2013
DOI: 10.1016/j.jenvman.2013.03.051
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Estimation of awareness and perception of water scarcity among farmers in the Guanzhong Plain, China, by means of a structural equation model

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Cited by 77 publications
(78 citation statements)
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References 27 publications
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“…This implies that farmers recognize water scarcity in the study site will tend to improve production efficiency by reducing the use of inputs, specifically in irrigation water use. This finding is consistent with Tang et al (2013). The finding has the important policy that changing behavior, such as improving irrigation water use efficiency should be stimulated through spreading information about water scarcity to farmers.…”
Section: Factors Affecting Resource Use Efficiencysupporting
confidence: 88%
“…This implies that farmers recognize water scarcity in the study site will tend to improve production efficiency by reducing the use of inputs, specifically in irrigation water use. This finding is consistent with Tang et al (2013). The finding has the important policy that changing behavior, such as improving irrigation water use efficiency should be stimulated through spreading information about water scarcity to farmers.…”
Section: Factors Affecting Resource Use Efficiencysupporting
confidence: 88%
“…While economic factors are important, it becomes increasingly recognized that decisionmaking in a risk context is seldomly perfectly rational and that behavioural factors such as risk perception along with perceived costs, benefits and self-efficacy affect individual adaptive decision-making (Dang et al 2014;Gebrehiwot and van der Veen 2015;Grothmann and Patt 2005;Liu 2013;Pidgeon and Fischhoff 2011;Schwarz and Ernst 2009). Research shows, for example, that farmers' drought risk perceptions are biased due to drought risk experience, perceived behavioural control and social networks (Tang et al 2013;Van Duinen et al 2015;Wheeler et al 2013). Biased risk perceptions could give rise to risky behaviour or excessively protective behaviour.…”
Section: Adoption Of Technologiesmentioning
confidence: 99%
“…This means that some relation between variables might be improved by interconnecting them. SEM results can be decomposed to the measurement model and the structural model [43]. While the measurement model defines the relationships between latent variables and their observed indicators, the structural model explains the relationships between and among exogenous and latent endogenous variables.…”
Section: Confirmatory Factor Analysismentioning
confidence: 99%
“…If we assume y = (y1, y2, y3,…yp) is vector of observable endogenous variables and x = (x1, x2, x3, …, xq) is vector of observable exogenous variables, the measurement model can be written as follow [43]: y = Λy η+ ε (4)…”
Section: Confirmatory Factor Analysismentioning
confidence: 99%
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