长江中游城市群城市创新差异的时空格局演变

以专利申请总量为主要指标,采用地理集中指数和马尔可夫链方法,从时间、空间和地理临近性视角来分析2000~2014年长江中游城市群城市创新差异的时空格局演变。研究结果表明:(1)城市群城市创新差异呈现由高度集中向渐进式分散,由核心城市向外围城市缓慢扩散的演变趋势,出现高水平和低水平趋同俱乐部强化锁定,中低水平趋同俱乐部局部变动的趋势。(2)城市群城市创新类型发生空间转移与城市创新发展水平紧密相关,城市创新发展水平差距越小,发生转移的概率越高;反之,发生转移的概率越低;(3)邻域创新环境影响城市群城市创新差异的演变,地理临近性在低水平、中低水平城市创新类型表现不明显,而在中高水平城市创新类型显著增加。

THE TEMPORAL AND SPATIAL EVOLUTION OF CITY INNOVATION DIFFERENCES IN URBAN AGGLOMERATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER

This research was conducted to analyze the evolution of the spatial and temporal pattern in Middle Yangtze River urban agglomeration from 2000 to 2014, using the amount of patent applications as Geographic Concentration Index and Markov chains method from the perspective of time, space and geographical proximity. The study finds out (1) Differences of city innovation in urban agglomeration indicate the tendency that innovation occurrence shifts from highly concentrated to the gradual dispersion, from the core cities to the peripheral city. They also indicate the tendency that there exists high- and low-level convergence reinforcement lock, accompanied with local variation in middle level cities city club convergence; (2) the shift of city innovation patterns in urban agglomeration is correlated with the development levels of city innovation. The narrower the gap between the development levels of city innovation is, the greater probability of shift is, and vice versa; (3) the neighbor Innovative environment has an influence on the temporal and spatial evolution of city innovation differences in urban agglomeration. The geographical proximity effect is not obvious at low and middle level of city innovation type, while it increases significantly at middle and high level.