Vol. 14 No. 2 (2023)
Published
2023-06-20
PDF (Spanish)

How to Cite

RAMOS ZAMBRANO, H., LUNA MANCILLA, L., GUERRERO DIAZ, G., RODRIGUEZ PUERTAS, D. ., & CAMPO QUESADA, J. (2023). Determining factors of multidimensional poverty in cape gooseberry producers in the department of Nariño (Colombia). Revista De Investigación Agraria Y Ambiental, 14(2), 47-71. https://doi.org/10.22490/21456453.6304
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Determining factors of multidimensional poverty in cape gooseberry producers in the department of Nariño (Colombia).

DOI: https://doi.org/10.22490/21456453.6304
Section
Área Agrícola
HOUSSEMAN RAMOS ZAMBRANO AGROSAVIA
LIZETH LUNA MANCILLA AGROSAVIA
GISSELA GUERRERO DIAZ AGROSAVIA
DAVID RODRIGUEZ PUERTAS AGROSAVIA
JOSE CAMPO QUESADA AGROSAVIA

Contextualization: Colombia is the main producer and exporter of cape gooseberry (Physalis peruviana L.) in the world, with Nariño being the fourth most important department. This crop has become a significant source of income for small producers who base their economy on small-scale agriculture, characterized by family labor. This study was carried out in the southern (former province of Obando) and northern (municipality of San Pablo) areas of the department, considered productive niches for cape gooseberry.

Research gap: At the national level, studies on rural poverty have been scarce despite their importance in the definition of public policies to improve the quality of life of the population, especially when viewed from the point of view of dispersed rural areas where a wide variety of agricultural products are produced, including the so-called promising production systems such as uchuva.

Purpose of the study: To analyze the socioeconomic conditions and the determinants of poverty that affect the quality of life of uchuva producers in the department of Nariño.

Methodology: A technical and socioeconomic characterization survey was designed and applied between 2019 and 2020 to 133 cape gooseberry producers. Based on the information obtained, poverty indicators by UBN (Unsatisfied Basic Needs), MPI (Multidimensional Poverty Index), and their determinants were estimated using a logit econometric model.

Results and conclusions: The existence of 50.4% of households in poverty was identified by UBN; 34.54% by MPI and the existence of 4.6 times the probability of being poor when economic dependence predominates (economic burden that falls on the productive population of a household); 2.08 times less when there is a higher level of education and 1.31 times less when there is more land in the farm. Finally, the importance of formulating differentiated policies between urban and rural areas aimed at poverty reduction, particularly through access to education and technical capacity building processes, quality basic services, formalization of employment and equitable land distribution, became evident. It was identified the existence of 50.4% of households in poverty by UBN; 34.54% by MPI and the existence of 4.6 times the probability of being poor when economic dependence predominates; 2.08 times less if there is a higher educational level and 1.31 times less when having more area on the farm. Finally, the importance of formulating differential policies between urban and rural areas aimed at poverty reduction, particularly through access to quality education and basic services, formalization of employment, and equitable land distribution, was evident.

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