National Agricultural Innovation System (NAIS): Diagnosis, Gaps, and Mapping of Actors

Luis Fernando Gutiérrez Cano (), Jhon Wilder Zartha Sossa (), John Fredy Moreno Sarta, Juan Camilo Oviedo Lopera, Jorge Iván Quintero Saavedra, Lina María Suárez Guzmán and Diego Alejandro Agudelo Tapasco
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Luis Fernando Gutiérrez Cano: Faculty of Social Communication-Journalism, School of Social Sciences, Pontifical Bolivarian University, Medellín 050001, Colombia
Jhon Wilder Zartha Sossa: Faculty of Agroindustrial Engineering, School of Engineering, Pontifical Bolivarian University, Medellín 050001, Colombia
John Fredy Moreno Sarta: John Fredy Moreno Sarta, Contractor Pontifical Bolivarian University, Medellín 050001, Colombia
Juan Camilo Oviedo Lopera: Faculty of Agroindustrial Engineering, School of Engineering, Pontifical Bolivarian University, Medellín 050001, Colombia
Jorge Iván Quintero Saavedra: Facultad de Ciencias Agrarias y Agroindustria, Universidad Tecnologica de Pereira, Pereira 660003, Colombia
Lina María Suárez Guzmán: Facultad de Ciencias Agrarias y Agroindustria, Universidad Tecnologica de Pereira, Pereira 660003, Colombia
Diego Alejandro Agudelo Tapasco: Facultad de Ciencias Agrarias y Agroindustria, Universidad Tecnologica de Pereira, Pereira 660003, Colombia

Sustainability, 2024, vol. 16, issue 8, 1-18

Abstract: This article examines the diagnosis of the Agricultural Innovation System (SIA) in the department of Tolima, Colombia, as part of a project led by the Colombian Ministry of Agriculture and Rural Development and the Technological University of Pereira (TUP), which also evaluated the National Agricultural Innovation System (NAIS) in regions such as Chocó, Bolívar, and Meta. A methodology was used that involved a survey with 58 questions on a Likert scale with 300 participants, evaluated with congruence and relevance indexes, identifying key variables in the operation of the Agricultural Innovation System (AIS). A survey was applied to map actors in the National Innovation System for Higher Education in Agriculture, as well as the participating actors in the regional agricultural innovation systems of Tolima to identify gaps in extension, innovation, development, sustainability, information technology (TI), education, and training. Among the conclusions, it stands out that the associativity subsystem presents the lowest performance and is close to a score of two on the scale of gaps. An evaluation was carried out among the five subsystems, including extension, TI, environmental aspects, and public policy. The department of Tolima shows low performance in innovation and TI, while their extension performance is less weak. In Chaparral, there is a general lag, with innovation being the worst evaluated subsystem. Rovira obtains high scores in most subsystems, although innovation and TI have lower scores. At the national and regional levels, innovation is low, and communication among the NARS actors is insufficient, which highlights the need to promote good practices, strategies, and projects.

Keywords: systems of innovation; national agricultural innovation system; gaps; innovation and development (R&D); extension; training; TI; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:8:p:3294-:d:1376039

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