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人口结构对我国区域创新影响的空间计量分析
Spatial Econometric Analysis of the Impact of Population Structure on Regional Innovation in China
【摘要】 经济发展到一定阶段后,人口成为影响创新力的第一因素,也成为推动经济发展的重要动力。明确人口结构与创新的关系对建设创新型国家具有重要意义。基于我国30个省市区2008—2017年的面板数据,运用数据包络分析法测度各省市区的区域创新能力,再通过探索性空间数据分析法得出区域创新能力存在空间自相关性,从而建立空间计量模型,从人口的城乡结构、产业结构、教育结构、年龄结构和人口密度五个方面探索人口结构对区域创新能力的影响。结果表明,高等教育人口结构对区域创新能力的促进作用最为显著,其次是城镇人口、人口密度和第二产业人口结构;劳动年龄人口结构对区域创新能力的影响不显著;省域创新能力具有显著的正向空间溢出效应。
【Abstract】 When the economy develops to a certain stage, the population has become the first factor influencing innovation and has become an important driving force for economic development. Defining the relationship between population structure and innovation is of great significance for building an innovative country.Based on provincial panel data from 2008 to 2017, this paper used data envelopment analysis to measure the regional innovation ability of each province, then verified the spatial correlation of regional innovation capability through exploratory spatial data analysis,and established a spatial econometric model to explore the impact of population structure on regional innovation capabilities from urban-rural structure, industrial structure,e ducational structure,age structure and population density.The results show that the higher education population structure has the most significant effect on promoting regional innovation capacity,followed by the urban population,population density,and secondary industry population structure; the labor population structure has no significant effect on regional innovation capacity; provincial innovation capacity has a significant positive spatial spillover effect.
【Key words】 population structure; regional innovation; spatial correlation; spatial measurement model;
- 【文献出处】 燕山大学学报(哲学社会科学版) ,Journal of Yanshan University(Philosophy and Social Science) , 编辑部邮箱 ,2021年01期
- 【分类号】C924.2;F124.3
- 【被引频次】6
- 【下载频次】604