Bibliographic citations
Castagnino, C., (2018). Mejoramiento de capital humano para el incremento del ingreso per cápita de la PEA caso peruano años 2008 y 2015 [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3235
Castagnino, C., Mejoramiento de capital humano para el incremento del ingreso per cápita de la PEA caso peruano años 2008 y 2015 [Tesis]. : Universidad Nacional Agraria La Molina; 2018. https://hdl.handle.net/20.500.12996/3235
@misc{renati/247602,
title = "Mejoramiento de capital humano para el incremento del ingreso per cápita de la PEA caso peruano años 2008 y 2015",
author = "Castagnino Pastor, Claudio Stefano Sabino",
publisher = "Universidad Nacional Agraria La Molina",
year = "2018"
}
The main objective of this research was to demonstrate the existence of a positive relationship between the productivity of human capital and the increase in GDP (Gross Domestic Product) per capita generated by the WAP (Working Age Population) of Peru between 2008 and 2015 . The twenty-four regions of Peru were studied for the years 2008 to 2015. The methodology of the research is econometric explanatory, based on the extended Solow model and Convergence developed in Mankiw et al (1992) with dependent variables: GDP per capita of the WAP or income (y) for the years 2008 (y2008), 2015 (y2015) and the difference (y2015-y2008), the independent variables are: the Growth Rate of the Average Population (n), the Average Percentage of the WAP with University Education or human capital (sh) and Average Public Expenditure per University Student or physical capital (sk). The following were evaluated: Case I (y2008), case II (y2015) and convergence. The results for case I and II are:sh and sk, they are positive and significant; the correlation coefficients (R2 adjusted) are 0.61 and 0.67 respectively. The convergence is effective, with a negative coefficient of y2008, and R2 adjusted of 0.42 with sh. It is concluded that the productivity of sh and sk increases to (y); being that both cases strongly support the extended Solow model. The convergence; the decrease in the per capita income gap between regions is in less time when it was invested in human capital. Therefore, the investment in the WAP with University Education increases the per capita income of the WAP of Peru, thus decreasing the per capita income gap between the regions during the period from 2008 to 2015
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