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African Journal of Agricultural and Resource Economics (AfJARE)
A publication of the African Association of Agricultural Economists (AAAE)
Latest Publications
Cette étude analyse les effets de la politique de réglementation de la vente du soja sur les performances des producteurs au Bénin de 1990 à 2023, en se concentrant sur l'offre de production et le revenu net agricole.
This study aimed to evaluate the impact of cluster farming on the wheat output and input commercialisation level.
This study investigates the impacts of climate-smart agricultural (CSA) services on farmers’ resilience in the Gubalafto district of Ethiopia.
This study examines determinants of food loss and waste behaviour among farming households in western Nigeria
In this paper, we establish a link between crop productivity, crop market participation and agricultural technology use among smallholder farmers.
This study compares the benefits of using digestate and compost in Burkina Faso. A mathematical programming model was used to simulate the advantages under three scenarios.
Volume 20
Agricultural digitisation is one of the key drivers of agricultural development, as well as of rapid economic growth, in many countries. This study aims to investigate the causal links between agricultural digitisation and high-quality agricultural development in the context of developed and developing countries.
Bien que l’économie africaine en général et celle de l’Afrique de l’ouest en particulier demeure fortement dépendante du secteur agricole, ce dernier s’avère être le moins productif parmi les trois grands secteurs considérés de l’économie, notamment le secteur agricole, industriel et des services.
This study examined the effect of sustainable intensification (SI) technologies, specifically the use of improved maize seed varieties, of improved bean seed varieties (Nua45), crop rotation, maize-legume intercropping and doubled-up legume systems on farm income in Dedza district, Malawi.
The hazards and impacts of climate change are exacerbating. They threaten crop productivity, farmers’ resilience and the mitigation of greenhouse gas (GHG) emissions. Understanding climate-smart agriculture (CSA) and applying it is crucial.
Volume 19
Willingness-to-pay (WTP) studies for traditional food products are plausibly affected by unobserved decisions and strategic collusion between the experimenter and respondents. Similarly, WTP estimates in developing countries using a one-time survey might be inconsistent, as the acceptance of new products likely varies with exposure to product attributes.
This study investigates risk perceptions and management strategies among maize growers in the equatorial region of South Sudan. A cross-sectional study design included a survey questionnaire that was used to analyse data from 510 respondents.
The burden of low-quality diets and childhood undernutrition is widespread in rural areas in Sub-Saharan Africa, where households rely mostly on agriculture. Various empirical studies have shown the relative importance of the market, and hence food purchases, compared with farm diversification in raising dietary diversity.
Understanding rice farmers’ responses to market prices is essential for policy makers to design effective policies to better manage input demand and rice supply. This paper applies duality theory to derive the elasticities of input demand and output supply for Vietnamese rice production using a translog profit function approach.
Volume 18 (2023)
This paper investigates the interdependence of decisions on the adoption of agricultural technology and the simultaneous interaction between adoption and food security situations of smallholders, using a sample of 260 households from rural Ethiopia.
Evaluating the impact of agricultural practices helps policymakers and farmers in their decision-making. In Zambia, most households depend on agricultural activities, in particular maize production.
Improving local rice production capacity is a key element on the agenda of most countries in the West African Economic and Monetary Union (WAEMU).
This study evaluated the effect of agriculture, industry, manufacturing and the service sector on economic growth for the period 1991 to 2020 using the autoregressive distributed lag stationarity (ARDL) bounds-testing approach.