A literature review of economic efficiency assessments using data envelopment analysis

Ana Santos Camanho; Maria Conceição Silva; Fabio Sartori Piran; Daniel Pacheco Lacerda

doi:10.1016/j.ejor.2023.07.027

A literature review of economic efficiency assessments using data envelopment analysis

Ana Santos Camanho^*, Maria Conceição Silva, Fabio Sartori Piran, Daniel Pacheco Lacerda

^*Autor correspondente para este trabalho

Resultado de pesquisa › revisão de pares

11 Citações (Scopus)

82 Transferências (Pure)

Resumo

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.

Idioma original	English
Páginas (de-até)	1-18
Número de páginas	18
Revista	European Journal of Operational Research
Volume	315
Número de emissão	1
DOIs	https://doi.org/10.1016/j.ejor.2023.07.027
Estado da publicação	Publicado - 16 mai. 2024

Acesso ao documento

10.1016/j.ejor.2023.07.027Licença:

75476172Final published version, 0,99 MBLicença:

http://hdl.handle.net/10400.14/42684Licença:

Outros arquivos e links

Link to publication in Scopus

eduBEST: Education systems benchmarking with frontier techniques
Silva, M. (Investigador) & Camanho, A. (PI)
1/01/23 → 31/12/25
Projeto
CEGE: Research Center in Management and Economics
Silva, M. (Professor Catedrático), Sousa, R. (Professor Catedrático), Alves, P. (Professor Auxiliar), Madsen, A. (Professor Auxiliar Convidado), Lourenço, A. (Professor Associado), Carvalho, A. S. (Professor Associado), Andrade, A. (Professor Auxiliar), Silva, P. D. (Professor Associado), Vlačić, B. (Professor Auxiliar Convidado), Martins, C. (Professor Auxiliar Convidado), Gomes, C. (Investigador Auxiliar), Gevrek, Z. E. (Professor Auxiliar Convidado), Oliveira, F. G. D. (Professor Associado), Faria, G. (Professor Associado Convidado), Marreiros, H. (Bolseiro), Pinho, J. (Professor Auxiliar Convidado), Machado, J. (Professor Associado), Araújo, J. (Investigador Auxiliar), Pinto, J. (Professor Auxiliar), Rego, A. (Professor Catedrático), Gaspar, J. M. (Investigador Auxiliar), Corbo, L. (Professor Auxiliar Convidado), Costa, L. (Professor Associado), Fernandes, L. (Professor Auxiliar), Sottomayor, M. (Professor Auxiliar), Martins, N. (Professor Catedrático), Hernández-Marrero, P. (Investigador Auxiliar), Gonçalves, R. (Professor Associado), Ribeiro, R. (PI), Coelho, S. L. (Docente Assistente), Pereira, S. M. (Investigador Auxiliar), Silva, S. (Professor Associado), Rodrigues, V. (Professor Associado), Sotiros, D. G. (Investigador Auxiliar), Valverde, C. (Professor Auxiliar), Leitão, A. (Professor Auxiliar), Julião, J. (Professor Auxiliar), Tavares, M. (Professor Auxiliar), Lages, C. R. (Investigador Auxiliar), Elmashhara, M. G. (Investigador Auxiliar) & Teymourifar, A. (Investigador Auxiliar)
1/01/20 → 31/12/24
Projeto

Citação

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title = "A literature review of economic efficiency assessments using data envelopment analysis",

abstract = "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.",

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author = "Camanho, {Ana Santos} and Silva, {Maria Concei{\c c}{\~a}o} and Piran, {Fabio Sartori} and Lacerda, {Daniel Pacheco}",

note = "Funding Information: This work is financed by National Funds through the FCT - Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology) within the project eduBEST - Education Systems Benchmarking with Frontier Techniques, with reference 2022.08686.PTDC. Publisher Copyright: {\textcopyright} 2023 The Author(s)",

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AU - Camanho, Ana Santos

AU - Silva, Maria Conceição

AU - Piran, Fabio Sartori

AU - Lacerda, Daniel Pacheco

N1 - Funding Information: This work is financed by National Funds through the FCT - Fundação para a Ciência e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology) within the project eduBEST - Education Systems Benchmarking with Frontier Techniques, with reference 2022.08686.PTDC. Publisher Copyright: © 2023 The Author(s)

PY - 2024/5/16

Y1 - 2024/5/16

N2 - 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.

AB - 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.

KW - Cost efficiency

KW - Data envelopment analysis

KW - Economic efficiency

KW - Profit efficiency

KW - Revenue efficiency

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SN - 0377-2217

VL - 315

SP - 1

EP - 18

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 1

ER -

A literature review of economic efficiency assessments using data envelopment analysis

Resumo

Acesso ao documento

Outros arquivos e links

Impressão digital

Projetos

eduBEST: Education systems benchmarking with frontier techniques

CEGE: Research Center in Management and Economics

Citação