Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (12): 1781-1792.doi: 10.1007/s11442-018-1565-y
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Received:
2017-08-30
Accepted:
2017-10-28
Online:
2018-12-20
Published:
2018-12-20
About author:
Author: Sun Wei (1975-), PhD and Associate Professor, specialized in regional sustainable development and spatial planning. E-mail:
Supported by:
Wei SUN, Lingxiao MAO. Are Chinese resource-exhausted cities in remote locations?[J].Journal of Geographical Sciences, 2018, 28(12): 1781-1792.
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Table 1
LRDs for different types of resource-exhausted cities"
Type of city | Relative to provincial capital cities | Relative to regional central cities | ||||||
---|---|---|---|---|---|---|---|---|
Average | Minimum | Maximum | Standard deviation (SD) | Average | Minimum | Maximum | SD | |
Iron and steel | 0.79 | 0.43 | 1.52 | 0.64 | 0.73 | 0.18 | 0.97 | 0.53 |
Industrial and mineral | 0.97 | 0.76 | 1.25 | 0.56 | 0.91 | 0.58 | 1.13 | 0.19 |
Coal mining | 0.82 | 0.12 | 1.69 | 0.64 | 1.01 | 0.15 | 1.95 | 0.54 |
Forest industrial | 1.63 | 0.55 | 2.64 | 0.69 | 1.68 | 1.19 | 2.10 | 0.51 |
Petroleum | 1.22 | 0.85 | 2.35 | 0.57 | 1.29 | 0.67 | 2.20 | 0.52 |
Non-ferrous metal | 1.04 | 0.26 | 2.28 | 0.53 | 0.95 | 0.30 | 1.80 | 0.53 |
Table 2
Contrasting LRDs between the four regions in China"
Type | Relative to provincial capital cities | Relative to regional central cities | ||||||
---|---|---|---|---|---|---|---|---|
Average | Minimum | Maximum | SD | Average | Minimum | Maximum | SD | |
Northeastern | 1.11 | 0.20 | 2.33 | 0.53 | 1.37 | 0.40 | 2.10 | 0.54 |
Eastern | 0.93 | 0.12 | 1.69 | 0.64 | 0.51 | 0.15 | 0.97 | 0.54 |
Western | 1.14 | 0.22 | 2.64 | 0.65 | 1.44 | 0.37 | 2.20 | 0.52 |
Central | 1.02 | 0.43 | 2.28 | 0.62 | 0.80 | 0.42 | 1.16 | 0.51 |
Table 3
Contrasting LRDs between different resource-exhausted cities in China"
City | Relative to provincial capital cities | Relative to regional central cities | ||||||
---|---|---|---|---|---|---|---|---|
Average | Minimum | Maximum | SD | Average | Minimum | Maximum | SD | |
Iron and steel | 0.98 | 0.32 | 2.41 | 1.06 | 0.95 | 0.38 | 2.05 | 0.95 |
Industrial and mineral | 2.49 | 1.44 | 2.56 | 1.11 | 1.58 | 1.16 | 1.97 | 0.51 |
Coal mining | 0.89 | 0.11 | 3.76 | 1.04 | 1.05 | 0.22 | 2.31 | 0.96 |
Forest industrial | 2.14 | 0.44 | 4.06 | 1.12 | 2.46 | 1.02 | 4.67 | 1.01 |
Petroleum | 0.86 | 0.38 | 1.50 | 0.87 | 1.36 | 0.39 | 2.59 | 0.75 |
Non-ferrous metal | 0.95 | 0.22 | 2.37 | 0.77 | 1.05 | 0.10 | 2.39 | 0.75 |
Table 4
Contrasting LRDs for different resource-exhausted cities between the four regions in China"
Region | Relative to provincial capital cities | Relative to regional central cities | ||||||
---|---|---|---|---|---|---|---|---|
Average | Minimum | Maximum | SD | Average | Minimum | Maximum | SD | |
Northeastern | 1.42 | 0.17 | 3.76 | 0.79 | 1.58 | 0.36 | 2.54 | 0.69 |
Eastern | 0.78 | 0.11 | 2.41 | 1.06 | 0.47 | 0.10 | 2.05 | 0.96 |
Western | 1.27 | 0.19 | 4.06 | 1.05 | 1.96 | 0.23 | 4.67 | 0.94 |
Central | 1.20 | 0.32 | 3.47 | 1.02 | 0.92 | 0.24 | 1.97 | 0.95 |
Table 5
Comprehensive evaluation classification of resource-exhausted cities based on LRDs"
Grade | Cities | |
---|---|---|
Relative to provincial capital cities | Relative to regional central cities | |
Not remote | Jingxing Mining District, Xiaoyi City, Huozhou City, Wuhai City, Shiguai District, Panjin City, Fushun City, Gongchangling District, Liaoyuan City, Jiutai City, Tongchuan City, Tongguan County, Baiyin City, Honggu District, Shizuishan City, Xintai City, Zichuan District, Jiaozuo City, Tongling City, Xinyu City, Daye City, Huangshi City, Qianjiang City, Wansheng District, Nanchuan District, Heshan City, Changjiang County, Gejiu City, Dongchuan District, and Yimen County | Jingxing Mining Area, Xiahuayuan District, Yingshouyingzi Mining District, Xiaoyi City, Huozhou City, Fuxin City, Panjin City, Gongchangling District, Yangjiazhangzi Mining District, Nanpiao District, Zaozhuang City, Xintai City, Zichuan District, Jiaozuo City, Puyang City, Tongling City, Xinyu City, Jiawang City, Qianjiang City, Changning City, Leiyang City, Zixing City, Shaoguan City, Heshan City, and Pinggui Management District |
Very remote | Yingshouyingzi Mining District, Aershan City, Yakeshi City, Ergun City, Genhe City, Oroqen City, Zhalantun City, Yangjiazhangzi Mining District, Nanpiao District, Wangqing County, Aihui District, Yumen City, Huaibei City, and Dayu County | Yakeshi City, Ergun City, Oreqen City, Genhe City, Wangqing County, Hegang City, Shuangyashan City, Yichun City, Jiayin County, Qitaihe City, Wudalianchi City, Xunke County, Aihui District, Da Hinggan Forest District, Baiyin City, Yumen City, Luzhou City, Yimen County, and Gejiu City |
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