The Internal Gross Product (GDP) and its relationship with tax income in Peru 2007-2018
Descripción del Articulo
Objective: To analyze the relationship between the Gross Domestic Product and the Tax Revenue collected by the Peruvian State. Method: The research approach is quantitative descriptive and correlational type, whose design was non-experimental and longitudinal, that is, documentary information was co...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2019 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revista UNMSM - Quipukamayoc |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/17174 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/quipu/article/view/17174 |
Nivel de acceso: | acceso abierto |
Materia: | Procust income taxes domestic demand public investment Producto ingresos tributos demanda interna inversión pública |
Sumario: | Objective: To analyze the relationship between the Gross Domestic Product and the Tax Revenue collected by the Peruvian State. Method: The research approach is quantitative descriptive and correlational type, whose design was non-experimental and longitudinal, that is, documentary information was collected on tax collection and the internal product from 2007 to 2018 of the National Superintendence Customs and Tax Administration (SUNAT). Results: There is no variability in the gross domestic product as well as in the tax collection; The data is homogeneous in each variable. Conclusions: It is concluded that there is a significant relationship between the gross domestic product and the Tax Revenue, this result was confirmed with the Pearson correlation coefficient, which was 0.9401, defined as a high correlation between the two indicated variables. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).