Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014

This paper describes the structure and estimation of a Social Accounting Matrix (SAM) of Kenya for the year 2014. Among its specificities, this SAM includes a very high disaggregation of the agri-food sector and accounts for the double role of households as producers and consumers. Accounting for th...

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Autores: Mainar Causapé, Alfredo José, Boulanger, Pierre, Dudu, Hasan, Ferrari, Emanuele
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/138179
Acceso en línea:https://hdl.handle.net/11441/138179
https://doi.org/10.1111/rode.12667
Access Level:acceso abierto
Palabra clave:Home production for home consumption
Kenyan economy
Linear multisectoral model
Social Accounting Matrices
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spelling Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014Mainar Causapé, Alfredo JoséBoulanger, PierreDudu, HasanFerrari, EmanueleHome production for home consumptionKenyan economyLinear multisectoral modelSocial Accounting MatricesThis paper describes the structure and estimation of a Social Accounting Matrix (SAM) of Kenya for the year 2014. Among its specificities, this SAM includes a very high disaggregation of the agri-food sector and accounts for the double role of households as producers and consumers. Accounting for these characteristics is crucial to provide robust socioeconomic analysis in the context of developing countries. Indeed, this type of database is valuable to perform ex-ante evaluations of economic policies with various economic models and techniques. In this paper, we present an application with a linear multiplier analysis (backward linkages and value chain decomposition). The results show the capacity of the primary sector in Kenya to generate value added and employment, with this growth distributed more intensely in rural households whose main livelihood is semi-subsistence agriculture.Blackwell PublishersFísica Aplicada III2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/11441/138179https://doi.org/10.1111/rode.12667reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésReview of development economic, 24 (3), 22 p.-1128.https://onlinelibrary.wiley.com/doi/epdf/10.1111/rode.12667info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1381792026-06-17T12:51:07Z
dc.title.none.fl_str_mv Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
title Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
spellingShingle Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
Mainar Causapé, Alfredo José
Home production for home consumption
Kenyan economy
Linear multisectoral model
Social Accounting Matrices
title_short Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
title_full Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
title_fullStr Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
title_full_unstemmed Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
title_sort Policy impact assessment in developing countries using Social Accounting Matrices: the Kenya SAM 2014
dc.creator.none.fl_str_mv Mainar Causapé, Alfredo José
Boulanger, Pierre
Dudu, Hasan
Ferrari, Emanuele
author Mainar Causapé, Alfredo José
author_facet Mainar Causapé, Alfredo José
Boulanger, Pierre
Dudu, Hasan
Ferrari, Emanuele
author_role author
author2 Boulanger, Pierre
Dudu, Hasan
Ferrari, Emanuele
author2_role author
author
author
dc.contributor.none.fl_str_mv Física Aplicada III
dc.subject.none.fl_str_mv Home production for home consumption
Kenyan economy
Linear multisectoral model
Social Accounting Matrices
topic Home production for home consumption
Kenyan economy
Linear multisectoral model
Social Accounting Matrices
description This paper describes the structure and estimation of a Social Accounting Matrix (SAM) of Kenya for the year 2014. Among its specificities, this SAM includes a very high disaggregation of the agri-food sector and accounts for the double role of households as producers and consumers. Accounting for these characteristics is crucial to provide robust socioeconomic analysis in the context of developing countries. Indeed, this type of database is valuable to perform ex-ante evaluations of economic policies with various economic models and techniques. In this paper, we present an application with a linear multiplier analysis (backward linkages and value chain decomposition). The results show the capacity of the primary sector in Kenya to generate value added and employment, with this growth distributed more intensely in rural households whose main livelihood is semi-subsistence agriculture.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/138179
https://doi.org/10.1111/rode.12667
url https://hdl.handle.net/11441/138179
https://doi.org/10.1111/rode.12667
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Review of development economic, 24 (3), 22 p.-1128.
https://onlinelibrary.wiley.com/doi/epdf/10.1111/rode.12667
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Blackwell Publishers
publisher.none.fl_str_mv Blackwell Publishers
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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