Bibliographic citations
Pazo, R., Torres, L. (2020). Impacto de las transferencias mineras en la pobreza de las regiones Áncash, Arequipa, Apurímac, Cajamarca y la libertad, 1999 - 2019 [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/6689
Pazo, R., Torres, L. Impacto de las transferencias mineras en la pobreza de las regiones Áncash, Arequipa, Apurímac, Cajamarca y la libertad, 1999 - 2019 [Tesis]. : Universidad Privada Antenor Orrego; 2020. https://hdl.handle.net/20.500.12759/6689
@misc{sunedu/3588384,
title = "Impacto de las transferencias mineras en la pobreza de las regiones Áncash, Arequipa, Apurímac, Cajamarca y la libertad, 1999 - 2019",
author = "Torres Prado, Lucila Jimena",
publisher = "Universidad Privada Antenor Orrego",
year = "2020"
}
One of the main economic activities for the country is mining, since a macroeconomic level has led us to growth opportunities; but at the local level, that of the areas where this activity is practiced is worrying and is reflected in the percentage of incidence of poverty where it is carried out. This research aims to determine the impact of mining transfers on poverty in the regions of Ancash, Arequipa, Apurímac, Cajamarca and La Libertad between the years 1999-2019. To this end, the study regions were selected according to the contributions they receive at the national level, separating the main regions with larger transfers and those that do not, in addition to their significant contribution to mining GDP. In the study, the poverty variable was determined through an index made up of: education, expressed in the illiteracy rate in people over 15 years of age, health as the probability of being born and dying, represented as the infant mortality rate and the standard of living as a percentage of inhabitants without access to drinking water and the rate of children with malnutrition. With respect to variable mining transfers, it will be evaluated through contributions per mining resource such as canon and mining royalty. To verify the hypothesis, an economic model of generalized least squares method was estimated for the fixed effects panel type data that will determine the characteristics of the study regions and thus the impact it generates. Finally, with the data processing it was concluded that, for each increase in the mining canon by 1 million soles, poverty is reduced by 0.308% and for each increase in mining royalties by 1 million soles, poverty is reduced at 1.6%, despite the results, the impact was minimal and this was due to the other macroeconomic and social variables that influenced poverty, such as inflation, exchange rate, gross domestic product (GDP), human development index ( HDI) and social conflicts.
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