2022
DOI: 10.1016/j.jclepro.2022.131200
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Spatial differentiation of agricultural water resource utilization efficiency in the Yangtze River Economic Belt under changing environment

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Cited by 39 publications
(16 citation statements)
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“…However, the traditional DEA method has difficulty in comparing and evaluating multiple effective decision-making units, and it cannot explain cases where the efficiency value is greater than 1. Therefore, Andersen and Petersen (1993) proposed the Super-Efficiency Data Envelopment Analysis (SE-DEA) model, which solves the problem that the traditional DEA model faces, where it cannot perform an evaluation when multiple evaluation units are in the same production front [26], and, in such cases, the SE-DEA model is widely used [27,28].…”
Section: Introductionmentioning
confidence: 99%
“…However, the traditional DEA method has difficulty in comparing and evaluating multiple effective decision-making units, and it cannot explain cases where the efficiency value is greater than 1. Therefore, Andersen and Petersen (1993) proposed the Super-Efficiency Data Envelopment Analysis (SE-DEA) model, which solves the problem that the traditional DEA model faces, where it cannot perform an evaluation when multiple evaluation units are in the same production front [26], and, in such cases, the SE-DEA model is widely used [27,28].…”
Section: Introductionmentioning
confidence: 99%
“…Nominal irrigation efficiency: estimated irrigation water use efficiency of the largest plot of each farmer growing spring potatoes based on a superefficient data envelopment analysis (DEA) model. The current assessment of irrigation efficiency is primarily based on the traditional DEA method [37][38][39][40] and superefficient DEA methods [41,42]. The main purpose of this study is to measure the difference in efficiency between the samples; however, the problem of simultaneous validity of several decision units arises when estimating irrigation efficiency using traditional DEA methods (efficiency equal to 1), which makes further comparisons impossible and thus affects the accuracy of the parameters.…”
Section: Dependent Variablementioning
confidence: 99%
“…For example, Chen, et al [ 24 ] used this model to calculate China’s agricultural sector’s green total factor productivity. Shi, et al [ 25 ] used this model to calculate the utilization efficiency of agricultural water resources in the Yangtze River Basin of China.…”
Section: Literature Review and Theoretical Hypothesismentioning
confidence: 99%