Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach

This paper provides a new methodology for the detection of productive key sectors within a national (or regional) economy. In contrast with other methods applied so far, this one presents two innovations. Firstly, the so-called traditional models, which are based on building normalised backward and...

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Autores: Cardenete Flores, Manuel Alejandro, Llanes Díaz-Salazar, Gaspar, Lima Díaz, M.ª Carmen, Rodríguez Morilla, Carmen
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/3958
Acceso en línea:https://hdl.handle.net/20.500.12412/3958
Access Level:acceso abierto
Palabra clave:Input - Output Tables
Social Accounting Matrix
National accounting
Key sectors
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spelling Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative ApproachCardenete Flores, Manuel AlejandroLlanes Díaz-Salazar, GasparLima Díaz, M.ª CarmenRodríguez Morilla, CarmenInput - Output TablesSocial Accounting MatrixNational accountingKey sectorsThis paper provides a new methodology for the detection of productive key sectors within a national (or regional) economy. In contrast with other methods applied so far, this one presents two innovations. Firstly, the so-called traditional models, which are based on building normalised backward and forward linkage indicators, are combined with more modern extraction models. Secondly, Social Accounting Matrices (SAM) are the databases used instead of Input-Output Tables (IOT), in order to determine those indicators. This paper attempts to show the advantages of this system by empirically applying it to the SAM for Spain in the year 2000, in order to detect the key sectors in Spanish economy.2008info:eu-repo/semantics/articlehttps://hdl.handle.net/20.500.12412/3958reponame:Brújulainstname:Universidad Loyola AndalucíaIngléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uloyola.es:20.500.12412/39582026-06-24T12:48:37Z
dc.title.none.fl_str_mv Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
title Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
spellingShingle Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
Cardenete Flores, Manuel Alejandro
Input - Output Tables
Social Accounting Matrix
National accounting
Key sectors
title_short Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
title_full Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
title_fullStr Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
title_full_unstemmed Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
title_sort Detection of Key Sectors by Using a Social Accounting Matrices: an Alternative Approach
dc.creator.none.fl_str_mv Cardenete Flores, Manuel Alejandro
Llanes Díaz-Salazar, Gaspar
Lima Díaz, M.ª Carmen
Rodríguez Morilla, Carmen
author Cardenete Flores, Manuel Alejandro
author_facet Cardenete Flores, Manuel Alejandro
Llanes Díaz-Salazar, Gaspar
Lima Díaz, M.ª Carmen
Rodríguez Morilla, Carmen
author_role author
author2 Llanes Díaz-Salazar, Gaspar
Lima Díaz, M.ª Carmen
Rodríguez Morilla, Carmen
author2_role author
author
author
dc.subject.none.fl_str_mv Input - Output Tables
Social Accounting Matrix
National accounting
Key sectors
topic Input - Output Tables
Social Accounting Matrix
National accounting
Key sectors
description This paper provides a new methodology for the detection of productive key sectors within a national (or regional) economy. In contrast with other methods applied so far, this one presents two innovations. Firstly, the so-called traditional models, which are based on building normalised backward and forward linkage indicators, are combined with more modern extraction models. Secondly, Social Accounting Matrices (SAM) are the databases used instead of Input-Output Tables (IOT), in order to determine those indicators. This paper attempts to show the advantages of this system by empirically applying it to the SAM for Spain in the year 2000, in order to detect the key sectors in Spanish economy.
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12412/3958
url https://hdl.handle.net/20.500.12412/3958
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Brújula
instname:Universidad Loyola Andalucía
instname_str Universidad Loyola Andalucía
reponame_str Brújula
collection Brújula
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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