Comprehensive methods for measuring regional multidimensional development and their applications in China
文献类型：期刊论文
| 作者 | Xu Yong1,3; Duan Jian1,3; Xu Xiaoren2 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2018-08-01 |
| 卷号 | 28期号:8页码:1182-1196 |
| 关键词 | regional multidimensional development comprehensive methods polyhedron method polygon method vector sum method weighted sum method China |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-018-1549-y |
| 通讯作者 | Xu Xiaoren(xuxiaoren@lyu.edu.cn) |
| 英文摘要 | National 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. |
| WOS关键词 | HUMAN-DEVELOPMENT INDEX ; ECONOMIC-GEOGRAPHY ; PROGRESS |
| 资助项目 | National Natural Science Foundation of China[41171449] ; Knowledge Innovation Project of the Chinese Academy of Sciences[KZZD-EW-06] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000440115800010 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Natural Science Foundation of China ; Knowledge Innovation Project of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54522]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu Xiaoren |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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