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A geospatial analysis of multi-scalar regional inequality in China and in metropolitan regions
He, Sanwei1,2; Fang, Chuanglin2; Zhang, Wenting3
2017-11-01
Source PublicationAPPLIED GEOGRAPHY
ISSN0143-6228
Volume88Pages:199-212
Corresponding AuthorFang, Chuanglin(fangcl@igsnrr.ac.cn)
AbstractThis paper provides a geospatial analysis of regional inequality across provinces, prefectures and counties in China from 1997 to 2010 under a comparative spatiotemporal conceptual framework. Despite significant spatial agglomeration at all spatial scales, the extent of agglomeration shows an obviously downward trend from 2003 to 2006. Substantially stronger agglomeration of economic development is demonstrated at county scales. Local indicators of spatial autocorrelation (LISA) are employed to visualize the local spatial characteristics of economic growth. Four snapshots (in the years 1997, 2001, 2005, and 2010) of LISA indicate a dramatic north-shifting of hot spots of economic growth in response to the northward movement of foreign investors and spatial agglomeration besides institutional forces in China. Furthermore, local spatial agglomeration demonstrates a heterogeneous process: hot spots of economic development along the coast, cold spots in western China and no significant spatial clusters in central China. As the major carries of scale economies, metropolitan regions see decreasing internal agglomeration during this period with the exception of the Yangtze River Delta area, which shows a strong spatial spillover into its neighbourhood. Finally, LISA Markov and geovisualization methods are employed to predict the long-run properties of spatial distribution in multi-scalar China. The results show that downward co-movements of a county with its neighbours are more frequently encountered, perhaps resulting in the continuous concentration of poor areas in the long run. (C) 2017 Published by Elsevier Ltd.
KeywordRegional inequality Geospatial analysis Spatial Markov Multi-scale China
DOI10.1016/j.apgeog.2017.08.017
WOS KeywordGEOGRAPHIC SCALE ; EUROPEAN-UNION ; ZHEJIANG PROVINCE ; GIS ENVIRONMENT ; CONVERGENCE ; DYNAMICS ; GROWTH ; SPACE ; MODEL ; DISPARITIES
Indexed BySCI
Language英语
Funding ProjectMajor Program of the National Natural Science Foundation of China[41590840] ; Major Program of the National Natural Science Foundation of China[41590842] ; National Natural Science Foundation of China[41601162] ; National Natural Science Foundation of China[41601415]
Funding OrganizationMajor Program of the National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000416192200018
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56751
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFang, Chuanglin
Affiliation1.Zhongnan Univ Econ & Law, Sch Publ Adm, Wuhan 430073, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Hubei, Peoples R China
Recommended Citation
GB/T 7714
He, Sanwei,Fang, Chuanglin,Zhang, Wenting. A geospatial analysis of multi-scalar regional inequality in China and in metropolitan regions[J]. APPLIED GEOGRAPHY,2017,88:199-212.
APA He, Sanwei,Fang, Chuanglin,&Zhang, Wenting.(2017).A geospatial analysis of multi-scalar regional inequality in China and in metropolitan regions.APPLIED GEOGRAPHY,88,199-212.
MLA He, Sanwei,et al."A geospatial analysis of multi-scalar regional inequality in China and in metropolitan regions".APPLIED GEOGRAPHY 88(2017):199-212.
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