Spatial difference and driving factors of innovation efficiency in new generation information technology industryA case study of major national strategic regions
Taking the major national strategic regions as the breakthrough point,the EBM model is used to measure the innovation efficiency of the new generation information technology industry,and the Da-gum Gini coefficient and geographical detector method are used to investigate the spatial differences,sources and key driving factors of the innovation efficiency of the new generation information technology industry in the major national strategic regions of Beijing-Tianjin-Hebei Economic Circle,Yangtze River Delta,Yangtze River Economic Belt,Yellow River Basin and Greater Bay Area.The study finds that the innovation efficiency of the new generation of information technology industry is fluctuating,but the gradi-ent effect is significant.The Greater Bay Area is in an absolute leading position,and the Beijing-Tianjin-Hebei and Yellow River basins are at a low level.There are significant regional differences in the innova-tion efficiency of the new generation of information technology industry in the five major national strategic regions.The super variable density and intra-regional differences are important sources of spatial imbal-ance.The difference in opening up is the dominant factor in the spatial differences of the Yangtze River Delta,the Yangtze River Economic Belt,and the Yellow River Basin,and the innovation environment has a strong explanatory power for the spatial differences of Beijing,Tianjin and Hebei.The interaction between opening up and the innovation environment is the most important interactive driving combination of the Yangtze River Delta and the Yangtze River Economic Belt.
new generation of information technology industryinnovation efficiencymajor national strategic regionsregional differencesdriving factors
万方数据
