A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda

In Uganda overall crop loss due to pests exceeds that caused by drought, soil infertility, or poor planting material. Integrated Pest Management (IPM) technologies can reduce pest damage to crops by emphasizing non-chemical control methods thereby reducing potential negative effects of chemicals on the environment while preserving profitability. This study investigates the adoption of eight IPM practices including intercropping, crop rotation, two improved varieties, incorporating an 'exotic weed chaser', optimal planting dates, optimal planting density and fertilizer use. Variables include market forces, social factors, management factors, and technology delivery mechanisms. Results were consistent across the multivariate logit and ordered logit analyses. The single most important category of influential factors across all crops and technologies is economic/market forces, including labor availability, technology resource requirements, technology complexity, and the level of expected benefits. Social factors are generally less associated with IPM technology adoption than either market or institutional factors. Management factors are not important for adoption of the IPM technologies evaluated for the cowpea crop, while with groundnut IPM practices, no social or institutional factors are found to be important. High expected/potential benefits from the groundnut IPM technologies increase the probability of their adoption, as does the availability of off-farm income and farmers' membership in farm organizations. Generally high levels of adoption (>75%) were observed with crop rotation, and improved varieties. Other technologies registered low levels of adoption (