Aplicación de la Matriz de Vester y análisis cartesiano para identificar problemáticas productivas en el Fundo Hortalizas Fujishima, Cañete

José Alejandro Quispe Llanos; Bessy Castillo Santa María; Roberto Coaquira Incacari

doi:10.60091/ric.2025.v4n2.04

Vol. 4 No. 2 (2025), Artículos

Vol. 4 No. 2 (2025)

Application of the Vester Matrix and Cartesian Analysis to Identify Productive Problems at Hortalizas Fujishima Farm, Cañete

Artículos

Published 2026-05-26

José Alejandro Quispe Llanos
Bessy Castillo Santa María
Roberto Coaquira Incacari

José Alejandro Quispe Llanos

https://orcid.org/0009-0001-0377-7494

Bessy Castillo Santa María

https://orcid.org/0000-0001-5320-4005

Roberto Coaquira Incacari

https://orcid.org/0009-0000-4960-3804

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Keywords

problem diagnosis
agricultural system
Vester matrix
critical factors
Cañete

How to Cite

Application of the Vester Matrix and Cartesian Analysis to Identify Productive Problems at Hortalizas Fujishima Farm, Cañete (J. A. Quispe Llanos, B. C. Santa María, & R. Coaquira Incacari, Trans.). (2026). Revista De Investigación Cañetana, 4(2). https://doi.org/10.60091/ric.2025.v4n2.04

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Abstract

This research aims to identify the problems within the vegetable production system. It examines the characteristics of the area of influence, which is based on small-scale agriculture, where technology and practical experience converge. The methodology employed is applied research with a quantitative approach and a non-experimental design. Its scope is descriptive and cross-sectional, utilizing the Vester method of cause and effect to identify passive, critical, active, and indifferent problems. This allowed for an analysis of the farm's production system, prioritizing the interaction matrix with evaluation scales ranging from 0 to 3. Subsequently, the total values of influence and dependence were calculated. The results revealed three active problems—obsolete infrastructure, geographic isolation, and labor shortage—which act as structural causes; four critical problems with high interdependence; and three passive problems that primarily represent system effects (6;17), (8,18) y (11;27). In conclusion, the influence-dependence analysis allowed for a comprehensive understanding of the dynamics of the vegetable production system at Fundo Fujishima, facilitating the objective prioritization of the problems affecting it.

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