Two-Stage Network DEA with Bad Outputs

2014 ◽  
pp. 451-474 ◽  
Author(s):  
Hirofumi Fukuyama ◽  
William L. Weber
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Bad Outputs

Composition versus decomposition in two-stage network DEA: a reverse approach

2014 ◽  
Vol 45 (1) ◽  
pp. 71-87 ◽  
Author(s):  
Dimitris K. Despotis ◽  
Gregory Koronakos ◽  
Dimitris Sotiros
Keyword(s):  
Two Stage ◽  
Network Dea

scholarly journals Research on the Operating Efficiency of Chinese Listed Pharmaceutical Companies Based on Two-Stage Network DEA and Malmquist

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Tsung-Xian Lin ◽  
Zhong-huan Wu ◽  
Xiao-xia Ji ◽  
Jia-jia Yang
Keyword(s):  
Positive Impact ◽  
Efficiency Index ◽  
Rapid Expansion ◽  
Productivity Index ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Pharmaceutical Companies ◽  
Two Stage ◽  
Network Dea ◽  
Dynamic Perspective

The development of pharmaceutical companies, which is an important part of the national economy and industry, is closely related to people’s livelihood issues. With the era of big data, this paper uses the two-stage DEA and Malmquist method to evaluate the efficiency of listed Chinese pharmaceutical companies. From a static and dynamic perspective, it analyses the total factor productivity index, pure efficiency change index, scale efficiency index, and so on. The results show that government subsidies have not had a positive impact on most Chinese pharmaceutical companies, and for films, diseconomies of scale caused by rapid expansion should be avoided.

Performance evaluation in a two-stage network-DEA with intermediate products

2021 ◽  
Vol 13 (1) ◽  
pp. 42
Author(s):  
Hoda Golshani ◽  
Mohammad Khoveyni ◽  
Hadi Bagherzadeh Valami ◽  
Robabeh Eslami
Keyword(s):  
Performance Evaluation ◽  
Two Stage ◽  
Network Dea ◽  
Intermediate Products

Radial Models for Classifying Flexible Measures in Two-Stage Network DEA

2021 ◽  
pp. 483-500
Author(s):  
Seyede Nasrin Hosseini Monfared ◽  
Farhad Hosseinzadeh Lotfi ◽  
Mohammad Reza Mozaffari ◽  
Mohsen Rostamy Malkhalifeh
Keyword(s):  
Two Stage ◽  
Network Dea

Two-stage additive network DEA: Duality, frontier projection and divisional efficiency

2020 ◽  
Vol 157 ◽  
pp. 113478 ◽  
Author(s):  
Chuanyin Guo ◽  
Jian Zhang ◽  
Linyan Zhang
Keyword(s):  
Two Stage ◽  
Network Dea

scholarly journals Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model

2017 ◽  
Vol 2 (3) ◽  
pp. 161-192 ◽  
Author(s):  
Guo-Liang Yang ◽  
Yao-Yao Song ◽  
Dong-Ling Xu ◽  
Jian-Bo Yang
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Model ◽  
Overall Efficiency

Cost and learning efficiency drivers in Australian schools: a two-stage network DEA approach

2016 ◽  
Vol 48 (38) ◽  
pp. 3577-3604 ◽  
Author(s):  
Peter Wanke ◽  
Vincent Blackburn ◽  
Carlos Pestana Barros
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Learning Efficiency ◽  
Dea Approach

scholarly journals A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design

2019 ◽  
Vol 11 (16) ◽  
pp. 4401 ◽  
Author(s):  
Haitao Li ◽  
Jie Xiong ◽  
Jianhui Xie ◽  
Zhongbao Zhou ◽  
Jinlong Zhang
Keyword(s):  
Performance Evaluation ◽  
Product Design ◽  
Bargaining Game ◽  
Nash Bargaining ◽  
Sustainable Product Design ◽  
Two Stage ◽  
Network Dea ◽  
Nash Bargaining Game ◽  
Efficiency Decomposition ◽  
Sustainable Product

Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and priority decomposition. These models were developed on the basis of different assumptions that led to different efficiency decompositions and thus confusion among researchers. The current paper attempts to reconcile these differences by redefining the fairness of efficiency decomposition based on efficiency rank, and develops a rank-based model with two parameters. In our new rank-based model, these three efficiency decomposition methods can be treated as special cases where these parameters take special values. By showing the continuity of the Pareto front, we simplify the uniform efficiency decomposition, and indicate that the uniform efficiency decomposition and Nash bargaining game decomposition can converge to the same efficiency decomposition. To demonstrate the merits of our model, we use data from the literature to evaluate the performance of 10 Chinese banks, and compare the different efficiency decompositions created by different methods. Last, we apply the proposed model to the performance evaluation of sustainable product design in the automobile industry.

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