长江中游城市群城市创新差异的时空格局演变

doi:10.11870/cjlyzyyhj201602004

长江流域资源与环境 >> 2016, Vol. 25 >> Issue (02): 199-207.doi: 10.11870/cjlyzyyhj201602004

长江中游城市群城市创新差异的时空格局演变

肖刚^1,2, 杜德斌¹, 李恒¹, 戴其文³

1. 华东师范大学科技创新与发展战略研究中心, 上海 200062;
2. 南昌大学经济管理学位, 江西南昌 330031;
3. 华东师范大学中国现代城市研究中心, 上海 200062

收稿日期:2015-05-13 修回日期:2015-06-26 出版日期:2016-02-20
通讯作者: 杜德斌,E-mail:dbdu@re.ecnu.edu.cn E-mail:dbdu@re.ecnu.edu.cn
作者简介:肖刚(1977~),男,博士研究生,主要研究方向为城市与区域创新.E-mail:ncxg@163.com
基金资助:
国家自然科学基金"全球创新资源转移的空间过程、格局与机制研究"(41471108);上海市科技发展基金软科学研究项目"企业、大学及政府在'具有全球影响力的科技创新中心'建设中的作用及互动关系研究"(15692180300)

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

XIAO Gang^1,2, DU De-bin¹, Li Heng¹, DAI Qi-wen³

1. East China Normal University, Institute for Innovation and Strategic Studies, Shanghai 200062, China;
2. Economics Management School of Nanchang University, Nanchang 330031, China;
3. East China Normal University, The Center of Modern Chinese City Studies, Shanghai 200062, China

Received:2015-05-13 Revised:2015-06-26 Online:2016-02-20
Supported by:
the National Natural Science Foundation of China (41471108);The soft science research program of Shanghai science and technology development fund (15692180300)

摘要/Abstract

摘要： 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。

关键词: 长江中游城市群, 空间马尔可夫链, 城市创新, 时空格局

Abstract: 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.

Key words: urban agglomeration in the middle reaches of the Yangtze River, spatial Markov chain, city innovation development differences, temporal pattern

中图分类号:

K915

肖刚, 杜德斌, 李恒, 戴其文. 长江中游城市群城市创新差异的时空格局演变[J]. 长江流域资源与环境, 2016, 25(02): 199-207.

XIAO Gang, DU De-bin, Li Heng, DAI Qi-wen. THE TEMPORAL AND SPATIAL EVOLUTION OF CITY INNOVATION DIFFERENCES IN URBAN AGGLOMERATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2016, 25(02): 199-207.

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