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Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in taiwan

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TLDR
The relational model developed in this paper is more reliable in measuring the efficiencies and consequently is capable of identifying the causes of inefficiency more accurately.
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This article is published in European Journal of Operational Research.The article was published on 2008-02-16. It has received 1112 citations till now. The article focuses on the topics: Data envelopment analysis & Inefficiency.

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A survey of DEA applications

TL;DR: This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010, and suggests that the two-step contextual analysis and network DEA are the recent trends across applications.
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Additive efficiency decomposition in two-stage DEA

TL;DR: The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages and can be applied under both CRS and variable returns to scale (VRS) assumptions.
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Data envelopment analysis 1978-2010: A citation-based literature survey

TL;DR: The five most active DEA subareas in recent years are identified; among them the “two-stage contextual factor evaluation framework” is relatively more active.
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Network data envelopment analysis: A review

TL;DR: This paper reviews studies on network DEA by examining the models used and the structures of the network system of the problem being studied, and highlights some directions for future studies from the methodological point of view.
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Efficiency decomposition in network data envelopment analysis: A relational model

TL;DR: This paper builds a relational network DEA model, taking into account the interrelationship of the processes within the system, to measure the efficiency of the system and those of the process at the same time, and decomposes the system efficiency into the sum of the inefficiency slacks of its component processes connected in parallel.
References
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Journal ArticleDOI

Measuring the efficiency of decision making units

TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
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Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis

TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
Book

Applied nonparametric statistics

TL;DR: In this paper, applied nonparametric statistics are applied to the problem of applied non-parametric statistical data collection in the context of the application of applied NN statistics, including:
Book

Applied nonparametric statistics

TL;DR: In this article, applied nonparametric statistics are applied to the problem of applied non-parametric statistical data collection in the context of the application of applied NN statistics, including:
Book

"Data Envelopment Analysis: Theory, Methodology, and Applications"

TL;DR: In this article, the authors present DEA Software Packages for the U.S. Airline Industry and present a Spatial Efficiency Framework for the Support of Locational Decision (SELF).
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