El objetivo principal de esta investigación es la generación de la Matriz Insumo Producto Regional y la identificación de los sectores determinantes para el Estado de Durango. Lo anterior se lleva a cabo mediante la metodología indirecta de Flegg y Weber (1997) para determinar las relaciones intersectoriales regionales, a partir de un ajuste sobre los coeficientes de ubicación cruzada de la Matriz de Insumo Producto Nacional (MIPN) 2013. Este análisis muestra como sectores clave:1) Generación, transmisión y distribución de suministro de energía eléctrica, agua y gas; 2) Servicios financieros y de seguros, 3) Información en los medios de comunicación, entre otros. En estudios regionales similares, el parámetro de ajuste es determinado a priori, por lo que una recomendación es la de estimar el valor adecuado para cada región. La principal limitación es el uso de MIPN, que son publicadas cada 5 años, lo que implica que la herramienta realiza un análisis estático, sin embargo, esto puede solventarse mediante pronósticos basados en metodologías para la actualización de los coeficientes técnicos. Hasta donde tenemos conocimiento, somos los primeros en realizar un análisis sobre los sectores productivos del estado de Durango y de implementar un proceso de optimización sobre el parámetro de ajuste. Los resultados de la clasificación concuerdan con la realizada a partir del Censo Económico y los Valores Agregados Brutos Estatales de los sectores que se encuentran en INEGI.
During periods of remarkable trade openness, increase income inequality in many countries. This paper analyzes how factors that influence inequality due to commercial globalization interact each other. For which a reliable Classifier Tree-selected through a modeling process of bootstrapping-is built, it has 14 knowledge rules and classifies 84% of the observations correctly. This model indicates that inequality's changes into a country, due greater economic integration, depend principally on the labor market' structure-in agricultural countries and urbanization processes (industrialization) it reduces depending in turn on the rule of law; on the other hand, in countries with a strong service sector and good trade terms it increases in periods of stagnation or with low levels of high technology exports.
During periods of remarkable trade openness, increase income inequality in many countries. This paper analyzes how factors that influence inequality due to commercial globalization interact each other. For which a reliable Classifier Tree-selected through a modeling process of bootstrapping-is built, it has 14 knowledge rules and classifies 84% of the observations correctly. This model indicates that inequality's changes into a country, due greater economic integration, depend principally on the labor market' structure-in agricultural countries and urbanization processes (industrialization) it reduces depending in turn on the rule of law; on the other hand, in countries with a strong service sector and good trade terms it increases in periods of stagnation or with low levels of high technology exports.
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