Transportation Disruptions and Corn Basis Volatility along the Mississippi River

This study investigates how river-based transportation costs, particularly barge freight rates, influence corn basis along the Mississippi River. The corn basis (the difference between local cash and futures prices) captures key pricing dynamics affected by both local conditions and broader logistical networks. Using weekly data from 2014 to 2024, we apply a Spatial Durbin Model (SDM) with spatial and time fixed effects to account for both local and spillover effects across markets. Two model specifications are estimated: one assuming directionally constrained spatial spillovers, consistent with downstream trade patterns, and another allowing for unconstrained spatial interactions. The results show that an increase in barge freight rates is associated with a decline in the local corn basis, underscoring the negative impact of rising transportation costs on prices paid at origin. Moreover, significant spillover effects reveal that barge rate changes in one region affect basis values in adjacent markets, indicating that transportation shocks propagate spatially. The analysis also highlights how river navigability and localized energy price variation contribute to basis volatility, depending on how spatial relationships are structured. Overall, the findings emphasize the importance of infrastructure, costs, and spatial connectivity in grain pricing. This research offers important insights for policymakers, producers, and traders seeking to manage transportation risks and improve market efficiency in the agricultural sector.