Policies to reduce the problem (not perceived) of people located in Vulnerable Areas

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This research work starts with the question: What would be the reason why our compatriots choose to live in vulnerable areas, exposing their own life and that of their relatives? This question is relevant because it affects millions of compatriots (36% of the population, according to the Ministry of...

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Detalles Bibliográficos
Autor: Robles Laynes, José
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/16434
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/16434
Nivel de acceso:acceso abierto
Materia:Demography; Governmental factors; Social Groups; Systems simulation
Demografía; factores gubernamentales; grupos sociales; simulación de sistemas
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spelling Policies to reduce the problem (not perceived) of people located in Vulnerable AreasPolíticas para reducir el problema (no percibido) de las personas ubicadas en Áreas VulnerablesRobles Laynes, JoséDemography; Governmental factors; Social Groups; Systems simulationDemografía; factores gubernamentales; grupos sociales; simulación de sistemasThis research work starts with the question: What would be the reason why our compatriots choose to live in vulnerable areas, exposing their own life and that of their relatives? This question is relevant because it affects millions of compatriots (36% of the population, according to the Ministry of the Environment) and is applicable to any part of Peru. To answer the question an explanatory model is proposed, indicating variables of analysis, and their possible relationships, to make simulations, from the model. It is necessary to consider that the objective of the simulations is not to provide exact results, but to describe possible future behaviors, considering the actions that we take in the present. The proposed model considers a horizon of 50 years, and indicates that only if the problem is treated intensively the percentage of people in vulnerable areas could be reduced after a decade. Likewise, it is concluded that if actions are not taken, people located in vulnerable areas would represent 51% of the population in the period analyzed. In that sense, the policies that would contribute to reduce the percentage of people in vulnerable areas are: relocation, education and the improvement in the effectiveness of public spending.Este trabajo parte de la interrogante: ¿Cuál sería la razón por la cual nuestros compatriotas optan viven en áreas vulnerables, exponiendo su vida y la de sus familiares? Esta pregunta es relevante porque afecta a millones de compatriotas (36% de la población, según el Ministerio del Ambiente) y es aplicable a cualquier parte del Perú. Para responder a esta pregunta se propone un modelo explicativo, señalándose variables de análisis, y sus posibles relaciones, para luego realizar simulaciones. Es necesario considerar que el objetivo de las simulaciones no es brindar resultados exactos, sino describir posibles comportamientos futuros, sobre la base de las acciones que tomemos en el presente. El modelo planteado considera un horizonte de 50 años, e indica que sólo si se trata el problema en forma intensiva, el porcentaje de personas en áreas vulnerables podría reducirse luego de una década. Asimismo, se concluye que si no se toman acciones, las personas ubicadas en áreas vulnerables representarían el 51% de la población en el periodo analizado. En ese sentido, las políticas que más aportarían a reducir el porcentaje de personas en áreas vulnerables son: la reubicación, la promoción de la educación y la mejora en la eficacia del gasto público.Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería de Sistemas e Informática2019-07-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/1643410.15381/rpcs.v2i1.16434Revista Peruana de Computación y Sistemas; Vol. 2 No. 1 (2019)Revista peruana de computación y sistemas; Vol. 2 Núm. 1 (2019)2617-2003reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/16434/14140Derechos de autor 2019 José Robles Layneshttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:revistasinvestigacion.unmsm.edu.pe:article/164342019-07-10T15:16:39Z
dc.title.none.fl_str_mv Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
Políticas para reducir el problema (no percibido) de las personas ubicadas en Áreas Vulnerables
title Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
spellingShingle Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
Robles Laynes, José
Demography; Governmental factors; Social Groups; Systems simulation
Demografía; factores gubernamentales; grupos sociales; simulación de sistemas
title_short Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
title_full Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
title_fullStr Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
title_full_unstemmed Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
title_sort Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
dc.creator.none.fl_str_mv Robles Laynes, José
author Robles Laynes, José
author_facet Robles Laynes, José
author_role author
dc.subject.none.fl_str_mv Demography; Governmental factors; Social Groups; Systems simulation
Demografía; factores gubernamentales; grupos sociales; simulación de sistemas
topic Demography; Governmental factors; Social Groups; Systems simulation
Demografía; factores gubernamentales; grupos sociales; simulación de sistemas
description This research work starts with the question: What would be the reason why our compatriots choose to live in vulnerable areas, exposing their own life and that of their relatives? This question is relevant because it affects millions of compatriots (36% of the population, according to the Ministry of the Environment) and is applicable to any part of Peru. To answer the question an explanatory model is proposed, indicating variables of analysis, and their possible relationships, to make simulations, from the model. It is necessary to consider that the objective of the simulations is not to provide exact results, but to describe possible future behaviors, considering the actions that we take in the present. The proposed model considers a horizon of 50 years, and indicates that only if the problem is treated intensively the percentage of people in vulnerable areas could be reduced after a decade. Likewise, it is concluded that if actions are not taken, people located in vulnerable areas would represent 51% of the population in the period analyzed. In that sense, the policies that would contribute to reduce the percentage of people in vulnerable areas are: relocation, education and the improvement in the effectiveness of public spending.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-10
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://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/16434
10.15381/rpcs.v2i1.16434
url https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/16434
identifier_str_mv 10.15381/rpcs.v2i1.16434
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/16434/14140
dc.rights.none.fl_str_mv Derechos de autor 2019 José Robles Laynes
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2019 José Robles Laynes
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería de Sistemas e Informática
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería de Sistemas e Informática
dc.source.none.fl_str_mv Revista Peruana de Computación y Sistemas; Vol. 2 No. 1 (2019)
Revista peruana de computación y sistemas; Vol. 2 Núm. 1 (2019)
2617-2003
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
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repository.mail.fl_str_mv
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