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...

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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
Descripción
Sumario: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.
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