Purpose: 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.Design/methodology/approach: 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.Findings: 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.Originality/value: 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 contribution of technological change to agricultural productivity in developing countries has long been documented. It is believed that the adoption of new agricultural technologies, such as high-yielding varieties, could lead to significant increases in agricultural productivity and stimulate the transition from low-productivity, subsistence agriculture to a high-productivity agro-industrial economy. The article uses the local average treatment effect (LATE) to estimate the impact of adoption of improved rice varieties on rice farmers' productivity in the three major rice ecologies of Nigeria. A stratified random sampling was adopted by the study to select a sample of 500 rice farmers across ecologies. Findings of the analysis indicated that adoption of improved varieties helped raise farmers' area harvested and yield per hectare, respectively, by 0.39 hectare and 217.9 kg/ha for NERICA and 0.51 hectare and 210.4 kg/ha for other improved varieties, thereby increasing their productivity. In addition, NERICA varieties performed better than any other upland improved variety and the impact of its adoption on both area harvested and yield was greater among female rice farmers than among their male counterparts. Intervention programs to increase the dissemination of high-yielding rice varieties to areas with low productivity are, therefore, a reasonable policy instrument.

Do level of food demanded and dietary diversity jointly provide better estimates on household food security status or is this association modified by level of urbanization within urban setting? To better understand this relationship, we investigated the Nigerian urban household’s food security situation in terms of food access and utilization component through a demand system and diet diversity models using cross-sectional data. Results showed that the food groups considered were normal goods but with varying magnitudes. Most households were price-sensitive, especially to high-value food commodities, while cross-price effect showed a mix of substitute and complementary relationships. However, the level of dietary diversity was moderate. The quantile regression analysis revealed that income and urbanicity index significantly improved consumption of diverse diets, with higher impacts at the lowest quantile. The linkages between rising urbanization and the scourge of food insecurity will require more integration of strategies aimed at tackling the urban food system, infrastructural development and food policy consideration. Therefore, policy options tailored towards better food access and consumption of diverse diet were proffered.

There is an increasing need to improve value addition in order to get maximum utility from agricultural systems. Using a retrospective panel data from 482 cassava farmers covering the years 2015–2017, this study examined the effect of value addition on productivity of farmers in the cassava system in Nigeria. We analysed a non-parametric Data Envelopment Analysis to examine productivity across cassava production systems over the three year period. We also examined the impact of value addition on productivity using an endogenous switching regression to account for unobservables that determine the decision to add value and productivity of the farmers. The study found that cost and revenue outlays increased with value addition. Cassava farmers in general operated below the efficiency frontier, with total productivity declining over the 2015–2017 period. However, higher value addition farmers had better efficiency and non-reducing productivity in the periods studied. We found evidence of selection bias in the decision to add value and productivity of the farmers. The conditional and unconditional outcome estimates revealed positive gains in productivity with value addition, confirming the hypothesis that value addition increases farming households’ productivity. We recommend that essential services such as extension services, agricultural training, and ease of enterprise registration that drive agricultural value addition be made available to farmers.