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Un analisis de la productividad del comercio en las Comunidades Autonomas españolas

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Author Info
Vazquez, Emilia ()
Rodriguez, X.A. ()

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Abstract

Medir adecuadamente la productividad no resulta facil en general, y resulta mucho mas complicado en el ambito del sector comercial, debido a la escasez de datos y a la dificultad para cuantificar de forma detallada los distintos factores productivos y productos. En este trabajo, despues de efectuar una breve referencia al marco teorico que nos sirve de base y de exponer el procedimiento de calculo de las variables a utilizar, cuantificamos un indice de productividad total para este sector, lo que nos permite ver el comportamiento diferenciado de este indicador en las distintas Comunidades Autonomas. Este estudio se completa con la elaboracion de un modelo econometrico que nos permite deducir cuales son los factores determinantes de la divergencia en la productividad.

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Publisher Info
Paper provided by University of Santiago de Compostela. Faculty of Economics and Business. Econometrics. in its series Economic Development with number 21.

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Length: 13 pages
Date of creation: 1997
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Handle: RePEc:eaa:ecodev:21

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Usher, D, 1974. "The Suitability of the Divisia Index for the Measurement of Economic Aggregates," Review of Income and Wealth, Blackwell Publishing, vol. 20(3), pages 273-88, September.
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  2. Guisan, M.Carmen & Aguayo, Eva, 1996. "Factores determinantes del empleo del sector servicios en las regiones españolas," Economic Development 7, University of Santiago de Compostela. Faculty of Economics and Business. Econometrics.. [Downloadable!]
  3. Guisan, M.C. & Frias, I., 1995. "An Interregional Econometric Model for Market Services Employment in 120 EEC Regions," Faculty of Economics 01, Universidad de Santiago de Compostela, Faculty of Economics, Applied Econometric and Quantitative Studies.
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