By Ogunmefun, Samueloluwatobi
The broad objective of the study was to analyze factor-product relationship in pisciculture value chain in Lagos state, Nigeria. The specific objectives were to: (i) determine the socio-economic characteristics of the pisciculture farmers and examine influence on their output, (ii) identify the value chain steps in pisciculture enterprise, (iii) determine the factor-product relationship and estimate the technical efficiency in the value chain, (iv) estimate the costs and returns of pisciculture value chain and (v) identify the various constraints facing the pisciculture value chain. The study adopted the survey design. It utilized mainly primary data. A structured close-ended questionnaire was used to collect information from the 120 fish farmers in the area. Data generated were analyzed using the stochastic frontier analysis (SFA), budgetary analysis, rate of return; test of difference in mean and value chain analysis. Average output of fish per production cycle was 14,000kg, while an average farm size (land) was 1.97ha per farmer. Average scores for farming experience, household size and years of schooling were 11.7years, five persons and 14.4 years respectively. The farmers were young as indicated by mean age of 43years. The result showed that all farmers (100%) culture fingerlings, juveniles and market size fishes while only few carryout hatching of eggs (40%) and culture fries (50%) in pisciculture enterprise in the state. Mean scores for pond size (X ̅=2.22m2) and feed (X ̅=3.12N/ha) were also recorded. Six factors namely, farm size, labour, feed, fertilizer, stocking capacity and depreciation value with coefficients of 0.02, 0.28, 0.03, 0.04, 0.40 and 0.20 respectively exerted significant (p3.8), lack of credit (X ̅>3.6), high cost of inputs (X ̅>3.4) and poor technical know-how (X ̅>3.4). Value chain exerted no significant effect on The broad objective of the study was to analyze factor-product relationship in pisciculture value chain in Lagos state, Nigeria. The specific objectives were to: (i) determine the socio-economic characteristics of the pisciculture farmers and examine influence on their output, (ii) identify the value chain steps in pisciculture enterprise, (iii) determine the factor-product relationship and estimate the technical efficiency in the value chain, (iv) estimate the costs and returns of pisciculture value chain and (v) identify the various constraints facing the pisciculture value chain. The study adopted the survey design. It utilized mainly primary data. A structured close-ended questionnaire was used to collect information from the 120 fish farmers in the area. Data generated were analyzed using the stochastic frontier analysis (SFA), budgetary analysis, rate of return; test of difference in mean and value chain analysis. Average output of fish per production cycle was 14,000kg, while an average farm size (land) was 1.97ha per farmer. Average scores for farming experience, household size and years of schooling were 11.7years, five persons and 14.4 years respectively. The farmers were young as indicated by mean age of 43years. The result showed that all farmers (100%) culture fingerlings, juveniles and market size fishes while only few carryout hatching of eggs (40%) and culture fries (50%) in pisciculture enterprise in the state. Mean scores for pond size (X ̅=2.22m2) and feed (X ̅=3.12N/ha) were also recorded. Six factors namely, farm size, labour, feed, fertilizer, stocking capacity and depreciation value with coefficients of 0.02, 0.28, 0.03, 0.04, 0.40 and 0.20 respectively exerted significant (p3.8), lack of credit (X ̅>3.6), high cost of inputs (X ̅>3.4) and poor technical know-how (X ̅>3.4). Value chain exerted no significant effect on