CAJ | 학술논문

基于现有研究忽视区域之间空间效应的缺陷,本文通过运用空间计量经济学的分析方法对中国区域创新的收敛性进行了研究。空间自相关Moran＇s I检验显示,中国区域创新在空间上存在显著的空间自相关性,具有明显的集群趋势;纳入空间效应的中国区域创新收敛性估计结果发现,1990—2008年间中国区域创新不存在绝对β收敛,但存在条件β收敛,并且经济发展水平、人力资本、研发投入和对外开放程度均是促进中国区域创新收敛的重要因素。
기우현유연구홀시구역지간공간효응적결함,본문통과운용공간계량경제학적분석방법대중국구역창신적수렴성진행료연구。공간자상관Moran＇s I검험현시,중국구역창신재공간상존재현저적공간자상관성,구유명현적집군추세;납입공간효응적중국구역창신수렴성고계결과발현,1990—2008년간중국구역창신불존재절대β수렴,단존재조건β수렴,병차경제발전수평、인력자본、연발투입화대외개방정도균시촉진중국구역창신수렴적중요인소。
Since Ramsey firstly studied the regional convergence based on the neo-classical economic framework in the early 1900s, the topic had become an important topic for regional evaluative economists. For instance, the convergence of technological innovation activities largely determines the degree of regional economic convergence and their influence has attracted attention from many scholars.However, existing research on the regional innovation convergence has ignored spatial interactions among regions which can not reveal spatial characteristics of regional innovation convergence. The paper studies regional innovation convergence of China by using the spatial econometrics analysis method from the perspective of spatial effect. The Moran＇s I spatial autocorrelation test shows that there is significant spatial autocorrelation on the regional innovation in China. This finding shows that there are significant spillover and diffusion effects on the regional innovation of China. However, the OLS analysis method previously used to estimate regional innovation convergence of China may have biased the results. Therefore, we shouldn＇t overlooked the potential spatial effect while testing regional innovation convergence of China. The diagnostic test results of spatial econometric model show that the spatial error model （SEM） is more suitable to estimating the regional innovation convergence of China than the spatial lag model （SAR）. SEM test shows that regional innovation of China does not show an absolute G-convergence between 1990 and 2008, but it shows conditional 15-convergence. Moreover, economic development level, human capital, R＆D investment, and openness are important factors to promote regional innovation convergence in China. The test results of regional innovation convergence in China reflect the implementation of non-balanced development strategy, the economic development strategy of western regions, and revitalizing old industrial bases in the northeastern region. After 1999, the rising of central China and other regional development strategy have had a profound impact on the structure of regional innovation in China. Due to the implementation of non-balanced, regional development strategy, such as implementing the Science and Technology System in the 1990s, those regions with comprehensive human capital, foreign investment, R＆D investment and economic development increase their innovation in the market-oriented system which leads to the accelerated trend of regional innovation in China. Other regional development strategies similar to this strategy include developing western regions, and revitalizing old industrial bases in northern regions. The human capital, foreign investment, R ＆ D investment and economic development of the regions with weak innovation haven＇t been enhanced. Therefore, in order to gradually narrow the gap of regional innovation among China regions, we have to emphasize on the promotion of regional human capital, foreign investment, R ＆ D investment and economic development.