Vulnerabilidad energética y socioeconómica en los hogares de Argentina
; Condori, Miguel Angel 
Otros responsables
Fecha
09/2020
Editorial
Universidad de Granada
Revista
Cuadernos Geográficos
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Institución organizadora
ISSN
0210-5454
eISSN
2340-0129
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Español
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Resumen
Se propone el estudio de composición de vulnerabilidad energética para el sector residencial de Argentina. Se emplea una base de microdatos provista por el Instituto Nacional de Estadísticas y Censos, basada en el formulario extendido del censo 2010. Se ha utilizado un algoritmo de árbol de decisión para caracterizar, modelar y describir los patrones de los hogares vulnerables. Asimismo, a partir de la aplicación de grafos, se han estudiado la proximidad de configuraciones de estos hogares para los Departamentos de Argentina. El modelo de árbol de decisión fue evaluado a partir de la estimación de su precisión, recall, especificidad, medida F, exactitud y Kappa de Cohen. Como resultado, se han identificado cuatro grandes grupos de hogares vulnerables quienes no acceden a salud, son trabajadores transitorios e informales, pertenecientes a grupos originarios, habitan viviendas con servicios básicos o insuficientes y tienen bajo acceso a tecnologías de la información y comunicación. Se concluye que los hogares energéticamente vulnerables tampoco acceden a otros derechos elementales. Así, se propone que las políticas energéticas para el sector residencial deben ser enfocadas en clave de políticas de desarrollo social, siendo socialmente inclusivas y ampliando el acceso a otros derechos elementales.
We propose a study on the composition of residential energy vulnerability for Argentina. A micro database provided by the Argentinian National Institute of Statistics and Censuses is used, based on the microdata from the 2010 extended census form. We employ a decision tree algorithm to model and describe the patterns of vulnerable households. Likewise, from the application of graphs, the proximity of vulnerable household configurations for the Departments of Argentina has been studied. The decision tree model was evaluated from the estimation of its precision, recall, specificity, F1 score, accuracy, and Cohen’s Kappa. As a result, four large groups of vulnerable households have been identified. Those who do not have access to health, are transitory and informal workers, belonging to original groups, living in houses with essential or insufficient services, and having low access to information and communication technologies. We conclude that energy vulnerable households do not have access to other fundamental rights, either. Thus, it is proposed that energy policies for the residential sector should be approached as social development policies, being socially inclusive, and expanding access to other elementary rights.
We propose a study on the composition of residential energy vulnerability for Argentina. A micro database provided by the Argentinian National Institute of Statistics and Censuses is used, based on the microdata from the 2010 extended census form. We employ a decision tree algorithm to model and describe the patterns of vulnerable households. Likewise, from the application of graphs, the proximity of vulnerable household configurations for the Departments of Argentina has been studied. The decision tree model was evaluated from the estimation of its precision, recall, specificity, F1 score, accuracy, and Cohen’s Kappa. As a result, four large groups of vulnerable households have been identified. Those who do not have access to health, are transitory and informal workers, belonging to original groups, living in houses with essential or insufficient services, and having low access to information and communication technologies. We conclude that energy vulnerable households do not have access to other fundamental rights, either. Thus, it is proposed that energy policies for the residential sector should be approached as social development policies, being socially inclusive, and expanding access to other elementary rights.
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