间接效应为3.75×10-5;本地...

The spatial effect of innovation on provincial green growth in China

In this paper, the global principal component analysis method was utilized to measure the green growth level of 30 provinces (excluding Tibet) in mainland China from 2003 to 2016, and a Spatial Panel Durbin Model was constructed to empirically investigate the spatial impact of knowledge innovation, technology innovation, institution innovation, and culture innovation on provincial green growth. It was showed that knowledge innovation had a significant positive spatial impact on the level of green growth, with a direct effect of 2.35×10^-5 and an indirect effect of 3.75×10^-5. The local green growth level was significantly affected by the level of local technology innovation, with an influence coefficient of 0.1590, and was not significantly affected by the spatial level of technology innovation in the surrounding areas. Besides, it was significantly affected by the local institution innovation with an impact coefficient of 0.00733, whereas an impact coefficient of -0.01617 was for the surrounding areas' institution innovation. Meanwhile, the spatial impact of culture innovation on green growth level was not significant. Therefore, it was recommended to focus on knowledge production, knowledge accumulation and knowledge spillover of the regional green growth-orientation, aiming at promoting the coordinated green development and developing the key role of technology innovation in green growth. It was also suggested to further perfect the intellectual property protection system supporting inter-provincial green growth, intensify the promotion and popularization of green culture. Meanwhile, more human capital should be devoted and industrial structure should be optimized, thus promoting high-level opening up.