2010
DOI: 10.1016/j.chieco.2010.02.004
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Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping

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Cited by 44 publications
(30 citation statements)
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“…There also exists a large difference between the two kinds of score rankings. The DEA is essentially a descriptive tool that allows the analysis of the observed technology with deterministic but nonparametric frontiers where no statistical noise or random disturbance for the data is allowed (Kneip and Simar, 1996;Monchuk et al, 2010). However, neither output elasticity of the inputs 18 nor inference is available from DEA.…”
mentioning
confidence: 99%
“…There also exists a large difference between the two kinds of score rankings. The DEA is essentially a descriptive tool that allows the analysis of the observed technology with deterministic but nonparametric frontiers where no statistical noise or random disturbance for the data is allowed (Kneip and Simar, 1996;Monchuk et al, 2010). However, neither output elasticity of the inputs 18 nor inference is available from DEA.…”
mentioning
confidence: 99%
“…Measurement model can be built to study its spatial heterogeneity, as well as by temporal differences. Many scholars have probed into the path of agricultural water environmental improvement from the perspective of environmental efficiency [15,17,18], but seldom references can be found to study the environmental efficiency in WTE field. In fact, wasteto-energy environmental efficiency (WTEEE) can be better improved with the coordinated development of economy and environment.…”
Section: Variable Definition and Data Analysismentioning
confidence: 99%
“…Lilienfeld and Asmild (2007) in their studies have used DEA technique to determine the influence of labor, fertilizers, irrigation, capital and seeds on yields of various crops. Other authors have determined the efficiency of meat and grain production based on inputs such as mechanization, labor, fertilizers, sown area (Monchuk, Chen & Bonaparte, 2010). Author whose data and work are the most appropriate to analysis applied in this paper is Vennesland (2005).…”
Section: Introductionmentioning
confidence: 99%