摘要
运用柯布—道格拉斯生产函数的随机前沿分析方法,测度了2007—2014年我国25个地区城市规模分布对区域创新效率的影响,并利用聚类分析进一步考察基于两者联合关系的地域划分情况。结果显示:(1)城市规模分布与区域创新效率之间呈倒U形关系,即存在使区域创新效率最大化的最优城市规模分布,过于集中或过于分散的城市规模分布均不利于区域创新效率的提高;(2)我国各地区可划分为四种新类型,不同类型区域内部城市规模分布和区域创新效率存在较大差异,但总体来说,东部沿海城市两者的匹配度明显优于中西部城市。研究表明:为有效地提升区域创新效率,促进区域经济发展,可进一步优化城市规模分布。
Using the stochastic frontier analysis method of the Cobb-Douglas production function,this paper measures the impact of urban scale distribution of 25 Chinese cities on the regional innovation efficiency during the period of 2007 to 2014. It then adopts cluster analysis to further study the geographical division based on their joint relationships. The results show that： 1） there is an inverted U-type relationship between urban scale distribution and regional innovation efficiency,that is,there is an optimal urban scale distribution that maximizes regional innovation efficiency,and under or over concentrated urban scale is not conducive to the improvement of that efficiency. 2） There are four new types of geographical regions in China,and there are great differences in urban scale distribution and regional innovation efficiency among different types of regions. Overall,the two factors match each other to a greater extent in eastern coastal cities than in mid-west cities. Based on this,this paper argues that a further optimization of urban scale distribution should be adopted in order to effectively improve the efficiency of regional innovation and promote regional economic development.
作者
陆远权
秦佳佳
LU Yuan-quan;QIN Jia-jia(School of Public Administration,Chongqing University,Chongqing 400030,China;Chongqing Normal University,Chongqing 401331,China)
出处
《经济经纬》
CSSCI
北大核心
2018年第6期1-7,共7页
Economic Survey
基金
国家自然科学基金项目(41601178)
教育部人文社会科学研究项目(15YJC790121)
河南省政府决策研究招标课题(2017B156)
关键词
城市规模分布
区域创新效率
随机前沿分析
聚类分析
Urban Scale Distribution
Regional Innovation Efficiency
Stochastic Frontier Model
Cluster Analysis
