Are Chinese resource-exhausted cities in remote locations?

Authors: Lingxiao Mao*, Institute of Geographic Sciences and Natural Resources Research, CAS, Wei Sun, Institute of Geographic Sciences and Natural Resources Research, CAS
Topics: China, Resources, Location Theory
Keywords: resource-exhausted cities; location remoteness degree; method of recognition; China
Session Type: Poster
Day: 4/13/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded

Numerous scholars have argued that a remote location is the major factor preventing the sustainable development of resource-exhausted cities. Research to date, however, has not presented relevant evidence to support this hypothesis or explained how to identify the concept of ‘remoteness’. Resource-exhausted cities designated by the State Council of China were examined in this study alongside the provincial capital cities that contain such entities and three regional central cities: Beijing, Shanghai, and Guangzhou. Spatial and temporal distances are used to evaluate the location remoteness degrees (LRDs) of resource-exhausted cities, in terms of both resource types and regions. The results indicate that resource-exhausted cities are indeed remote when evaluated based on all samples. Based on spatial distances, the LRDs are α1 = 1.36 (i.e., distance to provincial capital city) and β1 = 1.14 (i.e., distance to regional central city), but when based on temporal distances, α2 = 2.02 (i.e., distance to provincial capital city) and β2 = 1.44 (i.e., distance to regional central city). Clear differences are found in the LRD between different regions and resource types, with those in western China and forest industrial cities the most obviously remote. Finally, the numbers of very remote resource-exhausted cities based on spatial and temporal distances (i.e., α> 1.5 ∩ β> 1.5) are 14 and 19, respectively, encompassing 17.9% and 24.4% of the total sampled. Similarly, 25 and 30 not remote resource-exhausted cities (i.e., α≤1.0 ∩ β≤1.0) encompass 32.1% and 38.5% of the total, respectively.

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