Aims: Sesame productions are constantly bedeviled with menace because of inadequate supply of quality seed, extension services, credit facilities, presence of inefficiencies among others. The capacity of sesame producers to accept new innovation and achieve sustained production relies upon the level of profit efficiency, generally dictated by variable input and output prices including the cost of fixed factors of production. Physical profitability contemplations such technical, allocative and economic efficiency are significant in improving production proficiency but profit efficiency will result to higher profit to sesame farmers. This paper examined the profit efficiency of sesame production in Yobe State, Nigeria. Research Methods: Multistage sampling procedure is utilized to choose the farmers. A structured questionnaire is administered to 180 respondents spread across 12 Local Government Areas to acquired essential information. Descriptive statistics used includes mean, frequency and percentage. The inferential statistic used is stochastic translog profit function. Findings: The result of levels of profit efficiency shows the mean profit efficiency of 0.8828. The result of the translog profit function indicates the sigma square to be 0.249 and variance of 0.909. All the cost variables has negative coefficients and significant at one percent level except for cost of farmlands. The inefficiency variables levels of education, Access to Extension Services, Access to credits among others reduce inefficiency while off-farm income and access to market information increase inefficiency. Conclusion: It can be concluded that inefficiency exist in the utilization of resources. All the input cost variable decreases profit efficiency and all the socioeconomic characteristics decreases profit inefficiency with the exception of, off-farm income and access to market information which were found to increase profit inefficiency.
Purpose: The study examined the profitability of sesame (Sesanum indicum) production in Yobe State, Nigeria. Methodology: One hundred and eighty (180) sesame farmers were sampled from 12 villages spread across three Local Government Areas in Yobe State using multistage sampling procedure. The descriptive statistics such as frequency, percentages and mean were used to describe the socioeconomic characteristics of farmers and constraints associated with sesame production. The inferential statistics employed was the Gross margin (GM) which was used to estimate the profitability of sesame production. Findings: The result of socioeconomic characteristics revealed that majority (77.77%) of the respondents were aged between 21-60 years old and all (100%) of the respondents had one form of education or the other. The result of profitability of sesame production revealed that the gross margin (GM) was N157,519.00 and the average return per Naira invested was N2.07. Some of the major constraints faced by farmers in sesame production are inadequate fund (88.7%), inadequate extension services (72.0%), problem of pest and disease (66.1%) among others. Recommendations: the study recommended that strategies to improve profitability should focus on improved farmer access to institutional credits and improved infrastructural facilities such as access roads for easy linkage to markets. Also, In order to cope with the problem of inadequate and high cost of seed, the government and research institute should make improved seed available at the right time and also at subsidies rate to the farmers. Keywords: sesame production, profitability, constraints, gross margin, Yobe State
This study analyzed climate change vulnerability and adaptation among smallholder farmers in Borno State, Nigeria. The study was conducted in Sudan and Guinea savannah Agro-Ecological Zones (AEZ) of the state. Survey research design was employed for the study. Multi-stage sampling procedure was used in selecting 360 farmers for the study. Descriptive statistics such as percentages, frequencies, means and livelihood vulnerability index (LVI) were used in analyzing the data. Overall, based on IPCC-LVI explanations of climate change vulnerability, Sudan savannah was found to be the most vulnerable AEZ with vulnerability index of -0.0104 against Guinea savannah with LVI of -0.0416. A few factors can explain this low adaptive capacity: A deteriorating ecological base, inadequate capacity building and enhancement programmes widespread poverty arising from dwindling economic and livelihood activities and ravages of insurgency among others. In both AEZs, farmers do adapt to climate change through various farm level practices. These adaptation strategies, however, do vary slightly among the two AEZs. The adaptation strategies practiced by respondents in Sudan AEZ were multiple cropping (98.9%), early planting (63.9%), mulching/use of cover crops (36.1%) and increased fertilizer application (25.00%). In Guinea AEZ, the most widely used adaptation strategies include multiple cropping (93.30%), use of new crop varieties tolerant to the new climate regime (72.20%), increased application of fertilizer (47.20%) and application of chemicals (25.00%). The study concludes that Sudan savannah AEZ is the most vulnerable AEZ among the AEZs considered in this study. Major adaptation strategies practiced were technologically based. The study, therefore, recommends that farmers' adaptive capacity should be enhanced particularly in Sudan savannah zone.
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