自然资源、人力资本与区域创新能力

Natural Resources、Human Capital and Regional Innovation Capacity——Based on SpatialSPanelSDataSEconometricSModel’ Analysis

摘要:

利用中国2000-2015年30个省市的数据,基于空间面板计量模型,研究了自然资源丰裕度、人力资本对区域创新能力的影响。研究表明：(1)自然资源、人力资本和区域创新能力各指标变量都通过了莫兰检验,存在空间关联性,模型的最佳形式为固定效应下的空间杜宾模型；(2)丰裕的自然资源不利于提升区域创新能力,即存在创新资源诅咒,而人力资本积累有助于提升区域创新能力,控制变量人均GDP增加和人均财政科技支持有利于区域创新能力的提高,但FDI对区域创新能力的影响不显著；(3)临接矩阵、反距离矩阵和社会经济权重矩阵下SDM各变量空间效应都表明,自然资源丰裕度不仅降低了本地区的创新能力水平,和其他省市的创新能力水平也显著负相关。平均受教育年限有利于本地区创新能力的提高,但抑制其他省市创新能力水平。控制变量方面,FDI对本地区创新能力提高影响不显著,但促进临近地区创新能力的提高。人均GDP增加提高了本地区的创新能力,但抑制其他省市的创新,人均财政科技支出增加有利于本地区和临近省市创新能力的提高。

关键词:自然资源;人力资本;区域创新能力;空间杜宾模型

Abstract:

Using China's 30 provinces and cities ’data in 2000-2015, based on spatial Panel Econometrics model, research the impact of natural resources and human capital on regional innovation capability. The results have shown that: (1) natural resources、human capital and regional innovation capacity’ every index variable has Passed Moran's test , there are spatial relevance among them, the best form is spatial Durbin model of fixed effects; (2) the abundant natural resources are not conducive to the promotion of regional innovation ability, the innovation resource curse do exist, but human capital accumulation can improve regional innovation capability, control variables: GDP per capita increased and per capita financial support can improve the regional innovation capacity, but no significant impact of FDI on regional innovation capability; (3) adjacent matrix、inverse distance matrix and the social and economic weight matrix SDM spatial effects all shows that, endowment of natural resources not only reduces the level of innovation capacity in the region, but also the same to provincial and municipal level. Average years of schooling can improve the innovation capacity in the region, but it is detrimental to other provinces innovation ability. Control variables, there is no significant effects of FDI on innovation capacity in its region, however, can promote the improvement of innovation ability in adjacent areas. GDP per capita can increase the innovation capacity in its region, but detrimental to other provinces, increasing of per capita fiscal expenditure on Science and technology benefits the region’s innovative ability and around.

Key words:Natural Resources; Human Capital; Regional Innovation Capacity; Spatial Durbin Model