As sustainable ethanol management is dependent on the availability of corn, it is requisite to redict corn yields correctly under different weather conditions. Reflecting the spatial linkages etween weather conditions and corn yields, this study estimates corn yields with a focus on hanges in fertilizers and weather variables. Due to the spatial spillover effects, the results show hat the spatial panel model is more appropriate for estimating corn yields. Based on the predicted alues of corn yields, the potential ethanol availability is also projected by using the conversion ates of ethanol from corn. The results reveal that the spatial panel analysis provides more robustestimates of ethanol yields than the standard panel analysis. The findings highlight the importance f considering spatial correlations in predicting corn yields, which is ultimately critical for redicting future ethanol availability.