Journal of Geographical Sciences ›› 2020, Vol. 30 ›› Issue (4): 515-534.doi: 10.1007/s11442-020-1740-9
• Special Issue: Development and Protection of Territorial Space in the Yangtze River Economic Belt • Next Articles
LUO Jing1,2,3, CHEN Siyun1,2,3, SUN Xuan4,*(), ZHU Yuanyuan1,2,3, ZENG Juxin1,2,3, CHEN Guangping5
Received:
2019-04-25
Accepted:
2019-12-29
Online:
2020-04-25
Published:
2020-06-25
Contact:
SUN Xuan
E-mail:muxuan0524@126.com
About author:
Luo Jing (1966-), Professor, specialized in human geography and economic geography. E-mail: luojing@mail.ccnu.edu.cn
Supported by:
LUO Jing, CHEN Siyun, SUN Xuan, ZHU Yuanyuan, ZENG Juxin, CHEN Guangping. Analysis of city centrality based on entropy weight TOPSIS and population mobility: A case study of cities in the Yangtze River Economic Belt[J].Journal of Geographical Sciences, 2020, 30(4): 515-534.
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Table 1
Symbol of each indicator"
Indicator | Symbol | Indicator | Symbol |
---|---|---|---|
Total permanent residential population | C1 | Number of authorized patents | C10 |
GDP | C2 | High-tech output value | C11 |
Added value of secondary and tertiary industries | C3 | Number of high-speed railway and express railway stations | C12 |
Total fixed assets investment | C4 | Number of civil airports | C13 |
Total retail sales of consumer goods | C5 | Total amount of cargo transported | C14 |
Actual use of foreign investment | C6 | Total number of passengers transported | C15 |
Amount of imports and exports | C7 | Number of colleges and universities | C16 |
Tourism income | C8 | Number of students in colleges and universities | C17 |
R&D expenditure | C9 |
Table 2
Data sources for indicators"
Indicators | Data sources |
---|---|
C1, C2, C3, C4, C5, C6, C14, C15, C16, C17 | China Urban Statistical Yearbook (2017) |
C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C14, C15, C16, C17 | Statistical Yearbooks (2017) of the cities in the YREB |
C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C14, C15, C16, C17 | 2016 National Economic and Social Development Statistics Bulletin of the cities in the YREB |
C12 | 12306 China Railway ( |
C13 | 2016 Civil Aviation Airport Production Statistics Bulletin of China ( |
Table 4
The correlation coefficient between population flows and the centrality scores of cities in the Yangtze River Economic Belt"
Classification | Correlation coefficient | P |
---|---|---|
The correlation coefficient between population inflows and the centrality scores of cities in the YREB | 0.9030 | 8.56E-49 |
The correlation coefficient between population outflows and the centrality scores of cities in the YREB | 0.9257 | 6.66E-56 |
The correlation coefficient between population entering the YREB from other cities in China and the centrality scores of cities in the YREB | 0.9508 | 5.48E-67 |
The correlation coefficient between population flowing out of the YREB to other cities in China and the centrality scores of cities in the YREB | 0.8613 | 1.84E-39 |
Table 5
The source city for population inflow from different classes of city in the Yangtze River Economic Belt"
The source city for population inflow from first-class cities | The source city for population inflow from second-class cities | The source city for population inflow from third-class cities | The source city for population inflow from fourth-class cities | The source city for population inflow for fifth-class cities | |||||
---|---|---|---|---|---|---|---|---|---|
Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) |
First | 55.01 | First | 35.85 | Second | 43.09 | Second | 33.81 | First | 43.15 |
Second | 23.65 | Third | 23.43 | First | 28.25 | First | 31.06 | Fourth | 22.34 |
Fourth | 13.78 | Second | 19.91 | Third | 14.86 | Fourth | 18.83 | Second | 19.76 |
Fifth | 4.96 | Fourth | 17.71 | Fourth | 12.20 | Third | 11.58 | Fifth | 8.38 |
Third | 2.59 | Fifth | 3.10 | Fifth | 1.60 | Fifth | 4.73 | Third | 6.38 |
Table 6
The destination city for the population outflow from different classes of city in the Yangtze River Economic Belt"
The destination city for the population outflow from first-class cities | The destination city for the population outflow from second-class cities | The destination city for the population outflow from third-class cities | The destination city for the population outflow from fourth-class cities | The destination city for the population outflow from fifth-class cities | |||||
---|---|---|---|---|---|---|---|---|---|
Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) | Class | Proportion (%) |
First | 42.39 | First | 42.39 | Second | 38.11 | Second | 28.49 | First | 36.00 |
Second | 22.47 | Second | 22.47 | First | 23.55 | First | 26.60 | Fourth | 28.46 |
Fourth | 21.68 | Fourth | 21.68 | Fourth | 18.50 | Fourth | 25.50 | Second | 17.40 |
Fifth | 7.91 | Fifth | 7.91 | Third | 17.85 | Third | 13.27 | Fifth | 10.48 |
Third | 5.55 | Third | 5.55 | Fifth | 2.00 | Fifth | 6.15 | Third | 7.66 |
Table 7
Source areas (outside the YREB) for population inflow for different classes of city in the Yangtze River Economic Belt"
Source area of the population inflow for first-class cities | Source area for the population inflow for second-class cities | Source area for the population inflow for third-class cities | Source area for the population inflow for fourth-class cities | Source area for the population inflow for fifth-class cities | |||||
---|---|---|---|---|---|---|---|---|---|
Area Proportion (%) | Area Proportion (%) | Area Proportion (%) | Area Proportion (%) | Area Proportion (%) | |||||
Guangdong | 45.32 | Beijing | 44.73 | Guangdong | 61.27 | Guangdong | 59.70 | Guangdong | 55.08% |
Beijing | 34.38 | Guangdong | 39.68 | Beijing | 29.68 | Beijing | 25.77 | Beijing | 33.12 |
Jilin | 4.50 | Guangxi | 4.51 | Henan | 3.11 | Fujian | 5.43 | Fujian | 3.45 |
Hainan | 4.45 | Jilin | 3.62 | Fujian | 1.77 | Guangxi | 2.63 | Henan | 2.49 |
Shaanxi | 3.45 | Shandong | 2.00 | Shandong | 1.25 | Henan | 2.06 | Tibet | 1.46 |
Tianjin | 3.06 | Henan | 1.36 | Shaanxi | 0.68 | Shaanxi | 0.98 | Hainan | 1.43 |
Liaoning | 1.54 | Tianjin | 1.21 | Heilongjiang | 0.38 | Hainan | 0.93 | Guangxi | 0.77 |
Hong Kong | 1.54 | Shaanxi | 1.12 | Guangxi | 0.38 | Tianjin | 0.91 | Shandong | 0.75 |
Fujian | 0.79 | Hainan | 0.87 | Liaoning | 0.38 | Hebei | 0.42 | Shaanxi | 0.59 |
Tibet | 0.72 | Hebei | 0.32 | Tianjin | 0.34 | Liaoning | 0.41 | Tianjin | 0.23 |
Shandong | 0.14 | Heilongjiang | 0.26 | Jilin | 0.19 | Tibet | 0.23 | Hebei | 0.22 |
Inner Mongolia | 0.11 | Inner Mongolia | 0.14 | Hainan | 0.14 | Shandong | 0.19 | Liaoning | 0.14 |
— | — | Gansu | 0.11 | Gansu | 0.14 | Jilin | 0.13 | Jilin | 0.12 |
— | — | Liaoning | 0.07 | Tibet | 0.14 | Gansu | 0.10 | Gansu | 0.08 |
— | — | — | — | Ningxia | 0.10 | Shanxi | 0.03 | Xinjiang | 0.04 |
— | — | — | — | Hebei | 0.04 | Heilongjiang | 0.03 | Shanxi | 0.04 |
— | — | — | — | Shanxi | 0.01 | Inner Mongolia | 0.03 | — | — |
— | — | — | — | Qinghai | 0.01 | Macao | 0.03 | — | — |
Table 8
Destination areas (outside the YREB) for population outflow for different classes of city in the Yangtze River Economic Belt"
Destination area for the first-class city outflow population | Destination area for the second-class city outflow population | Destination area for the third-class city outflow population | Destination area for the fourth-class city outflow population | Destination area for the fifth-class city outflow population | |||||
---|---|---|---|---|---|---|---|---|---|
Area proportion (%) | Area proportion (%) | Area proportion (%) | Area proportion (%) | Area proportion (%) | |||||
Guangdong | 37.59 | Beijing | 49.46 | Guangdong | 43.24 | Guangdong | 47.26 | Guangdong | 46.21 |
Beijing | 37.18 | Guangdong | 32.44 | Beijing | 40.21 | Beijing | 31.46 | Beijing | 38.21 |
Hainan | 5.16 | Guangxi | 3.59 | Henan | 7.17 | Fujian | 5.57 | Fujian | 4.13 |
Jilin | 3.94 | Henan | 3.52 | Shandong | 2.09 | Henan | 4.89 | Henan | 4.09 |
Tianjin | 3.91 | Shandong | 3.28 | Shaanxi | 1.22 | Guangxi | 3.51 | Shandong | 1.65 |
Shaanxi | 3.33 | Jilin | 3.12 | Fujian | 1.20 | Shaanxi | 2.17 | Tibet | 1.61 |
Hong Kong | 2.33 | Shaanxi | 1.07 | Jilin | 0.96 | Tianjin | 1.39 | Hainan | 1.13 |
Shandong | 2.30 | Tianjin | 0.89 | Heilongjiang | 0.82 | Hainan | 1.04 | Shaanxi | 1.10 |
Liaoning | 1.79 | Fujian | 0.79 | Guangxi | 0.81 | Shandong | 0.71 | Guangxi | 0.99 |
Tibet | 1.48 | Hebei | 0.49 | Liaoning | 0.63 | Liaoning | 0.67 | Tianjin | 0.49 |
Fujian | 0.85 | Hainan | 0.48 | Tianjin | 0.60 | Hebei | 0.54 | Shanxi | 0.18 |
Inner Mongolia | 0.14 | Heilongjiang | 0.45 | Tibet | 0.31 | Tibet | 0.34 | Hebei | 0.10 |
— | — | Inner Mongolia | 0.24 | Gansu | 0.24 | Gansu | 0.22 | Gansu | 0.07 |
— | — | Liaoning | 0.17 | Hebei | 0.21 | Jilin | 0.11 | Liaoning | 0.04 |
— | — | — | — | Hainan | 0.19 | Inner Mongolia | 0.05 | Ningxia | 0.01 |
— | — | — | — | Hong Kong | 0.10 | Heilongjiang | 0.05 | — | — |
— | — | — | — | Shanxi | 0.01 | Macao | 0.03 | — | — |
— | — | — | — | — | — | Shanxi | 0.02 | — | — |
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