Dynamic System Scenarios for Local Wisdom-Based Taro Agribusiness towards SDGs

Taro (Colocasia esculenta) has great potential as a local food source and agribusiness commodity in Indonesia, particularly in West Papua. Still, its development is constrained by low productivity, limited market access, and a lack of agro-industrial support, while local wisdom, expressed through traditional agricultural practices and cultural values, offers a sustainable foundation that remains underutilized. This research aims to provide a model scenario for a taro agribusiness system grounded in local wisdom to achieve the Sustainable Development Goals (SDGs). The research method uses a dynamic systems approach, with scenario analysis based on primary data (interviews, focus group discussions, and field observations) and secondary data (government reports, academic literature, and statistical databases) to build and validate the model. The basic results show that moderate and optimistic scenarios involving the practice of local wisdom produce the most favorable outcomes, both in terms of increased productivity, farmers’ welfare, and environmental sustainability. Of course, this proves that integrating local wisdom with agribusiness strategies offers a strong pathway to sustainable taro agribusiness and a meaningful contribution to the theoretical development and formulation of policies aligned with the SDGs.