Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data || Análisis de eficiencia productiva de revistas de economía cuantitativa a través del análisis de frontera estocástica utilizando datos de panel

José M. Gavilan () and Francisco J. Ortega ()
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José M. Gavilan: Faculty of Economics and Business Studies - University of Seville (Spain)
Francisco J. Ortega: Faculty of Economics and Business Studies - University of Seville (Spain)

Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, 2020, vol. 30, issue 1, 297-311

Abstract: 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.

Keywords: production; productivity; efficiency; scientific production; frontier production models; panel data models. (search for similar items in EconPapers)
JEL-codes: C23 C46 C51 D24 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:pab:rmcpee:v:30:y:2020:i:1:p:297-311

DOI: 10.46661/revmetodoscuanteconempresa.3496

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