Journal of Geographical Sciences, Volume. 30, Issue 10, 1603(2020)
Exploring the urban-rural development differences and influencing factors in the Huang-Huai-Hai Plain of China
Figures & Tables(9)
Fig. 2. Spatial pattern of urban-rural difference index values in the Huang-Huai-Hai Plain in 2015
Fig. 3. Different types of urban-rural population-land-industry in the Huang-Huai-Hai Plain in 2015
Fig. 4. Spatial patterns of road network coverage level, natural, economic and social factors in the Huang-Huai-Hai Plain in 2015
Fig. 5. Geographically weighted regression coefficients of the urban-rural difference index in the Huang-Huai-Hai Plain in 2015
Table 1.
Indicators of the urban-rural difference index
View tableView in ArticleTable 1.
Indicators of the urban-rural difference index
Destination layer Criteria layer Index layer Weights Urban development Urban population Proportion of workers to the total urban population in secondary and tertiary industries 0.50 Disposable income of urban residents 0.50 Urban land Intensive level of land use in urban built-up areas (person/km2) 0.51 Secondary and tertiary industrial output value per km2 in urban built-up areas 0.49 Urban industry Urban per capita output value of secondary and tertiary industries (yuan per capita) 1.00 Rural development Rural population Proportion of rural workers to the total rural population 0.50 Disposable income of rural residents 0.50 Rural land Intensive level of land use in rural settlements (person/km2) 0.51 Grain output value per km2 of cultivated land 0.49 Rural industry Output value per capita of rural primary industry 1.00
Table 2.
Indicators of the factors influencing urban-rural development
View tableView in ArticleTable 2.
Indicators of the factors influencing urban-rural development
Factors Index layer Weights Road network coverage level Highway length per km2 0.20 National road length per km2 0.26 Provincial road length per km2 0.23 County road length per km2 0.28 Railway length per km2 0.13 Natural factors County average slope Economic factors County per capita GDP 0.40 County per capita public finance income 0.30 County per capita taxes 0.30 Social factors County per capita social welfare homes 0.31 County per capita medical and health beds 0.36 Proportion of students to the county population 0.33
Table 3.
Grading standards for urban-rural development
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Grading standards for urban-rural development
Urban-rural population Urban-rural land Urban-rural industry Development level UP i RP i UL i RL i UI i RI i [0, 0.3] [0, 0.3] [0, 0.3] [0, 0.3] [0, 0.3] [0, 0.3] Low (0.3, 0.6] (0.3, 0.6] (0.3, 0.6] (0.3, 0.6] (0.3, 0.6] (0.3, 0.6] Medium (0.6, 1] (0.6, 1] (0.6, 1] (0.6, 1] (0.6, 1] (0.6, 1] High
Table 4.
Proportion of different types of urban-rural population-land-industry in the Huang-Huai-Hai Plain in 2015
View tableView in ArticleTable 4.
Proportion of different types of urban-rural population-land-industry in the Huang-Huai-Hai Plain in 2015
Development type Urban-rural population (%) Urban-rural land (%) Urban-rural industry (%) Low-level urban-rural development 9.33 (28) 13.33 (40) 83.67 (251) Low-level urban development and medium-level rural development 28.67 (86) 48.00 (144) 6.00 (18) Low-level urban development and high-level rural development 0.33 (1) 7.33 (22) 0.33 (1) Medium-level urban development and low-level rural development 5.00 (15) 6.33 (19) 7.00 (21) Medium-level urban-rural development 49.67 (149) 18.00 (54) 1.33 (4) Medium-level urban development and high-level rural development 6.33 (19) 4.33 (13) 0.67 (2) High-level urban development and low-level rural development 0 1.00 (3) 1.00 (3) High-level urban development and medium-level rural development 0.33 (1) 1.67 (5) 0 High-level urban-rural development 0.33 (1) 0 0
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Mingyang CHENG, Linna LI, Yang ZHOU. Exploring the urban-rural development differences and influencing factors in the Huang-Huai-Hai Plain of China[J]. Journal of Geographical Sciences, 2020, 30(10): 1603
Paper Information
Category: Research Articles
Received: Sep. 11, 2019
Accepted: Mar. 22, 2020
Published Online: Apr. 21, 2021
The Author Email: ZHOU Yang (zhouyang@igsnrr.ac.cn)
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