Bibliographic citations
Llerena, R., (2020). Valoración económica de los bosques aledaños del caserío Manacamiri y su aporte al desarrollo socio – económico y ecológico, Loreto - Perú-2020 [Universidad Nacional de la Amazonía Peruana]. https://hdl.handle.net/20.500.12737/7370
Llerena, R., Valoración económica de los bosques aledaños del caserío Manacamiri y su aporte al desarrollo socio – económico y ecológico, Loreto - Perú-2020 []. PE: Universidad Nacional de la Amazonía Peruana; 2020. https://hdl.handle.net/20.500.12737/7370
@misc{renati/968419,
title = "Valoración económica de los bosques aledaños del caserío Manacamiri y su aporte al desarrollo socio – económico y ecológico, Loreto - Perú-2020",
author = "Llerena Zegarra, Rodolfo Raúl",
publisher = "Universidad Nacional de la Amazonía Peruana",
year = "2020"
}
The present research work was carried out in the village of Manacamiri in order to determine the probability of the willingness to pay the value to pay for environmental services based on a set of variables that are factors causing it is high and useful for future predictions. According to the results obtained, the descriptive analysis of each of the variables used was carried out in order to have the necessary instrument to know the characteristics that influence the value of the economic services and WTP of the community. The relationship between the DBH and the variables sex and marital status was determined, whose pi value values were 0.000 and 0.037, which shows a statistically associated because its pi value is below 0.0 5. The significance of cause was determined. The effect between the DAP and the variables sex and marital status whose pi value was 0.005 and 0.040 less than the pi value that was 0.05. The Kappa coefficient of concordance was determined, which was 41% considered high and acceptable. The proposed hypothesis is accepted that supports the probability of willingness to pay the value to pay for environmental services based on a set of variables that proved to be factors causing it is high and useful for future predictions.
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