Bibliographic citations
Paz, F., Vergaray, H. (2020). Incidencia del capital humano y la capacidad financiera en la productividad del agricultor en la provincia de Virú, 2018 [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/6753
Paz, F., Vergaray, H. Incidencia del capital humano y la capacidad financiera en la productividad del agricultor en la provincia de Virú, 2018 [Tesis]. PE: Universidad Privada Antenor Orrego; 2020. https://hdl.handle.net/20.500.12759/6753
@misc{renati/377850,
title = "Incidencia del capital humano y la capacidad financiera en la productividad del agricultor en la provincia de Virú, 2018",
author = "Vergaray Marina, Huberth Armando",
publisher = "Universidad Privada Antenor Orrego",
year = "2020"
}
The main objective of this research was to analyze the incidence of human capital and financial capacity on the productivity of the farmer in the province of Viru in 2018. The development was based on a Probit model with data from the last National Agricultural Census, carried out in 2018, to study the agricultural productivity of the 54 respondents from the Viru district. The objective variables were productivity, human capacity and financial capacity. Due to the changes in observations from one year to another, the way to measure productivity is the average of the production of farmers in the province of Viru in 2018, with a binary decision: 1, productive (from the mean for up); 0, unproductive (below average). While human capital is made up of indicators such as: cultivation techniques, soil study, age and sex; and financial capacity, measured by access to credit, farm residency, and other income. The results indicate that the productivity of the farmer in Viru is negative as the agricultural producer engages in other commercial or agricultural activities, to get other income for them. Similarly, the producer residence inside the agricultural unit, also negatively affects the farmer productivity at the age of 43. On the other hand, we found that the difference in the use and management of soil analysis is low, at 1,012% for increased productivity. Other factors such as age, sex, and using fertilizer, significantly influence farmer productivity.
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