期刊全稱(chēng) | Benchmarking for Performance Evaluation | 期刊簡(jiǎn)稱(chēng) | A Production Frontie | 影響因子2023 | Subhash C. Ray,Subal C. Kumbhakar,Pami Dua | 視頻video | http://file.papertrans.cn/184/183382/183382.mp4 | 發(fā)行地址 | Rooted in the neoclassical economics of production, presents the analytical tools needed for efficiency analysis.Brings together all key alternative methodologies – Stochastic Frontier Analysis, Data | 圖書(shū)封面 |  | 影響因子 | .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 (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, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes..Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different context | Pindex | Book 2015 |
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