A COMPARATIVE PROFITABILITY ANALYSIS OF BROILER PRODUCTION SYSTEMS IN URBAN AREAS OF EDO STATE, NIGERIA
Table Of Contents
Thesis Abstract
Abstract
Broiler production is a significant agricultural activity in urban areas of Edo State, Nigeria, contributing to food security and economic development. This study aimed to conduct a comparative profitability analysis of different broiler production systems in urban areas of Edo State. The research focused on intensive, semi-intensive, and extensive broiler production systems prevalent in the region. A stratified random sampling technique was employed to select 120 broiler farmers practicing the different production systems. Data on production costs, revenues, and profitability indicators were collected through structured questionnaires and interviews. The study analyzed the cost components, revenue generation, and profitability levels of each production system to determine the most profitable system for broiler production in urban areas of Edo State. The results indicated variations in production costs and revenues among the different broiler production systems. Intensive systems had the highest production costs due to expenses on feeds, housing, and labor, but generated substantial revenues resulting in relatively high profitability levels. Semi-intensive systems had moderate production costs and revenues, while extensive systems had lower costs but also generated lower revenues and profitability. Profitability indicators such as Return on Investment (ROI) and Net Profit Margin (NPM) were used to compare the profitability levels of the different production systems. The intensive system recorded the highest ROI and NPM, indicating its higher profitability compared to semi-intensive and extensive systems. However, the extensive system showed resilience in terms of lower production costs, suitable for farmers with limited capital and resources. Factors influencing the profitability of broiler production systems in urban areas of Edo State were also identified, including feed costs, market prices, disease control, and management practices. Recommendations were provided to enhance the profitability of broiler production systems, such as improving feed efficiency, disease prevention measures, and market access for farmers. In conclusion, the study highlighted the importance of conducting a comparative profitability analysis to determine the most suitable broiler production system for urban areas of Edo State. The findings can guide policymakers, extension services, and farmers in making informed decisions to improve the economic viability and sustainability of broiler production in the region.
Thesis Overview
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</p><div>Broiler production is carried out under different production systems and different production systems imply variations in cost of inputs and</div><div>returns. This study looked at the cost implications of raising broilers under different production systems as well as constraints faced by the farmers. The</div><div>study was conducted in Edo State of Nigeria. The data used in the study were obtained from a cross-sectional survey of broiler farmers in the State from</div><div>October–December, 2013. A multi-stage sampling process was used to select the 211 respondents for this study. The data collected were analyzed using</div><div>descriptive statistics, profitability ratios and multiple regression models. A five point Likert scale was used to judge level of severity of the constraints</div><div>faced by the farmers. The study showed that the mean age of farmers that adopted the battery cage systemwas 48 years and 46 years for the farmers that</div><div>used deep litter system. The Gross Margin analysis gave a value of N2,422.24 and a Net Farm Income (NFI) of N2,412.40 per bird for battery cage system</div><div>while the deep litter system had a gross margin of N1,601.77 and NFI of N1,593.80 per bird. The profitability ratios showed Rate of Return on Investment RRI</div><div>(91.69%), Return on Labour RL (N18.03), Return on Feed RF (N144.22) and Return Per Naira invested RNI (N0.91) for the battery</div><div>cage system as against Rate of Return on Investment RRI (70.74%), Return on Labour RL (N30.28), Return on Feed RF (N117.95), and Return Per Naira Invested</div><div>RNI (N0.71) for the deep litter system. This shows that both systems were profitable in the study area. The Return per</div><div>Naira Invested (RNI) showed that for every N1 invested a return of 91 kobo and 71 kobo accrued to the farmer for battery cage</div><div>and deep litter systems respectively. Only three variables in the regression model were found to be statistically significant (P<0.05), these were feed</div><div>cost, electricity, and purchase cost of day old chick for both the battery cage and deep littersystems. Feed cost was the major determinants of revenue</div><div>accruing to the farmers.</div>
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