2020
DOI: 10.3390/w12113193
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An Evaluation of Irrigation Water Use Efficiency in Crop Production Using a Data Envelopment Analysis Approach: A Case of Louisiana, USA

Abstract: The primary objective of this study is to estimate and evaluate the technical efficiency of irrigation water use in soybean (Glycine max L.) production in Louisiana, USA. We conducted a farm-level survey to assess information regarding irrigation cost, the volume of water application, and crop yield per acre during the crop year 2016. We use smoothed heterogeneous bootstrapping procedures in conventional data envelopment analysis (DEA) and supplement it with a nonradial measure of efficiency known as the Russe… Show more

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Cited by 15 publications
(8 citation statements)
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“…Among all these methodologies, DEA tends to be superior in evaluating multi-input and multi-output decision-making units (DMUs) based on a mathematical programming method, without dimensionless processing of data, prior identification of functional relationships, or setting nonsubjective weights to each parameters (Wang et al, 2018a). DEA and its modified methodology gained extensive application worldwide, to comprehensively evaluate water use and assist decision-making (Hu et al, 2018;Gautam et al, 2020;Laureti et al, 2021). The national, provincial, and catchment research of WUE based on the methodology mentioned above reached broad consensus in China that the WUE is steadily improving, but still remains at a low level in general (Mu et al, 2016;Hai et al, 2018;Geng et al, 2019;Guo et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Among all these methodologies, DEA tends to be superior in evaluating multi-input and multi-output decision-making units (DMUs) based on a mathematical programming method, without dimensionless processing of data, prior identification of functional relationships, or setting nonsubjective weights to each parameters (Wang et al, 2018a). DEA and its modified methodology gained extensive application worldwide, to comprehensively evaluate water use and assist decision-making (Hu et al, 2018;Gautam et al, 2020;Laureti et al, 2021). The national, provincial, and catchment research of WUE based on the methodology mentioned above reached broad consensus in China that the WUE is steadily improving, but still remains at a low level in general (Mu et al, 2016;Hai et al, 2018;Geng et al, 2019;Guo et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…While other studies highlight the improvement in water-use efficiency achieved by installing DI (Ali et al 2020), they point to other factors that limit efficiency. For example, the training of farmers and technicians in the WUAs, the size of the farms or the proper management and organization of the irrigation procedures (Pereira and Marques 2017;Ali et al 2020;Cao et al 2020, Gautam et al 2020). These factors could also explain the differences in efficiency between WUAs with similar characteristics in this study.…”
Section: Resultsmentioning
confidence: 99%
“…The DEA model is widely used for measuring WUE due to its ability to evaluate efficiency without assuming a specific form of production function or specifying weights on inputs and outputs ahead of time (Hu et al, 2006; Shi et al, 2021). It has been employed worldwide to evaluate WUE in developed and developing countries, including the United States (Gamze et al, 2018; Gautam et al, 2020), Australia (Azad et al, 2014), Vietnam (Tran et al, 2021), and South Africa (Brettenny & Sharp, 2016).…”
Section: Methodology and Datamentioning
confidence: 99%