Factores determinantes de la producción forestal en la región Puno - Perú, 2019
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Rev. Inv. Cs. Agro. y Vet.
Abstract
El objetivo de esta investigación fue encontrar los factores determinantes de la producción forestal en la región de Puno en Perú, para lo cual se aplicó el enfoque cuantitativo, correlacional y transversal, utilizando datos de la Encuesta Nacional de Hogares del Instituto Nacional de Estadística e Informática, del año 2019; se consideró una muestra de 408 observaciones, con la aplicación del modelo ANCOVA. Se estableció que los factores determinantes de la producción forestal son la explotación agrícola, explotación pecuaria, parcelas trabajadas, gasto en transporte y tenencia de tierra; además, la explotación pecuaria, las parcelas trabajadas, el uso de un sistema de riego y la realización del gasto en transporte influyen de manera directa sobre la producción forestal y la explotación agrícola y la tenencia de tierra influyen de manera negativa en la producción forestal en la región de Puno.
The objective of this research was to find the determinants of forest production in the region of Puno, Peru, for which the quantitative, correlational and cross-sectional approach was applied, using data from the National Household Survey of the National Institute of Statistics and Informatics, of the year 2019; a sample of 408 observations was considered, with the application of the ANCOVA model. It was established that the determinants of forestry production are agricultural exploitation, livestock exploitation, worked plots, transportation expenditure and land tenure; in addition, livestock exploitation, worked plots, the use of an irrigation system and the realization of transportation expenditure have a direct influence on forestry production and agricultural exploitation and land tenure have a negative influence on forestry production in the Puno region in Perú.
The objective of this research was to find the determinants of forest production in the region of Puno, Peru, for which the quantitative, correlational and cross-sectional approach was applied, using data from the National Household Survey of the National Institute of Statistics and Informatics, of the year 2019; a sample of 408 observations was considered, with the application of the ANCOVA model. It was established that the determinants of forestry production are agricultural exploitation, livestock exploitation, worked plots, transportation expenditure and land tenure; in addition, livestock exploitation, worked plots, the use of an irrigation system and the realization of transportation expenditure have a direct influence on forestry production and agricultural exploitation and land tenure have a negative influence on forestry production in the Puno region in Perú.
Description
Vol. 6, No. 17