Decomposition weights and overall efficiency in two-stage additive network DEA

This paper evaluates National Basketball Association teams performance using a two-stage approach under a metafrontier framework. Our approach decomposes overall efficiency into salary-cap and on-court efficiency. Organizational gaps between different organizational structures are calculated as well. The introduction of the salary cap as an important element for a competitive market preventing monopoly formation allows the examination of the effects on different types of performance. Findings reveal that teams experience increased performance while organizational gaps decline. Moreover, a [Formula: see text] and [Formula: see text] convergence analysis reveals convergence patterns. Finally, the catch-up index denotes that the speed of convergence increases, especially after the salary cap policy implementation.

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

Mathematical Problems in Engineering ◽

10.1155/2021/1475781 ◽

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.

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

International Journal of Information and Decision Sciences ◽

10.1504/ijids.2021.113600 ◽

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

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

Advances in Intelligent Systems and Computing - Progress in Intelligent Decision Science ◽

10.1007/978-3-030-66501-2_38 ◽

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

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

Expert Systems with Applications ◽

10.1016/j.eswa.2020.113478 ◽

2020 ◽

Vol 157 ◽

pp. 113478 ◽

Cited By ~ 1

Author(s):

Chuanyin Guo ◽

Jian Zhang ◽

Linyan Zhang

Keyword(s):

Two Stage ◽

Network Dea

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Measurement of innovation resource allocation efficiency in civil–military integration enterprises

Kybernetes ◽

10.1108/k-10-2018-0538 ◽

2019 ◽

Vol 49 (3) ◽

pp. 835-851 ◽

Cited By ~ 1

Author(s):

Zilong Wang ◽

Zhiwen Zhang ◽

Ng Choon Yeong Jhony

Keyword(s):

Resource Allocation ◽

Tobit Model ◽

Two Stage ◽

Content Type ◽

Innovation Activities ◽

Resource Allocation Efficiency ◽

Dea Method ◽

Overall Efficiency ◽

Positive Effect ◽

Stage Efficiency

Purpose As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with its limited financial and human resources. Nonetheless, what is the efficiency of the allocation of innovative resources for civil–military integration enterprises, and what factors hinder its efficiency improvement? The purpose of this paper is to explore these problems. Design/methodology/approach The improved two-stage network data envelopment analysis (DEA) method is used to measure the overall efficiency and stage efficiency of the innovation resource allocation of 58 Chinese civil–military integration listed companies from 2010 to 2016. Tobit model is used to analyze the influencing factors of resource allocation efficiency. Findings The results indicate that the overall efficiency and stage efficiency of innovation resource allocation fluctuate in varying degrees during the period. The optimization of overall efficiency is restricted by lower efficiency of innovation achievement transformation. Enterprise scale was found to have a significant negative impact on both overall and two-stage efficiencies. Proportion of research and development (R&D) personnel had a positive effect on the overall and two-stage efficiency. Government support had a significant positive effect on the stage of innovation resource development and overall efficiency. Originality/value Previous research studies have used either the DEA or stochastic frontier analysis method to measure the efficiency of innovation activities as a whole and ignored the stage of initial investment to final output in innovation activities. That is, the process in which initial input of R&D resources becomes innovation output, and then becomes economic benefits. Therefore, this paper studies the efficiency of innovation resource allocation of civil–military integration listed companies. The improved two-stage chain network DEA method and Tobit model were used.

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

Applied Economics ◽

10.1080/00036846.2016.1142656 ◽

2016 ◽

Vol 48 (38) ◽

pp. 3577-3604 ◽

Cited By ~ 5

Author(s):

Peter Wanke ◽

Vincent Blackburn ◽

Carlos Pestana Barros

Keyword(s):

Two Stage ◽

Network Dea ◽

Learning Efficiency ◽

Dea Approach

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