Farmers’ Water Poverty Measurement and Analysis of Endogenous Drivers

Jinlong Shen, Jiafen Li, Yu Zhang and Jianfeng Song ()
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Jinlong Shen: Northwest A&F University
Jiafen Li: Northwest A&F University
Yu Zhang: Northwest A&F University
Jianfeng Song: Northwest A&F University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 11, No 6, 4309-4326

Abstract: Abstract The theory of water poverty has undergone extensive development since it was first proposed, but there are still deficiencies in its definition and evaluation at the micro-subject level as well as the research of endogenous drivers analysis. In this regard, this paper takes the main body of micro farmers as the research object, and makes use of 603 micro farmers’ data in Shaanxi and Ningxia, China in order to carry out the measurement of farmers’ water poverty and its endogenous drivers analysis. First, we define the concept of farmers’ water poverty at the micro-scale, and propose a farmers’ water poverty index (FWPI) applicable to the evaluation of micro-level subjects and measure it. Then, an empirical analysis of the endogenous driving paths of farmers’ water poverty is conducted by constructing a partial least square structural equation model (PLS-SEM) with reference to the Drivers-Pressures-State-Impact-Response (DPSIR) causality model. All of the pertinent theoretical hypotheses put forward in this study were found to pass the test well. In this regard, the study reveals in detail the specific pathways of the drivers of farmers’ water poverty. It also discovers that the drivers’ impacts on the status of farmers’ water poverty vary, with the effects produced by P_Resource and D_Capacity being prominent. Finally, the study provides countermeasures as well as suggestions for improving the theory of water poverty and alleviating farmers’ water poverty from an endogenous driver standpoint.

Keywords: Farmers' water poverty; Endogenous drivers; DPSIR Model; Partial Least Square - Structural Equation Model (PLS-SEM) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03554-5

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