Citas bibligráficas
Echevarría, T., Olivera, L. (2018). Análisis de la dinámica económica de la cadena productiva de la leche y sus derivados en la provincia de Anta, 2017 [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/3504
Echevarría, T., Olivera, L. Análisis de la dinámica económica de la cadena productiva de la leche y sus derivados en la provincia de Anta, 2017 [Tesis]. PE: Universidad Andina del Cusco; 2018. https://hdl.handle.net/20.500.12557/3504
@misc{renati/960436,
title = "Análisis de la dinámica económica de la cadena productiva de la leche y sus derivados en la provincia de Anta, 2017",
author = "Olivera Loaiza, Laura Estefanía",
publisher = "Universidad Andina del Cusco",
year = "2018"
}
This research analyzes the effect that the milk production chain has had on the economic dynamics of the province of Anta during 2017. The non-experimental method is used and a regression analysis is performed to verify the research hypotheses. The data used correspond to primary information. Among the main results, he finds that the integration in the milk and milk products production chain influences in a way the income of a person, since these increase by 14,628 soles in the comparison with a person who is not integrated to the productive chain. This means that an increase in the productive chain through the organizations that compose it and greater access to market information allows a very important increase in the income of the producers. Production costs decrease by 643.7 soles when a person is integrated into the production chain. This means that the frequencies of consumers (expressed through the production chain) have a significant influence on production, on the other hand, there is also a greater availability of production goods, which significantly influence the reduction of the costs of production Finally, the production chain does not have an important effect on milk production in the province of Anta. This means that the increase in income and the reduction in costs observed in the regression analysis is not related to an increase in production, if it is not with an improvement in quality and access to more market information through the productive chain.
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