Innovation Dynamics in Contrasting Agri-Food Systems: An Agent-Based Simulation of STI Policies in Colombian Coffee and Avocado Chains

Ruiz, Walter and Spinola, Danilo and Villalba, Maria Luisa (2025) Innovation Dynamics in Contrasting Agri-Food Systems: An Agent-Based Simulation of STI Policies in Colombian Coffee and Avocado Chains. Innovation and Development. ISSN 2157-9318 (In Press)

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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.

Item Type:	Article
Dates:	Date Event 8 October 2025 Accepted
Uncontrolled Keywords:	STI policy, innovation systems, agricultural production chains, Agent-based modelling
Subjects:	CAH15 - social sciences > CAH15-02 - economics > CAH15-02-01 - economics
Divisions:	Business School > Accountancy, Finance and Economics Business School > Accountancy, Finance and Economics > Centre for Accountancy Finance and Economics
Depositing User:	Gemma Tonks
Date Deposited:	24 Oct 2025 13:57
Last Modified:	24 Oct 2025 13:57
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16694

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