长江中游城市群创新能力的时空动态演化规律研究  

A Study on Spatio-temporal Dynamic Evolution Law of Innovation Capacity in the Urban Agglomeration of the Middle Reaches of Yangtze River

作　　者：易明[1] 高璐[1] 杨丽莎[1] Yi Ming Gao Lu Yang Lisha(School of Economics and Management, China University of Geosciences, Wuhan 430074,Chin)

机构地区：[1]中国地质大学经济管理学院,武汉430074

出　　处：《统计与决策》2017年第5期134-138,共5页Statistics & Decision

基　　金：湖北省软科学基金重点项目(RKF2015000124);湖北省区域创新能力监测与分析软科学研究基地开放基金项目(HBQY2015Y06)

摘　　要：文章运用泰尔熵模型和探索性空间数据分析方法,基于2006—2015年长江中游城市群37个城市的数据,选取专利授权量和户籍人口总量作为衡量创新能力的指标,分析长江中游城市群创新能力的时空动态演化规律。研究发现:该城市群创新能力整体上存在较大的差异,但差异在渐渐减小;H-H型和L-L型城市数量逐渐增加,L-H型城市数量逐渐减少,而H-L型城市基本都是省会城市。The article uses Theil index model and exploratory spatial data analysis method,which based on the data of 37 cities from 2006 to 2015,selects the patent grant and census register population as a measure of the innovation capacity,to analyze the spatio-temporal dynamic evolution law of innovation capacity in the urban agglomeration of the middle reaches of Yangtze river. The conclusion is there are many differences on innovation capacity in the urban agglomeration on the whole,but the difference is gradually decreasing. The amount of H-H type and L-L type cities is increasing,and the amount of L-H type cities is decreasing,however,the H-L type cities is almost provincial capital city.

关 键 词：创新能力 泰尔熵模型 探索性空间数据分析 时空演化 

分 类 号：F061.5[经济管理—政治经济学]