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Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014
Jin Gui1,2,3; Deng Xiangzheng2; Zhao Xiaodong1,4; Guo Baishu1,3; Yang Jun5
2018-08-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume28Issue:8Pages:1113-1126
Corresponding AuthorGuo Baishu(guobs1008@163.com)
AbstractThe question of how to generate maximum socio-economic benefits while at the same time minimizing input from urban land resources lies at the core of regional ecological civilization construction. We apply stochastic frontier analysis (SFA) in this study to municipal input-output data for the period between 2005 and 2014 to evaluate the urbanization efficiency of 110 cities within the Yangtze River Economic Belt (YREB) and then further assess the spatial association characteristics of these values. The results of this study initially reveal that the urbanization efficiency of the YREB increased from 0.34 to 0.53 between 2005 and 2014, a significant growth at a cumulative rate of 54.07%. Data show that the efficiency growth rate of cities within the upper reaches of the Yangtze River has been faster than that of their counterparts in the middle and lower reaches, and that there is also a great deal of additional potential for growth in urbanization efficiency across the whole area. Secondly, results show that urbanization efficiency conforms to a "bar-like" distribution across the whole area, gradually decreasing from the east to the west. This trend highlights great intra-provincial differences, but also striking inter-provincial variation within the upper, middle, and lower reaches of the Yangtze River. The total urbanization efficiency of cities within the lower reaches of the river has been the highest, followed successively by those within the middle and upper reaches. Finally, values for Moran's I within this area remained higher than zero over the study period and have increased annually; this result indicates a positive spatial correlation between the urbanization efficiency of cities and annual increments in agglomeration level. Our use of the local indicators of spatial association (LISA) statistic has enabled us to quantify characteristics of "small agglomeration and large dispersion". Thus, "high- high" (H-H) agglomeration areas can be seen to have spread outwards from around Zhejiang Province and the city of Shanghai, while areas characterized by "low-low" (L-L) patterns are mainly concentrated in the north of Anhui Province and in Sichuan Province. The framework and results of this research are of considerable significance to our understanding of both land use sustainability and balanced development.
Keywordurbanization efficiency stochastic frontier analysis spatial autocorrelation analysis spatiotemporal patterns Yangtze River Economic Belt
DOI10.1007/s11442-018-1545-2
WOS KeywordDATA ENVELOPMENT ANALYSIS ; LAND-USE ; CHINA ; MANAGEMENT ; DEA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41501593] ; National Natural Science Foundation of China[41601592] ; National Program on Key Research Project[2016YFA0602500]
Funding OrganizationNational Natural Science Foundation of China ; National Program on Key Research Project
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000440115800006
PublisherSCIENCE PRESS
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54521
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGuo Baishu
Affiliation1.Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Hubei Univ, Ctr Natl Land Space Management, Wuhan 430062, Hubei, Peoples R China
4.Hubei Prov Key Lab Reg Dev & Environm Response, Wuhan 430062, Hubei, Peoples R China
5.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Jin Gui,Deng Xiangzheng,Zhao Xiaodong,et al. Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(8):1113-1126.
APA Jin Gui,Deng Xiangzheng,Zhao Xiaodong,Guo Baishu,&Yang Jun.(2018).Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014.JOURNAL OF GEOGRAPHICAL SCIENCES,28(8),1113-1126.
MLA Jin Gui,et al."Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014".JOURNAL OF GEOGRAPHICAL SCIENCES 28.8(2018):1113-1126.
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