Are Chinese resource-exhausted cities in remote locations?

doi:10.1007/s11442-018-1565-y

	Are Chinese resource-exhausted cities in remote locations?
	Sun Wei 1,2; Mao Lingxiao 1,2
刊名	JOURNAL OF GEOGRAPHICAL SCIENCES
	2018-12-01
卷号	28 期号:12 页码:1781-1792
关键词	resource-exhausted cities location remoteness degree method of recognition China
ISSN号	1009-637X
DOI	10.1007/s11442-018-1565-y
通讯作者	Sun Wei(sunw@igsnrr.ac.cn)
英文摘要	Numerous domestic scholars have argued that a remote location is the major factor preventing the transformation and 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 that are closely connected to this phenomenon: Beijing, Shanghai, and Guangzhou. Spatial and temporal distances are used to calculate and 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 from the overall samples. Based on spatial distances, the LRDs are alpha(1) = 1.36 (i.e., distance to provincial capital city) and beta(1) = 1.14 (i.e., distance to regional central city), but when based on temporal distances, alpha(2) = 2.02 (i.e., distance to provincial capital city) and beta(2) = 1.44 (i.e., distance to regional central city). Clear differences are found in the LRDs 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., alpha > 1.5 boolean AND beta > 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 based on spatial and temporal distances (i.e., alpha <= 1.0 boolean AND beta <= 1.0) encompass 32.1% and 38.5% of the total, respectively. This study provided supporting information for the future development and policy making for resource-exhausted cities given different LRDs.
资助项目	National Natural Science Foundation of China[40701044]
WOS研究方向	Physical Geography
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000455924200003
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/50639]
专题	中国科学院地理科学与资源研究所
通讯作者	Sun Wei
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Sun Wei,Mao Lingxiao. Are Chinese resource-exhausted cities in remote locations?[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(12):1781-1792.
APA	Sun Wei,&Mao Lingxiao.(2018).Are Chinese resource-exhausted cities in remote locations?.JOURNAL OF GEOGRAPHICAL SCIENCES,28(12),1781-1792.
MLA	Sun Wei,et al."Are Chinese resource-exhausted cities in remote locations?".JOURNAL OF GEOGRAPHICAL SCIENCES 28.12(2018):1781-1792.