Resumen

JURADO MEJIA, Alejandro Geobanny; ROZO, Yelly Yamparli Pardo  y  HERNANDEZ LONDONO, Claudia Estella. Classification of Family Farming Systems and Food Security in the Colombian Amazon Foothills. Rev.fac.cienc.econ. [online]. 2023, vol.31, n.1, pp.31-51.  Epub 23-Oct-2023. ISSN 0121-6805.  https://doi.org/10.18359/rfce.6239.

Family farming systems in the Colombian Amazon foothills are a predominant phenomenon in this rural area. The objective of this research was to classify and characterize these systems based on social, economic, environmental variables and based on the perception of food security as an attribute that promotes rural settlement. The study sample consisted of 61 farms located in the Villa Hermosa district in Florencia, Caquetá, Colombia. Multivariate analysis techniques such as cluster analysis and regression analysis were used to determine the marginal propensity to consume, (MPC), as an argument for identifying families’ savings potential. This was complemented by data envelopment analysis to measure technical efficiency and determine the potential for income generation improvement. Two types of farms were identified: simple accumulation agricultural systems and subsistence rural systems. Socioeconomic variables that shape expenditure were determined: income, gender, educational level, and years of experience in the field. It was found that the (MPC) in agricultural systems was 0.75 in both the simple and multiple linear models, suggesting a potential saving of 25% of income from field activities. Only three farms were efficient, while the rest had improvement potentials associated with underutilization of pastures and crops. The community wishes to strengthen food security in the area, but low productivity does not allow for a transition to more profitable production systems.

Palabras clave : Data Envelopment Analysis; Multivariate Analysis; Regression Analysis; Marginal Propensity to Consume; Land Use.

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