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Comprehensive methods for measuring regional multidimensional development and their applications in China
Xu Yong1,2; Duan Jian1,2; Xu Xiaoren3
2018-08-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume28Issue:8Pages:1182-1196
Corresponding AuthorXu Xiaoren(xuxiaoren@lyu.edu.cn)
AbstractNational and international research on regional development has matured from the use of single elements and indicators to the application of comprehensive multi-element and multi-indicator measures. We selected 12 indicators from six dimensions for analysis in this study, including income, consumption, education, population urbanization, traffic, and indoor living facilities. We then proposed the polyhedron method to comprehensively measure levels of regional multidimensional development. We also enhanced the polygon and vector sum methods to render them more suitable for studying the status of regional multidimensional development. Finally, we measured levels of regional multidimensional development at county, city, and provincial scales across China and analyzed spatial differences using the three methods above and the weighted sum method applied widely. The results of this study reveal the presence of remarkable regional differences at the county scale across China in terms of single and multidimensional levels of regional development. Analyses show that values of the regional multidimensional development index (RMDI) are high in eastern coastal areas, intermediate in the midlands and in northern border regions, and low in the southwest and in western border regions. Districts characterized by enhanced and the highest levels of this index are distributed in eastern coastal areas, including cities in central and western regions, as well as areas characterized by the development of energy and mineral resources. The regional distribution of reduced and the lowest levels of this index is consistent with concentrations of areas that have always been impoverished. Correlation analyses of the results generated by the four methods at provincial, city, and county scales show that all are equivalent in practical application and can be used to generate satisfactory measures for regional multidimensional development. Additional correlation analyses between RMDI values calculated using the polyhedron method and per capita gross domestic product (GDP) demonstrate that the latter is not a meaningful proxy for the level of regional multidimensional development.
Keywordregional multidimensional development comprehensive methods polyhedron method polygon method vector sum method weighted sum method China
DOI10.1007/s11442-018-1549-y
WOS KeywordHUMAN-DEVELOPMENT INDEX ; ECONOMIC-GEOGRAPHY ; PROGRESS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41171449] ; Knowledge Innovation Project of the Chinese Academy of Sciences[KZZD-EW-06]
Funding OrganizationNational Natural Science Foundation of China ; Knowledge Innovation Project of the Chinese Academy of Sciences
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000440115800010
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54523
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXu Xiaoren
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China
Recommended Citation
GB/T 7714
Xu Yong,Duan Jian,Xu Xiaoren. Comprehensive methods for measuring regional multidimensional development and their applications in China[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(8):1182-1196.
APA Xu Yong,Duan Jian,&Xu Xiaoren.(2018).Comprehensive methods for measuring regional multidimensional development and their applications in China.JOURNAL OF GEOGRAPHICAL SCIENCES,28(8),1182-1196.
MLA Xu Yong,et al."Comprehensive methods for measuring regional multidimensional development and their applications in China".JOURNAL OF GEOGRAPHICAL SCIENCES 28.8(2018):1182-1196.
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