Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (8): 1182-1196.doi: 10.1007/s11442-018-1549-y
• 研究论文 • Previous Articles
Yong XU1,2(), Jian DUAN1,2, Xiaoren XU3,*(
)
Received:
2017-06-13
Accepted:
2017-12-20
Online:
2018-08-10
Published:
2018-08-10
Contact:
Xiaoren XU
E-mail:xuy@igsnrr.ac.cn;xuxiaoren@lyu.edu.cn
About author:
Author: Xu Yong, Professor, specialized in regional sustainable development and human-environment interactions. E-mail:
Supported by:
Yong XU, Jian DUAN, Xiaoren XU. Comprehensive methods for measuring regional multidimensional development and their applications in China[J].Journal of Geographical Sciences, 2018, 28(8): 1182-1196.
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Table 1
Indicators of regional multidimensional development"
Element | Feature indicator/ Dimension | Attribute indicator | Equation |
---|---|---|---|
Economy | Level of residential income (I) | Per capita disposable income of urban households (IC) Per capita net income of rural households (IR) Per capita local financial budget revenue (IF) | I=IC×B+IR×(1-B)+Ii |
Level of residential consumption (C) | Per capita total retail sales of urban and rural consumer goods | ||
Society | Level of labor-force education (E) | Average number of education years for population of school age | |
Level of population urbanization (U) | Rate of population urbanization (β) | ||
Human settlement | Allocation level of indoor living facilities (F) | Allocation rate for indoor tap water (FW) Allocation rate for indoor kitchens (FK) Allocation rate for indoor toilets (FT) Allocation rate for indoor bathrooms(FB) | F=1/4×(FW+FK+FT+FB) Values for indicators have been normalized |
Level of traffic development (T) | Proportion of traffic land to total land (TP) Traffic Dominance (TD) ( | T=1/2×(TP+TD) Values for indicators have been normalized |
Table 2
Single-dimension classification for China’s regional development in 2010"
Indicator/dimension | Rank | Range | Number of counties | Average value |
---|---|---|---|---|
Level of residential income | Highest | 0.39-1 | 103 | 0.49 |
Higher | 0.25-0.39 | 305 | 0.3 | |
Medium | 0.14-0.25 | 993 | 0.18 | |
Lower | 0.1-0.14 | 578 | 0.12 | |
Lowest | 0-0.1 | 397 | 0.08 | |
Level of residential consumption | Highest | 0.15-1 | 153 | 0.229 |
Higher | 0.08-0.15 | 405 | 0.106 | |
Medium | 0.035-0.08 | 1,006 | 0.053 | |
Lower | 0.018-0.035 | 563 | 0.027 | |
Lowest | 0-0.018 | 249 | 0.013 | |
Level of labor-force education | Highest | 0.75-1 | 259 | 0.81 |
Higher | 0.68-0.75 | 515 | 0.71 | |
Medium | 0.6-0.68 | 1,114 | 0.64 | |
Lower | 0.4-0.6 | 415 | 0.54 | |
Lowest | 0-0.4 | 73 | 0.32 | |
Level of population urbanization | Highest | 0.75-1 | 212 | 0.88 |
Higher | 0.5-0.75 | 318 | 0.60 | |
Medium | 0.3-0.5 | 1,018 | 0.38 | |
Lower | 0.2-0.3 | 562 | 0.26 | |
Lowest | 0-0.2 | 266 | 0.14 | |
Allocation level of indoor living facilities | Highest | 0.8-1 | 406 | 0.87 |
Higher | 0.65-0.8 | 648 | 0.72 | |
Medium | 0.45-0.65 | 849 | 0.56 | |
Lower | 0.25-0.45 | 370 | 0.37 | |
Lowest | 0-0.25 | 103 | 0.15 | |
Level of traffic development | Highest | 0.42-1 | 344 | 0.508 |
Higher | 0.323-0.42 | 610 | 0.346 | |
Medium | 0.2-0.323 | 1,034 | 0.241 | |
Lower | 0.102-0.2 | 280 | 0.110 | |
Lowest | 0-0.102 | 108 | 0.101 |
Table 3
Fitted equations and multiple correlation coefficients for the results of the four measurement methods used in this study at the provincial and city levels across China"
Level | Method | Equation | R2 |
---|---|---|---|
City | RMDI_A VS RMDI_M | RMDI_M = 0.3902ln(RMDI_A) + 1.5412 | 0.9322 |
RMDI_A VS RMDI_W | RMDI_W = 0.1624ln(RMDI_A) + 0.5655 | 0.9462 | |
RMDI_M VS RMDI_W | RMDI_W = 0.3403(RMDI_M)1.1574 | 0.9838 | |
Provincial | RMDI_A VS RMDI_M | RMDI_M = 0.427ln(RMDI_A) + 1.567 | 0.9721 |
RMDI_A VS RMDI_W | RMDI_W = 0.1821ln(RMDI_A) + 0.583 | 0.9664 | |
RMDI_M VS RMDI_W | RMDI_W = 0.1143e1.0723(RMDI_M) | 0.9747 |
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