Innovation dynamics in contrasting agri-food systems: an agent-based simulation of STI policies in Colombian coffee and avocado chains
Year: 2025
Type: article
Abstract: STI policies are key drivers of innovation but require context-specific approaches. While combining technology-push, market-pull, and systemic policies is widely advocated, empirical evidence on their effectiveness in agricultural innovation systems remains limited. This study applies the Adaptive Innovation System Model (AdaptISM), an Agent-Based Model grounded in prior theory, to analyse innovation in Antioquia, Colombia’s coffee and avocado production chains – two sectors with distinct innovation patterns. Using empirical data for model validation, we test how different policy mixes affect innovation performance and economic outcomes. The analysis reveals trade-offs and synergies across policy instruments, offering practical insights for STI design. Our findings demonstrate how established innovation models can guide evidence-based policymaking in developing economies, particularly within diverse agri-food systems. This computational approach supports more targeted resource allocation and strategy formulation, grounded in local dynamics.
Source: Innovation and Development
Institutions: Universidad Nacional de Colombia, Birmingham City University
Language: English
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4415885326