Impacto de las donaciones y transferencias en la inversión pública en la región Puno, periodo 2009-2019

The objective of the research was to determine the impact of donations and transfers on public investment in the Puno region 2009-2019, given that in recent years, public investment has been questioned mainly because it has not shown significant improvements in the development of the Puno region. A descriptive correlational methodology was applied, considering the database of time series for the analysis of the impact that is had towards the Puno region, the applied model was of maximum likelihood with the execution of the Log-Log model. It was determined that donations and transfers do have a positive impact on public investment in the Puno region, since with an increase in donations and transfers by 1%, then public investment will increase by 54.48%.El objetivo de la investigación fue determinar el impacto de las donaciones y transferencias en la inversión pública de la región Puno 2009-2019, en vista que en los últimos años, la inversión pública ha sido cuestionada principalmente porque ésta no ha mostrado mejoras significativas en el desarrollo de la región de Puno. Se aplicó una metodología de tipo correlacional, descriptiva, considerando la base de datos de series temporales para el análisis del impacto que se tiene hacia la región de Puno, el modelo aplicado fue de máxima verosimilitud con la ejecución del modelo Log-Log. Se pudo determinar que las donaciones y transferencias si tienen un impacto positivo hacia la inversión pública de la región de Puno, toda vez que a un incremento de las donaciones y transferencias en 1% entonces la inversión pública incrementara en 54.48%. &nbsp

Incidence of the collection of municipal taxes in the financing of the institutional budget: an application for the case of the provincial municipality of Puno-Peru, 2009-2020

El objetivo fue analizar la incidencia de los impuestos municipales en el financiamiento del presupuesto institucional de la municipalidad provincial de puno, en el periodo 2009-2020. Se utilizó la metodología cuantitativa, de tipo correlacional, donde se aplicó el modelo econométrico de máxima verosimilitud Log-Lin. Se pudo determinar que las recaudaciones de los impuestos municipales no son altamente significativas en el financiamiento del presupuesto institucional, ya que esta es explicado solo en un 42.11% por las recaudaciones de los impuestos municipales; sin embargo, el impuesto predial si fue significativo con un 54.15% de significancia en el financiamiento del presupuesto institucional.The objective was to analyze the incidence of municipal taxes in the financing of the institutional budget of the provincial municipality of Puno, in the period 2009-2020. The correlational quantitative methodology was used, where the maximum likelihood Log-Lin econometric model was applied. It was determined that municipal tax collections are not highly significant in financing the institutional budget, since this is explained only 42.11% by municipal tax collections; However, the property tax was significant with a 54.15% significance in financing the institutional budget

Effect of Education on the Economic Income of Households in Peru, Application of the Mincer Theory in Times of Pandemic (COVID-19)

The objective was to determine the effect of education on the economic income of households in Peru in times of the pandemic (COVID-19), for which a quantitative research approach was applied, of a non-experimental type and of descriptive-correlational design; the econometric model of log-linear type was used, based on the Mincer equation, with the information from the database of the National Household Survey, for the period of 2021. The economic income on average was 275.96 soles, with a standard deviation of 1451.41 soles, with high variability, identifying very precarious economic income ranging from 15.00 to 15,000.00 soles/month per worker; the years of schooling of the worker on average were 12 years, showing the scope of complete secondary training, with a population without years of education, and on the contrary, there are workers with postgraduate education, with the variability of 4 years. Finally, the effect of education measured through years of schooling on economic income is positive, or direct, since education explains 14.34% of economic income; the experience of the worker, gender, area of residence, age and marital status, in the same way, have a positive effect on economic income, strongly highlighting gender and area of residence which explain 19.86% and 30.45% of the economic income in the household in Peru