Gestão de resíduos sólidos municipais em San Martin, Peru: determinantes socioeconômicos

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Objective: To identify the socioeconomic factors that affect the efficiency of municipal solid waste management in the San Martín region, Peru. Methods: An applied study was developed with a quantitative approach, non-experimental design and explanatory-causal level. Secondary data from the National...

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Detalles Bibliográficos
Autor: López Castillo, Luz Elena
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/29607
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/quipu/article/view/29607
Nivel de acceso:acceso abierto
Materia:technical efficiency
local public management
performance evaluation
structural factors
municipal environmental services
eficiencia técnica
gestión pública local
evaluación de desempeño
factores estructurales
servicios municipales ambientales
eficiência técnica
gestão pública local
avaliação de desempenho
serviços ambientais municipais
Descripción
Sumario:Objective: To identify the socioeconomic factors that affect the efficiency of municipal solid waste management in the San Martín region, Peru. Methods: An applied study was developed with a quantitative approach, non-experimental design and explanatory-causal level. Secondary data from the National Registry of Municipalities, the United Nations Development Program (UNDP) and official budget reports were analyzed. Two stages were implemented: in the first stage, the Data Envelopment Analysis (DEA) approach was applied to estimate the levels of efficiency in municipal solid waste management; in the second stage, a Tobit econometric model was used to identify the socioeconomic factors that explain this efficiency. Results: Of the 66 district municipalities analyzed, 7 showed optimal levels of efficiency. The Tobit model showed that the Human Development Index (HDI) and the level of extreme poverty are variables with statistically significant effects. Conclusion: Socioeconomic indicators such as HDI and extreme poverty have a significant impact on the efficiency of municipal solid waste management. Consequently, the design of public policies aimed at improving solid waste management should incorporate these factors in order to contribute to the success of these policies.
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