Social Programs and Socioeconomic Variables: Their Impact on Peruvian Regional Poverty (2013–2022)

J. Adolfo Hinojosa Pérez, Hernán Ricardo Briceño Avalos, Ivonne Yanete Vargas Salazar, Sergio Christian Carrasco Mamani

Research output: Contribution to journalOriginal Articlepeer-review

Abstract

The aim of this research is to establish the extent to which social programs and socioeconomic variables have been influencing poverty in the 24 Peru regions (2013–2022). The study is quantitative, non-experimental, and correlational. We use secondary data obtained from official sources such as the National Institute of Statistics and Informatics, Ministry of Economy and Finance, as well as the Peruvian Institute of Economics. For estimations, we use the Generalized Method of Moments System and dynamic panel data. The results indicate that Juntos, Pensión 65, Qali Warma, and Trabaja Perú social programs, with p-values of 0.383, 0.715, 0.681, and 0.870, respectively, have not had favorable impacts on reducing poverty. On the contrary, negative coefficients for human capital and physical infrastructure mean that improving them will reduce poverty at the regional level. A year more in schooling for the population aged over 15 years reduces poverty between 1.7% and 1.2%. Increasing 10% of the proportion of national roads in paved condition reduces poverty levels between 1.9% and 2.4%.

Original languageAmerican English
Article number197
JournalEconomies
Volume12
Issue number8
DOIs
StateIndexed - Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

  • dynamic panel data
  • economic and social development
  • human capital
  • infrastructure
  • paved roads
  • poverty
  • social programs

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