Determinants and Productivity Analysis of Sugarcane Production in Bauko, Mountain Province

HRMARS - The study was conducted to assess the factors influencing sugarcane productivity in Bauko, Mountain Province. Data were collected from 70 sugarcane growers in selected barangays. Analysis using the Cobb-Douglas production function unveiled low sugarcane productivity in Bauko, averaging only 46%. This shortfall primarily stems from suboptimal farm management and input utilization. The Cobb-Douglas analysis identified key variables impacting productivity. Farm Yard Manure (FYM) and training showed high significance at a 1% level, while farm size and household size were significant at a 5% level. The adjusted multiple determinations coefficient (R2) reached 0.78, signifying a well-fitted model that explains 78% of the variable's variation. Based on these findings, several recommendations are proposed to enhance sugarcane productivity in the region. These include improved ratoon management, cost-effective labor practices, FYM promotion, sugarcane variety enhancements, and the distribution of processing machinery for muscovado production. Additionally, seminars and training programs should address postharvest losses, sucrose content, pest and disease management, muscovado marketing, and organizational issues. Encouraging the formation and strengthening of sugarcane farmer associations will facilitate the adoption of new technologies. Furthermore, government and related entities should support intensification methods to assist small landholder farmers in overcoming their challenges. These measures collectively aim to boost sugarcane productivity in Bauko, Mountain Province.