Bibliographic citations
Chapí, L., Vargas, C. (2020). La información y su influencia en los ingresos agrícolas de los productores y productoras de la región del Cusco, 2018 [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/3593
Chapí, L., Vargas, C. La información y su influencia en los ingresos agrícolas de los productores y productoras de la región del Cusco, 2018 [Tesis]. PE: Universidad Andina del Cusco; 2020. https://hdl.handle.net/20.500.12557/3593
@misc{sunedu/3042567,
title = "La información y su influencia en los ingresos agrícolas de los productores y productoras de la región del Cusco, 2018",
author = "Vargas Vargas, Criskelly",
publisher = "Universidad Andina del Cusco",
year = "2020"
}
This research seeks to determine the effect of market price information, crop management techniques or climate information on the income of farmers in the Cusco region. Under this premise, it is relevant to investigate the effect that agricultural information has, since many of the training and agricultural extension programs assume that the information granted to agricultural units allows them to maximize their usefulness or improve their agricultural processes. The research uses the data from the National Agricultural Survey - ENA for 2018, it is of a non-experimental type and with a quantitative approach and with a correlational and descriptive scope. The results identify that information on market prices and climate prices have a positive impact on the income of producers in the Cusco region of the third quartile and fourth quartile of income respectively during the period 2018, both results are statistically significant at level 1%. It has been identified that an agricultural producer who is in the income quartiles 1 to 3 increases in his income in 658 soles if he has information on market prices compared to a producer who does not have such information, this result is statistically significant at 1% Finally, it has been identified that producers who have information on the climate have 15737.6 soles more than income compared to producers who do not have climate information, this result is statistically significant at 1%.
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