原始创新对经济增长贡献的省域空间差异

The Spatial Contribution Differences of China's Provincial Original Innovation to Economic Growth

通过全局熵值法、BGWR(Bayesian Geographically Weighted Regression,贝叶斯地理加权回归)模型和基尼系数分解法的综合运用,对中国原始创新对经济增长贡献的省域空间差异进行了测度。研究结果表明:2010—2012年,中国省域原始创新能力总体呈增长态势,但在绝对水平和增长速度方面均存在一定的空间非均衡现象。平均而言,中国省域原始创新对经济增长的贡献率约为7.38%,东部地区高于中、西部地区,且在各省域间存在一定的空间差异。目前该差异主要表现为东、中、西部三大地区的区域间差异,三大区域内部所产生的差异对总体空间差异贡献度较小。

Through the integrated use of Global Entropy Value Method,Bayesian Geographically Weighted Regression Model and Gini Coefficient Decomposition Method,China＇s provincial contribution of original innovation to economic growth is analyzed from the angle of spatial differences in this paper. The results show that China＇s provincial original innovation ability is enhanced rapidly from 2010 to 2012,and the disequilibrium phenomena also exist in its absolute level and velocity. Meanwhile,it is found that China＇s average provincial contribution of original innovation to economic growth is about 7.38%. The average provincial contribution of original innovation to economic growth in Eastern Region of China is higher than those of others. It is the regional differences among Eastern Region,Central Region and Western Region that play a major role in explaining the spatial differences of China＇s provincial contribution of original innovation to economic growth,not the regional internal differences of these three regions.