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福州市市辖区经济与县域经济时空分异和空间耦合分析 被引量:1

THE SPATIAL TEMPORAL VARIATION AND COUPLING ANALYSIS OF ECONOMY IN FUZHOU AT CENTER AREA AND TOWN AREA
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摘要 基于福州市2010~2016年的相关经济数据,通过计算CV变异系数和泰尔指数分析福州市市辖区经济与县域经济在时间尺度上的发展差异。利用灰色关联分析和空间自相关对福州市市辖区经济和县域经济空间结构进行分析。研究表明:在2010~2016年间福州市市辖区经济与县域经济的发展水平随着时间推移不断提升,区域经济发展差异总体上不断缩小,呈现"先升后降"波动性发展趋势。市辖区经济和县域经济互相影响,在空间结构上,市辖区经济和县域经济可划分为4种发展类型,分别是低耦合度—高经济发展水平型、高耦合度—高经济发展水平型、低耦合度—低经济发展水平型以及高耦合度—低经济发展水平型。 The relevant economic data from 2010 to 2016 in Fuzhou city in recent seven years based on the analysis by calculating the CV coefficient of variation and Theil index in time scale development differences in Fuzhou City area economy and county economy. Using the economic development index system,using the gray correlation analysis and spatial autocorrelation to analyze the integration of economic and spatial structure of Fuzhou city. The results show that: in the 2010 ~ 2016 years the level of development of Fuzhou city economy and county economy w ith time increasing,the differences of regional economic development overall shrinking,show ing "volatility trend first increased and then decreased". The mechanism of development factors of city area economy and county economy is complex,the overall performance of the tw o aspects promote city economic effect of county economy and county economy of city economy,the spatial structure,city economy and county economy development is divided into four types,namely low coupling the development level and high economic development level,high coupling,low coupling and high economic low level of economic development and high coupling,low level of economic development type.
作者 杜张颖 陈松林 陈翠翠 DU Zhang-ying;CHEN Song-lin;CHEN Cui-cui(College of Geographical Sciences,Fujian Normal University,Fuzhou 350007,Fujian,China;Provincial Key Laboratory of Subtropical Resources and Environment of Fujian,Fuzhou 350007,Fujian,China)
出处 《云南地理环境研究》 2018年第5期43-48,共6页 Yunnan Geographic Environment Research
基金 国家自然科学基金(41371145) 福建省科技重大专项(2012NZ0002-1-5)
关键词 市辖区经济 县域经济 耦合度 空间分析 urban economy county economy coupling degree spatial pattern
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