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A literature review of economic efficiency assessments using Data Envelopment Analysis

Title
A literature review of economic efficiency assessments using Data Envelopment Analysis
Type
Another Publication in an International Scientific Journal
Year
2024
Authors
Ana Maria Cunha Ribeiro dos Santos Ponces Camanho
(Author)
FEUP
Silva, MC
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Piran, FS
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Lacerda, DP
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 315
Pages: 1-18
ISSN: 0377-2217
Publisher: Elsevier
Indexing
Other information
Authenticus ID: P-00Z-1J7
Abstract (EN): This paper presents a literature review on Data Envelopment Analysis assessments of economic efficiency, covering methodological developments and empirical applications. We review the seminal models for economic efficiency measurement, involving the optimization of cost, revenue, and profit. The applications of the different modelling approaches are also discussed. Based on a content analysis of papers published between 1978 and 2020 in various sectors, the main areas of study are identified, and the pathways of research developments are discussed. Most studies are based on disaggregated quantity and price data. In addition, the use of panel data is prevalent compared to cross-sectional studies. There is a preponderance of input -oriented studies focused on cost efficiency rather than revenue or profit efficiency. Informed by the historical evolution of economic efficiency assessments portrayed in this review, we suggest directions for future developments. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 18
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