Examinando por Materia "DEMOGRAFÍA - INVESTIGACIONES"
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Ítem Ansiedad, depresión y características demográficas asociadas en el embarazo de mujeres entre los 14 y 40 años del área metropolitana del Valle de Aburrá(Universidad EAFIT, 2020) Bohórquez Otálvaro, Ana Sofía; Lemos Hoyos, MariantoniaPublicación ¿Beneficia la inversión pública la calidad de vida de los habitantes de las comunas y corregimientos del municipio de Medellín? : un análisis empírico entre 2011-2018(Universidad EAFIT, 2021) Palacio Dapena, Jaime Andrés; Rendón, Andrés JuliánThis article finds empirical evidence about how the public investments in Medellin city affect in a positive way the life quality of the inhabitants. To obtain this result, a Panel Data estimation was done, following the Arellano-Bond methodology, an analysis is made of the effects of the public investment made by the different ministries of the Mayor's Office of Medellín between 2011 and 2018 in the Multidimensional Quality of Life Index. The econometric exercise shows that an increase in total investment of 10% would be equivalent to an average increase in the variation of the Multidimensional Quality of Life Index of 0.35%. The demographic components of the territories are relevant for the efficiency of public investment.Ítem Determinantes de la adopción de tecnologías de agricultura climáticamente inteligente en Colombia(Universidad Eafit, 2020) Chinkousky Giraldo, María Antonia; Urrego Morales, María Camila; Muñoz Mora, Juan CarlosThe following work is the product of a research that aims to delimit the determinants in the adoption of Silvopastoral Systems (SSPI) in the Colombian Caribbean region and provide guidance on the public policies that should be followed in Colombia in order to achieve an increase in the implementation of climate-smart technologies. This work seeks to contribute to the efforts to mitigate climate change and at the same time to find tools to address the food challenges associated with population growth trends. The result of the research allowed to identify the socioeconomic and physical factors that encourage the adoption of SSPI in this region, through a Probit type regression.