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Titlebook: Benchmarking for Performance Evaluation; A Production Frontie Subhash C. Ray,Subal C. Kumbhakar,Pami Dua Book 2015 The Editor(s) (if applic

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樓主: 愚蠢地活
11#
發(fā)表于 2025-3-23 09:55:08 | 只看該作者
Book 2015o of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, C
12#
發(fā)表于 2025-3-23 15:28:29 | 只看該作者
ernative methodologies – Stochastic Frontier Analysis, Data .This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (S
13#
發(fā)表于 2025-3-23 21:39:55 | 只看該作者
H. K. F. Saene,G. Sganga,L. Silvestrinted by estimating a conditional mean using convex nonparametric least squares (CNLS) followed by using standard SFA techniques to estimate the average efficiency and decompose the residual. Detailed descriptions of General Algebraic Modeling System (GAMS) and matrix laboratory (MATLAB) code will aid readers in implementing the StoNED estimator.
14#
發(fā)表于 2025-3-23 22:48:14 | 只看該作者
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發(fā)表于 2025-3-24 05:32:50 | 只看該作者
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發(fā)表于 2025-3-24 08:39:11 | 只看該作者
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發(fā)表于 2025-3-24 13:33:56 | 只看該作者
18#
發(fā)表于 2025-3-24 18:16:14 | 只看該作者
Dynamic Efficiency Measurement,amic efficiency measurement are offered. The vintage model of substitutability between inputs including capital before investment, but no substitution possibilities after investment, and ex post production possibilities characterised by fixed input coefficients, can rationalise inefficiency due to t
19#
發(fā)表于 2025-3-24 22:10:31 | 只看該作者
20#
發(fā)表于 2025-3-24 23:30:38 | 只看該作者
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