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Ọsẹ dúdú production and sale constitute a major indigenous business among the Yoruba people. Scholars have noted that the business is capable of boosting the socio-economic status of black soap entrepreneurs and of countries. However, ọsẹ dúdú enterprise has some significant threats and problems that are yet to be researched. This chapter examined the challenges of osẹ dúdú entrepreneurs in Southwest Nigeria. Twenty-six interviews were conducted among indigenous black soap producers and sellers in Ogun, Oyo and Lagos States. Data were analysed in themes. Weather, financial, spiritual, copyright and succession challenges, as well as issues such as a large number of sellers, debt, lack of support, pricing and brand competition, were found to be problems faced by black soap entrepreneurs. This chapter concluded that certain controllable and uncontrollable factors were not only capable of limiting the development of osẹ dúdú business but also have adverse implications for the achievement of the sustainable development goals through the indigenous resource. This chapter suggests that osẹ dúdú business actors such as mechanical engineers, local fabricators, financial institutions, and governmental and non-governmental agencies collaborate with black soap entrepreneurs to ameliorate the challenges of the latter. It is only through this alliance that black soap entrepreneurs can contribute to indigenous business development and the achievement of sustainable development goals in Africa.

The purpose of this paper is to examine the impact of e-wallet on farmer’s welfare in Nigeria.

Primary data were used to collect information on 81 users and 123 non-users of e-wallet system. Foster, Greer and Thorbecke (FGT) analysis was used to profile farmer’s poverty status, while propensity score matching (PSM) was used to assess the impact of e-wallet on welfare using per capita expenditure as its proxy.

The FGT analysis shows that poverty incidence, depth, and severity were found to be higher among non-users of e-wallet than its users. The PSM analysis showed that e-wallet had a positive impact on welfare; Rosenbaum sensitivity analysis revealed that the findings are sensitive to hidden bias due to unobserved characteristics.

The relevance of matching method depends on data availability for the specific policy problem. Hence, the study is limited to the use of the PSM because of the limitation of household data availability to only a sample of farmers in Oyo State.

This paper examines the impact of the new system of input distribution (e-wallet) on farmer’s welfare.

The purpose of this paper is to examine the impact of socio‐economic variables on households' food demand. This paper derived the indirect utility function in terms of expenditure and price through the use of nonlinear demand quadratic almost ideal demand system (QUAIDS) model to estimate price, expenditure and elasticities of food items consumed in the North‐Central, Nigeria, and the impact of the socio‐economic variables on households' food demand.

The primary data used came from random selection of 396 households between 2006 and 2007 through a stratified random sampling procedure from Kwara and Kogi states making up the North Central zone in Nigeria.

All own price elasticities of the six food groups analyzed (root and tubers – RT, cereal – CR, legume – LG, animal protein – AP, fruits and vegetable – FV, fats and oil) showed that they are price inelastic. The results of income elasticity show that AP consumption is the most sensitive to income changes, while fats and oil is the least sensitive to income changes. Factors that positively and significantly affected demand for LG, FV, AP, CR and RT were household size (HSZ), level of education, primary occupation, access to credit, presence of children ≤6 years mainly at P<0.01. HSZ (P<0.01) negatively affected demand for AP.

This paper is original and novel in that it examines the impact of socio‐economic variables on households' food demand. High‐income elasticities of demand for all the food groups in QUAIDS except fruits and vegetable, as well as fats and oils, suggests that income‐generating policies will foster higher levels of consumption for these commodities.

The purpose of this paper is to assess the efficiency of rice millers and determine factors influencing cost efficiency in Southwest Nigeria using the cost route approach.

The paper analyses cost efficiency of rice millers using primary data collected from 62 respondents through a structured questionnaire. A multi-stage sampling procedure was employed for this purpose. The profile of rice millers and mills were derived using the descriptive analysis. Cost efficiency of the millers was obtained using the quadratic cost function analysis, and Tobit regression was used to determine factors that influence cost efficiency.

The results showed that cost efficiency indexes range from 1 to 57 percent averaging at 20.2 percent. Large rice mills were found to be most efficient with the mean cost efficiency of 25 percent. Paddy, transport and energy costs contributed positively and significantly (p=0.05 and p=0.01) to cost efficiency. Milling capacity and machine age increase cost efficiency while the distance to purchase paddy and quantity of diesel used reduces cost efficiency.

The paper shows that there is enough potential for rice millers to improve their cost efficiency based on the available technology. This has a direct implication on the economy through the increased domestic production and processing of rice to meet the increasing demand for locally produced rice.

The paper attempts to bridge the gap in the literature of cost efficiency among rice millers in Nigeria, and specifically in the application of the normalized quadratic cost function in estimating cost efficiency in the rice milling sector in Nigeria.

The purpose of this paper is to analyze the technical efficiency (TE) of the rainfed rice farming system in Nigeria.

Special attention is directed to the construction of confidence interval (CI) for individual efficiency estimates using stochastic frontier production model.

The results show that the coefficient of the regression monotonically and significantly increased output level, while returns‐to‐scale (RTS) of 0.943 suggest decreasing RTS in the study. An average point estimate of TE of 0.669 is obtained from the analysis. CI show that the TE intervals are quite wide, as the assumption that farms originally identified to be on the frontier, or very close to the frontier, by the point estimate may be below the frontier. Age and years of schooling of the farmers are efficiency‐increasing policy variables found in the study.

Contrary to the previous efficiency studies, the present study demonstrates that economic inferences drawn on the basis of CI seem plausible to provide much more fruitful and insightful information about the TE of farms in the country, rather than the point estimation alone.

The study was conducted to investigate the economics of dry season vegetable production in Ogun state, Nigeria.

Descriptive statistics, budgetary technique and regression analysis model were used to analyze the data collected from 120 respondents using multistage sampling technique.

Descriptive statistics showed that while the mean age of the farmers was 62.1 ± 38.78, the mean farming experience was 17.3 ± 12.84. Majority (56.7%) of the respondents were uneducated. Vegetable enterprise in the area was male-dominant. The result of budgetary analysis revealed that the average net and total income were ₦ 55,405.29 and ₦ 131,514, respectively. While the average total variable cost was ₦ 64,767.29, average total cost was ₦ 76,108.70. Benefit cost ratio and rate of returns were 1.73 and 0.73, respectively. The regression analysis revealed that revenue from vegetable production in the study area was influenced by farm size, seed quantity, farming experience, quantity of labor and fertilizer used.

It is therefore imperative for policymakers to encourage dry season vegetable farming as a viable enterprise option for the unemployed and upcoming entrepreneurs. Meanwhile, the government should design and implement policies that would improve access to land, labor, quality seed, water and fertilizers.

The study adds to the growing body of literature on inherent prospects for labor and entrepreneurs as regards the opportunities latent in dry season farming activities.

Much attention has been paid to farm credit access with less focus on determining the actual credit amount needed to bring about a specified increase in productivity relative to the finance being sought. The paper aims to discuss this issue.

Using 2016 cross-sectional data of plantain farmers, the authors employ the Cobb–Douglas stochastic frontier production function to determine the technical efficiency (TE) of each farmer. Current plantain quantity produced by farmers and the TE are then used to estimate plantain quantity at a target efficiency. The finance needed to produce at the target efficiency is estimated using the Harrod–Domar (HD) growth equation and the authors then subtract the farmers’ savings from the estimated amount to determine the financing gap of the farmers.

Results of this study show that the actual amount required to improve the productivity of farmers to target levels of TE can be estimated and that credit amount granted to farmers can be tied to a specific production efficiency. Credit schemes with interest rates below 9 per cent are more beneficial to farmers while access to credit is determined by interest rate, education, credit process duration, land ownership and asset value in the study area.

The implication of this research is that it opens up the possibility of further exploring the application of the HD theory at the micro level.

The findings in this study have important implications on the provision of agricultural credit to small farmers. The first is that the TE of farmers plays a very critical role in determining the actual amount of credit needed to bridge the farm-level financing gap and impact positively on productivity. Second, while it is important to bridge the farm-level financing gap, this can only be beneficial to the farmers at single-digit interest rates below 7 per cent. Finally, granting of credit to farmers can be tied to specific production increase target to reduce indiscipline and mismanagement in credit use.

The findings of this study will go along in helping to prevent mismanagement and indiscipline in the use of scarce financial resources in agricultural production.

This study is the first of its kind, using TE and bringing the HD equation down to the farm level to estimate the exact amount required by farmers to bring about specific increase in production, determining the credit amount beyond which mismanagement may set in.

The purpose of this paper is to study the production and efficiency of rice growers in drought prone areas with special attention given to economic and financial factors.

The authors use a parametric stochastic frontier approach and a non-parametric data envelopment analysis.

The study found that financial and liquidity constraints negatively influence production efficiency while off-farm work positively influences efficiency in drought prone areas.

Many biotic and abiotic factors affect the production efficiency of rice growers. Among abiotic stress, drought is the strongest constraint affecting nearly one third of the total rice area in Asia and causing significant economic losses. Farmers’ economic conditions and financial constraints further exacerbate the situation. However, very few studies have analyzed the efficiency in drought prone areas and the influence of economic and financial factors. This study contributes to in this regard by augmenting economic and financial factors in the efficiency estimation of drought prone areas using parametric and non-parametric approach.

The purpose of this paper is to determine the level of flexibility in loan products offered to smallholder farmers in Siaya County in Kenya and to examine the effect of flexibility on access to credit.

The paper uses primary survey data from a sample of smallholder farmers in Siaya County in Kenya who had borrowed from various lending institutions within the study area. The paper develops an index variable of loan flexibility using multiple correspondence analysis (MCA) technique. The model is estimated using both OLS and truncated regression analyses. Access to credit is measured as the amount of loan borrowed by each farmer.

The authors find that the level of flexibility of loans offered to farmers is low. Furthermore, the authors find that the level of flexibility is not significantly correlated to access to credit. Further analysis using individual components of flexible loans show that refinancing and lines of credit are more likely to improve access to credit when farmers are more educated and wealthier, respectively. The age of a farmer, the type of lender, the type of loan, education and household wealth are the main determinants of access to credit.

The paper adds to the debate on access to credit by showing that theoretically, while loan flexibility should lead to higher credit access, this is not a key determinant of access to credit in this context.

The purpose of this study is to examine the impact of Anchor Borrowers Programme (APB) on youth rice farmers’ productivity (yield/ha).

Using cross-sectional data from youth rice farmers in Kaduna State, Northern Nigeria, probit regression was used to examine the determinants of participation in ABP amongst the youth rice farmers. In addition, the instrumental variable (IV) regression approach that could mitigate selection bias due to unobservable factors resulting from the cross-sectional nature of the data was also used to determine the impact of the ABP on rice productivity of youth farmers.

Findings from the study indicated that marital status, education, access to credit and membership of cooperative association were the significant determinants of participation in the ABP amongst the youth rice farmers.

The implication of the result is that participation in the ABP leads to an increase in yield by about 42.46%, which shows the effectiveness of the ABP in the study area.

This study provides a rigorous econometric analysis of the determinants of ABP and its impact on rice productivity amongst youth farmers in Northern Nigeria. Thus, the study recommends improvement in credit accessibility, participation in the cooperative association and more education of the farmers to sustain the inputs distribution aim of the ABP.