Background: In agricultural-dependent economies, extension programmes have been the main conduit for disseminating information on farm technologies, support rural adult learning and assist farmers in developing their farm technical and managerial skills. It is expected that extension programmes will help increase farm productivity, farm revenue, reduce poverty and minimize food insecurity. In this study, we estimate the effects of extension services on farm productivity and income with particular reference to agricultural extension services delivered by Association of Church-based Development NGOs (ACDEP). Methods: The study used cross-sectional data collected from 200 farm households from two districts in the Northern region of Ghana. The robustness of the estimates was tested by the use of regression on covariates, regression on propensity scores and Heckman treatment effect model. Results: The study found positive economic gains from participating in the ACDEP agricultural extension programmes. Apart from the primary variable of interest (ACDEP agricultural extension programme), socioeconomic , institutional and farm-specific variables were estimated to significantly affect farmers' farm income depending on the estimation technique used. Conclusions: The study has reaffirmed the critical role of extension programmes in enhancing farm productivity and household income. It is, therefore, recommended that agricultural extension service delivery should be boosted through timely recruitment, periodic training of agents and provision of adequate logistics.

In sub-Saharan Africa, urbanisation and food systems change contribute to rapid dietary transitions promoting obesity. It is unclear to what extent these changes are mediated by neighbourhood food environments or other factors. This paper correlates neighbourhood food provision with household consumption and poverty in Khayelitsha, South Africa and Ahodwo, Ghana. Georeferenced survey data of food consumption and provision were classified by obesity risk and protection. Outlets were mapped, and density and distribution correlated with risk classes. In Khayelitsha, 71% of households exceeded dietary obesity risk thresholds while 16% consumed protective diets. Obesogenic profiles were less (26%) and protective more prevalent (23%) in Ahodwo despite greater income poverty in Khayelitsha. Here, income-deprived households consumed significantly (p < 0.005) less obesogenic and protective diets. Small informal food outlets dominated numerically but supermarkets were key household food sources in Khayelitsha. Although density of food provision in Ahodwo was higher (76/km2), Khayelitsha outlets (61/km2) provided greater access to obesogenic (57% Khayelitsha; 39% Ahodwo) and protective (43% Khayelitsha; 16% Ahodwo) foods. Consumption and provision profiles correlate more strongly in Ahodwo than Khayelitsha (rKhayelitsha = 0.624; rAhodwo = 0.862). Higher obesogenic food consumption in Khayelitsha suggests that risky food environments and poverty together promote obesogenic diets.

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Background: Despite the enormous importance of maize in Ghana, maize farmers in the country continue to experience low yields, making Ghana self-insufficient in the production of the crop. For maize farmers to be helped to increase productivity, the focus should not only be on whether or not they have adopted productivity-enhancing technologies, but it is necessary to carefully examine whether they are even making maximum use of the technologies or inputs available to them. This study analysed resource use efficiency for Ghana's maize farms. Methods:The data used were obtained through a cross-sectional survey of 576 maize farmers in the Northern Savannah, Transitional, Forest and Coastal Savannah zones of Ghana using structured questionnaire. Descriptive statistics, stochastic frontier analysis and the ratio of marginal value product to marginal factor cost were the methods of analysis employed. Results:The results showed that generally, maize farmers in Ghana were inefficient in their use of resources available to them. Fertilizer, herbicide, pesticide, seed, manure and land were underutilized, while labour and capital were overutilized by the farmers. The results further showed that maize farmers in Ghana exhibit increasing returns to scale, indicating that the famers can increase their output by increasing the use of some of the key resources. Conclusion:Incentives and strategies aimed at encouraging farmers to optimize the use of fertilizer, herbicide, pesticide, seed, manure and land are recommended to ensure improved maize productivity in Ghana. Currently, incentives and strategies could take the form of better management by government of the current fertilizer subsidy programme and efficient input distribution through farmer-based organizations to ensure easy access by farmers.