A Rural Water Poverty Analysis in China Using the DPSIR-PLS Model

Caizhi Sun (), Yongjie Wu, Wei Zou, Liangshi Zhao and Wenxin Liu
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Caizhi Sun: Liaoning Normal University
Yongjie Wu: Liaoning Normal University
Wei Zou: Liaoning Normal University
Liangshi Zhao: Liaoning Normal University
Wenxin Liu: Liaoning Normal University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 6, No 1, 1933-1951

Abstract: Abstract Water poverty assessment is a complex problem involving multiple systems such as water resources, the economy, society, and the environment. Thus, it is necessary to employ a comprehensive model comprising a set of interdisciplinary indicators that encompass water-related aspects, as well as a conceptual framework to organize all indicators and variables. Firstly, we develop water poverty indicators for rural areas of China by introducing the Driving forces–Pressures–States–Impacts–Responses (DPSIR) model, based on causality. Then, the indicator system and structural equation model (SEM) are combined, and the partial least squares approach to structural equation modeling (PLS-SEM) tests the hypothesis based on the causal relationship of the DPSIR model. Secondly, the weight of each variable is obtained using the modified model and structural equation software, and water poverty scores are calculated for each area. Exploratory spatial analysis of the results suggests that the distribution of water poverty in China’s rural areas displays low–low and high–high clustering. Policy makers should take advantage of the water resource situation in eastern and central regions to help the northwest, southwest, and southeast regions alleviate problems of water poverty.

Keywords: Rural water poverty; Partial least squares; Structural equation; Exploratory spatial data analysis; Spatial clustering (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11269-017-1819-y

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