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Water use trend analysis: A non-parametric method for the environmental Kuznets curve detection
Sun, Siao; Fang, Chuanglin
2018-01-20
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
Volume172Pages:497-507
Corresponding AuthorSun, Siao(suns@igsnrr.ac.cn)
AbstractUnderstanding of the trend in water use with possible relation to economic development is essential for forecasting future water demand and developing response strategies. The environmental Kuznets curve hypothesis asserts that pollution emissions and natural resource use often follow an inverted-U shape. This paper develops a piecewise Mann-Kendall method to address inverted-U shape detection based on a non-parametric approach. P-values of the piecewise Mann-Kendall method statistic are identified using the exhaustion method, approximation method or analytic method, depending on the data size. Tests of the piecewise Mann-Kendall method on synthetic data indicate that the developed method provides reasonable type I error and power. The method is successfully applied to pattern detection in real water use. Water uses in a few countries and provinces in China present the environmental Kuznets curve. Unlike the traditional parametric quadratic regression method which is sensitive to data skewness, this non-parametric method offers consistent environmental Kuznets curve detection regardless of the original or logarithmic form of data being used. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordEconomic development Environmental Kuznets curve Inverted-U shape Mann-Kendall method Trend analysis Water use
DOI10.1016/j.jclepro.2017.10.212
WOS KeywordECONOMIC-GROWTH ; CO2 EMISSIONS ; MANN-KENDALL ; QUALITY ; CHINA ; TESTS ; PART
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China (NSFC)[41590842]
Funding OrganizationNational Natural Science Foundation of China (NSFC)
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000423001900046
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56917
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSun, Siao
AffiliationChinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Sun, Siao,Fang, Chuanglin. Water use trend analysis: A non-parametric method for the environmental Kuznets curve detection[J]. JOURNAL OF CLEANER PRODUCTION,2018,172:497-507.
APA Sun, Siao,&Fang, Chuanglin.(2018).Water use trend analysis: A non-parametric method for the environmental Kuznets curve detection.JOURNAL OF CLEANER PRODUCTION,172,497-507.
MLA Sun, Siao,et al."Water use trend analysis: A non-parametric method for the environmental Kuznets curve detection".JOURNAL OF CLEANER PRODUCTION 172(2018):497-507.
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