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

作者：Sun, Caizhi^*; Wu, Yongjie; Zou, Wei; Zhao, Liangshi; Liu, Wenxin

来源：Water Resources Management, 2018, 32(6): 1933-1951.

DOI：10.1007/s11269-017-1819-y

• Rural water poverty
• Partial least squares
• Structural equation
• Exploratory spatial data analysis
• Spatial clustering

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.

• 出版日期2018-4
• 单位辽宁师范大学