ABSTRACT

The study was undertaken to assess the profitability of Improved Apiculture and its Relationship to Poverty Status in Abuja, Nigeria". A purposive sampling technique was used to purposively select 140 bee farmers from three area councils namely, Abaji, Bwari and Kwaliin the FCT. The data were analysed using descriptive statistics, Farm budgeting techniques, Foster-Greer Thorbecke (FGT) model, stochastic frontier model and Pearson correlation. Result revealed that all bee farmers in the study area were male and within the age bracket of 30-39 years with a mean age of 37. The average household size was 6. About 62.9% of the bee farmers had a secondary education, indicating that they are largely literates. The average years of farming experience was 4. About 62.9% of the farmers had contact with extension agents, about 35% had more than 40 beehives on their farm land. The calculated net farm income of beekeeping per hive of 0.7m2 in the study area was N32,514.56, also the returns to naira invested of 2.67 implies that for every N 1 invested in bee farming , a profit of N 1.67 was generated. The poverty gap index shows how far bee farming households are from the poverty line, it was estimated to be 0.39; this implies that the mean aggregate food and non-food consumption shortfall of the poor bee farmers relative to the poverty line across the whole population of bee farmers was 39% and the poor bee farmers are not too far away from the poverty line.The parameters of the stochastic frontier production function were estimated simultaneously with those of the model of inefficiency effects. Results indicated that all the variables were significant (P<0.01) except baiting material. The mean technical and allocative efficiencies were 81% and 64% respectively. Findings further revealed that none of the sampled beekeeping farms reached the frontier threshold.However, the average economic efficiency of the beekeeping farmers was 52%.The mean annual income of the beekeeping farmers from beekeeping (N30,9671.43) was higher than that of the beekeeping farmers income from on-farm activities (N162,212.86) and off-farm activities (N16,285.71) indicating that beekeeping contributing a higher proportion to the total income of the beekeeping farmers. Constraints highlighted were inadequate capital (69.3%), problem of theft (52.1%) amongst others. It was recommended that more extension agents should be trained on modern beekeeping so that they can effectively disseminate beekeeping information to the farmers. Beekeeping farmers should leverage beekeeping association as an avenue to access finance, inputs, technical information and market