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
Englisch

Erschienen in
Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 30 ; Year: 2020 ; Pages: 297-311

Klassifikation
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
production
productivity
efficiency
scientific production
frontierproduction models
panel data models

Ereignis
Geistige Schöpfung
(wer)
Gavilan Ruiz, José Manuel
Ortega Irizo, Francisco Javier
Ereignis
Veröffentlichung
(wer)
Universidad Pablo de Olavide
(wo)
Sevilla
(wann)
2020

DOI
doi:10.46661/revmetodoscuanteconempresa.3496
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Gavilan Ruiz, José Manuel
  • Ortega Irizo, Francisco Javier
  • Universidad Pablo de Olavide

Entstanden

  • 2020

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