Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China

doi:10.1007/s11442-017-1446-9

	Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China
	Bao Chao 1,2,3; Chen Xiaojie 1,2,3,4
刊名	JOURNAL OF GEOGRAPHICAL SCIENCES
	2017-12-01
卷号	27 期号:12 页码:1450-1462
关键词	water consumption efficiency water resources management urbanization spatial spillover effects spatial Durbin model
ISSN号	1009-637X
DOI	10.1007/s11442-017-1446-9
通讯作者	Bao Chao(baoc@igsnrr.ac.cn)
英文摘要	Due to the limitation of total amount of water resources, it is necessary to enhance water consumption efficiency to meet the increasing water demand of urbanizing China. Based on the panel data of 31 provinces in China in 1997-2013, we analyze the influencing factors of water consumption efficiency by spatial econometric models. Results show that, 1) Due to the notable spatial autocorrelation characteristics of water consumption efficiency among different provinces in China, general panel data regression model which previous studies often used may be improper to reveal its influencing factors. However, spatial Durbin model may best estimate their relationship. 2) Water consumption efficiency of a certain province may be influenced not only by its socio-economic and eco-environmental indicators, but also by water consumption efficiency in its neighboring provinces. Moreover, it may be influenced by the neighboring provinces' socio-economic and eco-environmental indicators. 3) For the macro average case of the 31 provinces in China, if water consumption efficiency in neighboring provinces increased 1%, water consumption efficiency of the local province would increase 0.34%. 4) Among the ten specific indicators we selected, per capita GDP and urbanization level of itself and its neighboring provinces have the most prominent positive effects on water consumption efficiency, and the indirect effects of neighboring provinces are much larger. Therefore, the spatial spillover effects of the economic development level and urbanization level are the primary influencing factors for improving China's water consumption efficiency. 5) Policy implications indicate that, to improve water consumption efficiency, each province should properly consider potential influences caused by its neighboring provinces, especially needs to enhance the economic cooperation and urbanization interaction with neighboring provinces.
资助项目	National Natural Science Foundation of China[41590844] ; National Natural Science Foundation of China[41571156] ; Service Project on the Cultivation and Construction for the Characteristic Research Institute of the Chinese Academy of Sciences[TSYJS02]
WOS关键词	RESOURCES CONSTRAINT FORCE ; ECONOMIC-GROWTH ; HEXI CORRIDOR ; NW CHINA ; URBANIZATION ; MANAGEMENT ; MODEL
WOS研究方向	Physical Geography
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000411879600002
资助机构	National Natural Science Foundation of China ; Service Project on the Cultivation and Construction for the Characteristic Research Institute of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/62209]
专题	中国科学院地理科学与资源研究所
通讯作者	Bao Chao
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.China Urban Construct Design & Res Inst CO LTD, Beijing 100120, Peoples R China
推荐引用方式 GB/T 7714	Bao Chao,Chen Xiaojie. Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2017,27(12):1450-1462.
APA	Bao Chao,&Chen Xiaojie.(2017).Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China.JOURNAL OF GEOGRAPHICAL SCIENCES,27(12),1450-1462.
MLA	Bao Chao,et al."Spatial econometric analysis on influencing factors of water consumption efficiency in urbanizing China".JOURNAL OF GEOGRAPHICAL SCIENCES 27.12(2017):1450-1462.