Citas bibligráficas
Pajares, C., (2022). Análisis de variabilidad en la formulación y evaluación, y ejecución de los proyectos de inversión pública del sector educación [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/5677
Pajares, C., Análisis de variabilidad en la formulación y evaluación, y ejecución de los proyectos de inversión pública del sector educación []. PE: Universidad Nacional Agraria La Molina; 2022. https://hdl.handle.net/20.500.12996/5677
@misc{renati/244688,
title = "Análisis de variabilidad en la formulación y evaluación, y ejecución de los proyectos de inversión pública del sector educación",
author = "Pajares Gamarra, Carla",
publisher = "Universidad Nacional Agraria La Molina",
year = "2022"
}
This professional sufficiency work aims to analyze the efficiency of the investments registered in the Project Bank of Invierte.pe, measuring the cost overruns, as the variability of the estimated costs in the formulation and evaluation phase versus the estimated costs during the execution phase, and to propose improvements to strengthen the content of the technical documents of the pre-investment and reducing this variability. The analysis was carried out using the information available in the Project Bank, through the use of two performance indicators (KPIs), groups were segmented according to the values of the ratio of variation between the amounts of viable investment, updated cost and accrued expense, the analysis was performed for each level of government. In addition, the study synthesize the advisory from different investment specialists who were consulted to give recommendations during the formulation and evaluation phase, as well as during the execution of projects, in order to reduce these cost variations. This work concludes that public investments have different levels of cost efficiency according to the level of government to which the investment belongs, a greater proportion of central government investments were found in the segments of greater efficiency, for both KPIs, however, in terms of regional and local governments, the first were more efficient in KPI 2 while the second were more efficient in KPI 1.
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