长江经济带县域城乡收入差距的空间格局及其影响因素
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  • 英文篇名:Spatial Pattern of Urban-Rural Income Gap and Its Influencing Factors at County Level in Yangtze River Economic Belt
  • 作者:张改素 ; 王发曾 ; 康珈瑜 ; 杨慧 ; 丁志伟
  • 英文作者:ZHANG Gaisu;WANG Fazeng;KANG Jiayu;YANG Hui;DING Zhiwei;College of Environment & Planning and Centre for Regional Development and Regional Planning,Henan University;Henan Three New-types Coordinated Development Center;
  • 关键词:城乡收入差距 ; 空间格局 ; 影响因素 ; 县域 ; 长江经济带
  • 英文关键词:urban-rural income gap;;spatial pattern;;evolution;;driving factor;;county level;;Yangtze River Economic Belt
  • 中文刊名:JJDL
  • 英文刊名:Economic Geography
  • 机构:河南大学环境与规划学院/区域发展与区域规划中心;中原经济区三化协调发展河南省协同创新中心;
  • 出版日期:2017-04-26
  • 出版单位:经济地理
  • 年:2017
  • 期:v.37;No.230
  • 基金:国家自然科学基金项目(41601112);; 河南省科技厅社会发展攻关资助项目(162102310396);; 河南省教育厅人文社会科学一般项目(2017-ZZJH-054)
  • 语种:中文;
  • 页:JJDL201704006
  • 页数:10
  • CN:04
  • ISSN:43-1126/K
  • 分类号:44-53
摘要
城乡收入比为测度指标,采用变异系数、泰尔指数、莫兰指数、空间分类、探索性空间数据分析等方法,分析2000年以来长江经济带县域城乡收入差距的空间格局演变及其影响因素。结果显示:12000—2014年变异系数、泰尔指数不断下降,表明长江经济带县域城乡收入差距呈现日趋减小的趋势。2从空间分类格局看,极高、高、较高城乡收入差距区主要分布在西部并形成大范围高值集中区,近期三者的数量大幅减少但依然占据主导;极低、低、较低城乡收入差距区主要分布在中东部地区,在长三角、主要城市群以及经济发达区形成连绵分布区;较高、高城乡收入差距区在中部、东部基本上变化为中等、较低城乡收入差距区,近期这两个类型区几乎消失。3从空间关联格局看,HH区和LL区在空间上集聚格局明显。显著HH区主要在川西、滇西以及滇南形成连绵分布区,近期集聚态势进一步增强;显著LL区在中部、东部的分布范围在不同年份虽有变化但近期集聚效应明显增加,近期显著LL区明显集中在两个区域:一个以武汉城市圈、长株潭城市群为主,另一个是在长三角地区。4影响空间格局的主要因素为:优越的区位条件依然发挥重要作用,农业现代化进程起正向促进作用,经济发展水平起决定性支撑作用,工业化、城镇化发挥重要的推动作用,信息化起一定的"阻碍"作用,战略政策的支持起宏观引领作用。
        The coefficient of variation, Theil index, Moran's I, spatial classification, exploratory spatial data analysis and spatial regression were used for analyzing the spatial pattern evolution of urban-rural income gap and its driving factors at county level in Yangtze River Economic Belt from 2000 to 2014 based on the index of urban-rural income ratio. The results showed that:(1) The overall difference level of urban-rural income gap decreased during the study period,indicating the urban-rural income distribution pattern of the Yangtze River Economic Belt turned to a favorable direction.(2) From the number of spatial classification, the number of the extreme low urban-rural income gap areas was the least with a fluctuation. The number of the low urban-rural income gap areas substantial increased, the change of the number of lower urban-rural income gap areas was unapparent. The number of the middle-income and high-income gap areas increased slightly. The number of the higher-income gap areas decreased with a fluctuation and the extreme high urbanrural income gap areas decreased dramatically. From the pattern of spatial distribution, the areas with extremely high,higher and high urban-rural income gap occupied the main type and aggregated in the western region. Although above three areas have decreased sharply in recent years, it is still difficult to reduce the urban-rural income gap in the western region. The areas with extremely low, lower and low urban-rural income gap were mainly distributed in the eastern region(Yangtze River Delta, major urban agglomeration and developed areas). The areas with higher and high urban-rural income gap in the central and eastern transformed to the areas with middle and lower urban-rural income gap during the study period. And the areas with higher and high urban-rural income gap have nearly disappeared in recent years.(3)From the pattern of spatial auto-correlation, the urban-rural income gap appeared significant spatial agglomeration characteristics, that meant the number of the High-High regions(HH regions) and Low-Low regions(LL regions)occupied most and the spatial agglomeration pattern was obvious. The significant HH areas were mainly distributed in the west of Sichuan and Yunnan and south of Yunnan, which formed the continuous distribution area. And the agglomeration has further enhanced in recent years. The distribution of the significant LL areas in the central and eastern of the whole economic region changed in different years. But the aggregation effect has increased obviously in recent years. The significant LL areas have mainly concentrated in two areas in recent years, one is the area nearby the Jing-Guang Railway in Hunan and Hubei Province, especially the Wuhan City Circle and Chang-Zhu-Tan Urban Agglomeration. The other is Yangtze River Delta region.(4) Quantitative evaluation and qualitative explanation revealed that the influence factors of driving effect were as follows: the superior geographical conditions still played an important role; the process of agricultural modernization played a positive role; the level of economic development played a role of decisive support;the urbanization and industrialization played a role of important driving force; the strategic policy played an important role of leading; but the informatization played a negative role. Combined with the results of qualitative explanation and analysis of the driving factors, some improving suggestions are proposed.
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