Resumen
Introduction: the technology transfer policies of the coffee production chain are analyzed through simulations carried out using the following scenarios: I technology push mode, II Market Pull mode, Systemic III mode and IV mode combination modes. Objective: analyze the policies that favor technology transfer processes in the coffee production chain in Antioquia based on an agent-based simulation model. Materials and methods: after the literature review carried out in primary and secondary sources, the chain was characterized and the policies that throughout history have been implemented in favor of it. Results: this classification served as input together with the instrument applied to the 256 representative agents of the chain to define the parameters of the Agent-Based Simulation Model. It should be noted that the Model was given a conceptual validation through two techniques: the historical method of rationalism and the friendly historical approach, and an operational validation. Conclusion: after applying several validation and verification techniques, it was found that the model helps to understand the phenomenon of technology transfer in the coffee production chain, which is understood as a localized Innovation System. Policy analysis makes it possible to recommend policy modes that allow more actors to participate in the technology transfer process by obtaining a system with greater distribution of market opportunities.
Título traducido de la contribución | Analysis of technology transfer policies in the coffee production chain in Antioquia |
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Idioma original | Español |
Páginas (desde-hasta) | 403-422 |
Número de páginas | 20 |
Publicación | Revista Lasallista de Investigacion |
Volumen | 17 |
N.º | 1 |
DOI | |
Estado | Publicada - 2020 |
Nota bibliográfica
Publisher Copyright:© 2020, Corporacion Universitaria Lasallista.
Palabras clave
- Agricultural production chain
- Coffee
- Public politics
- Regional agricultural innovation system
- Technology transfer
Tipos de Productos Minciencias
- Artículos de investigación con calidad Q4