Artikel
Productive efficiency analysis of quantitative economics journals through stochastic frontier analysis using panel data
The main goal of a scientific journal is to diffuse new knowledge. The number of citations received by a journal can be considered as a measure of this objective and, in turn, as a measure of productivity in relation to the production process in which the journals are involved. In order to assess this production process, in this paper econometric models using data panel are employed to obtain measures of efficiency for those journals belonging simultaneously to the areas of 'economics' and 'social science, mathematical methods' in the Web of Science database. This efficiency is measured in terms of the distance between the actual production of the journals and their estimated maximum achievable number of citations based on their available resources.
- Weitere Titel
-
Análisis de eficiencia productiva de revistas de economía cuantitativa a través del análisis de frontera estocástica utilizando datos de panel
- Sprache
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Englisch
- Erschienen in
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Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 30 ; Year: 2020 ; Pages: 297-311
- Klassifikation
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Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Specific Distributions; Specific Statistics
Model Construction and Estimation
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- Thema
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production
productivity
efficiency
scientific production
frontierproduction models
panel data models
- Ereignis
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Geistige Schöpfung
- (wer)
-
Gavilan Ruiz, José Manuel
Ortega Irizo, Francisco Javier
- Ereignis
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Veröffentlichung
- (wer)
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Universidad Pablo de Olavide
- (wo)
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Sevilla
- (wann)
-
2020
- DOI
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doi:10.46661/revmetodoscuanteconempresa.3496
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:45 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Gavilan Ruiz, José Manuel
- Ortega Irizo, Francisco Javier
- Universidad Pablo de Olavide
Entstanden
- 2020