A regional approach to the study of industrial diversity in Argentina (1996–2012)

The aim of this paper is to quantify the productive diversity of the manufacturing industry in the provinces of Argentina, to analyse trends in productive diversity between 1996 and 2012, and to identify the main related economic factors. A diversity index is calculated based on official data on total registered wage employment from the Dynamic Employment Analysis Database (BADE). An analysis is then performed of trends in diversity in the different provinces over the period. Lastly, an econometric panel data model is estimated to identify the main related economic factors. The industrial diversity of the provinces is negatively associated with withdrawal of firms and positively associated with level of development, region size, higher levels of urbanization and greater territorial capabilities. The results of this study can be used to design policies to promote regional diversity.

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Bibliographic Details
Main Authors: Belmartino, Andrea, Calá, Carla Daniela
Format: Texto biblioteca
Language:English
Published: 2020-04-20
Subjects:INDUSTRIA, EMPRESAS INDUSTRIALES, EMPRESAS MANUFACTURERAS, PRODUCTOS MANUFACTURADOS, MODELOS ECONOMETRICOS, ESTADISTICAS INDUSTRIALES, INDUSTRY, INDUSTRIAL ENTERPRISES, MANUFACTURING ENTERPRISES, MANUFACTURES, ECONOMETRIC MODELS, INDUSTRIAL STATISTICS,
Online Access:https://hdl.handle.net/11362/45978
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spelling dig-cepal-11362-459782023-03-06T18:09:00Z A regional approach to the study of industrial diversity in Argentina (1996–2012) Belmartino, Andrea Calá, Carla Daniela INDUSTRIA EMPRESAS INDUSTRIALES EMPRESAS MANUFACTURERAS PRODUCTOS MANUFACTURADOS MODELOS ECONOMETRICOS ESTADISTICAS INDUSTRIALES INDUSTRY INDUSTRIAL ENTERPRISES MANUFACTURING ENTERPRISES MANUFACTURES ECONOMETRIC MODELS INDUSTRIAL STATISTICS The aim of this paper is to quantify the productive diversity of the manufacturing industry in the provinces of Argentina, to analyse trends in productive diversity between 1996 and 2012, and to identify the main related economic factors. A diversity index is calculated based on official data on total registered wage employment from the Dynamic Employment Analysis Database (BADE). An analysis is then performed of trends in diversity in the different provinces over the period. Lastly, an econometric panel data model is estimated to identify the main related economic factors. The industrial diversity of the provinces is negatively associated with withdrawal of firms and positively associated with level of development, region size, higher levels of urbanization and greater territorial capabilities. The results of this study can be used to design policies to promote regional diversity. 2020-09-01T21:17:30Z 2020-09-01T21:17:30Z 2020-04-20 Texto Sección o Parte de un Documento https://hdl.handle.net/11362/45978 LC/PUB.2020/4-P 6 en CEPAL Review CEPAL Review 130 .pdf application/pdf 1996 ARGENTINA ARGENTINA 2012
institution CEPAL
collection DSpace
country Chile
countrycode CL
component Bibliográfico
access En linea
databasecode dig-cepal
tag biblioteca
region America del Sur
libraryname Biblioteca Hernán Santa Cruz
language English
topic INDUSTRIA
EMPRESAS INDUSTRIALES
EMPRESAS MANUFACTURERAS
PRODUCTOS MANUFACTURADOS
MODELOS ECONOMETRICOS
ESTADISTICAS INDUSTRIALES
INDUSTRY
INDUSTRIAL ENTERPRISES
MANUFACTURING ENTERPRISES
MANUFACTURES
ECONOMETRIC MODELS
INDUSTRIAL STATISTICS
INDUSTRIA
EMPRESAS INDUSTRIALES
EMPRESAS MANUFACTURERAS
PRODUCTOS MANUFACTURADOS
MODELOS ECONOMETRICOS
ESTADISTICAS INDUSTRIALES
INDUSTRY
INDUSTRIAL ENTERPRISES
MANUFACTURING ENTERPRISES
MANUFACTURES
ECONOMETRIC MODELS
INDUSTRIAL STATISTICS
spellingShingle INDUSTRIA
EMPRESAS INDUSTRIALES
EMPRESAS MANUFACTURERAS
PRODUCTOS MANUFACTURADOS
MODELOS ECONOMETRICOS
ESTADISTICAS INDUSTRIALES
INDUSTRY
INDUSTRIAL ENTERPRISES
MANUFACTURING ENTERPRISES
MANUFACTURES
ECONOMETRIC MODELS
INDUSTRIAL STATISTICS
INDUSTRIA
EMPRESAS INDUSTRIALES
EMPRESAS MANUFACTURERAS
PRODUCTOS MANUFACTURADOS
MODELOS ECONOMETRICOS
ESTADISTICAS INDUSTRIALES
INDUSTRY
INDUSTRIAL ENTERPRISES
MANUFACTURING ENTERPRISES
MANUFACTURES
ECONOMETRIC MODELS
INDUSTRIAL STATISTICS
Belmartino, Andrea
Calá, Carla Daniela
A regional approach to the study of industrial diversity in Argentina (1996–2012)
description The aim of this paper is to quantify the productive diversity of the manufacturing industry in the provinces of Argentina, to analyse trends in productive diversity between 1996 and 2012, and to identify the main related economic factors. A diversity index is calculated based on official data on total registered wage employment from the Dynamic Employment Analysis Database (BADE). An analysis is then performed of trends in diversity in the different provinces over the period. Lastly, an econometric panel data model is estimated to identify the main related economic factors. The industrial diversity of the provinces is negatively associated with withdrawal of firms and positively associated with level of development, region size, higher levels of urbanization and greater territorial capabilities. The results of this study can be used to design policies to promote regional diversity.
format Texto
topic_facet INDUSTRIA
EMPRESAS INDUSTRIALES
EMPRESAS MANUFACTURERAS
PRODUCTOS MANUFACTURADOS
MODELOS ECONOMETRICOS
ESTADISTICAS INDUSTRIALES
INDUSTRY
INDUSTRIAL ENTERPRISES
MANUFACTURING ENTERPRISES
MANUFACTURES
ECONOMETRIC MODELS
INDUSTRIAL STATISTICS
author Belmartino, Andrea
Calá, Carla Daniela
author_facet Belmartino, Andrea
Calá, Carla Daniela
author_sort Belmartino, Andrea
title A regional approach to the study of industrial diversity in Argentina (1996–2012)
title_short A regional approach to the study of industrial diversity in Argentina (1996–2012)
title_full A regional approach to the study of industrial diversity in Argentina (1996–2012)
title_fullStr A regional approach to the study of industrial diversity in Argentina (1996–2012)
title_full_unstemmed A regional approach to the study of industrial diversity in Argentina (1996–2012)
title_sort regional approach to the study of industrial diversity in argentina (1996–2012)
publishDate 2020-04-20
url https://hdl.handle.net/11362/45978
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