Policies to reduce the problem (not perceived) of people located in Vulnerable Areas
Descripción del Articulo
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...
| Autor: | |
|---|---|
| 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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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 |
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Universidad Nacional Mayor de San Marcos |
| instacron_str |
UNMSM |
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UNMSM |
| reponame_str |
Revistas - Universidad Nacional Mayor de San Marcos |
| collection |
Revistas - Universidad Nacional Mayor de San Marcos |
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13.953702 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).