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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Dataset for vulnerability model analysis in economically depressed areas
Zambrano-Yépez Claudia1, Guillén-Rodríguez Yaritza1
1Universidad Laica Eloy Alfaro de Manabí, Manta, Ecuador.
Abstract:
This paper presents data for the application of the vulnerability model in economically depressed areas, through social, economic and capacity variables, with the objective of promoting public policies that contribute to the economic development of the territory and its integration into the labor market [1]. We used the family and housing databases of the Socioeconomic and Environmental Characterization Survey of the community of San Juan in the city of Manta [2]. The study population comprises the inhabitants of Sitio San Juan in the city of Manta, due to the conditions of exclusion due to the negative evaluations of the place (oxidation ponds, municipal slaughterhouse, garbage dump, coal processing, among others), and due to "the scarce existence of databases of vulnerable sectors in the province of Manabí" [3], considering that the last national census was conducted in 2010. As for the sample design, the census-type sweep technique was applied. The data set helps to determine the vulnerability conditions of the territory, for the application of the proposed model; in addition, these data can be used to analyze the determinants of the conditions of unemployment, underemployment and poverty in which the inhabitants of the sector live. Likewise, they can be complemented with future research in regions with similar characteristics in Ecuador or other territories to promote public policies that allow them to improve their living conditions and encourage public or private investment for the generation of employment and poverty reduction.
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