Supports Open Access
0.5 Impact Factor
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
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.
Zambia has been implementing agricultural input subsidy programmes to stimulate crop production and productivity among smallholder farmers with the goal of increasing national food security.
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.
This study examines how climate variability affects agricultural productivity and economic growth in Nigeria using time-series data from 1960 to 2024.
Volume 19
Cet article analyse l’impact des chocs agro-climatiques sur la sécurité alimentaire des ménages ruraux sénégalais à l'aide d'un modèle probit ordonné. La méthode du score de consommation alimentaire est utilisée pour appréhender l'état de la sécurité alimentaire des ménages. L’étude montre que 14% des ménages vivant en milieu rural sont à consommation alimentaire faible, 17% à consommation alimentaire limite, et 69% à consommation alimentaire acceptable.
This study examined the effect of collective marketing on mango income for 226 smallholder farmers in Mwala sub-county. The study employed an endogenous switching regression model to account for selection bias from observed and unobserved farmer attributes.
Climate change and its pronounced effects have greatly disfranchised the livelihoods of aquafarmers. To leverage these negative effects of climate change, climate-smart aquaculture (CSA) practices have been developed for adoption by farmers. However, it is not known whether these practices have made any meaningful contribution to farmers in terms of their livelihoods and resilience to the vagaries of climatic change.
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.
Volume 18 (2023)
The special issue focused on topics in environmental and resource economics that originated from the inaugural conference of the African Association of Environmental and Resource Economists (AFAERE), held on 2-4 August 2021.
This study investigates the effect of temperature and precipitation on the economic value of agricultural output from farm households in six Sub-Saharan African countries: Ethiopia, Malawi, Niger, Nigeria, Tanzania and Uganda.
Accessing water supply services remains a serious challenge in Wakiso District in Uganda, where most households travel long distances to collect water – a process that threatens their health, productivity and economic wellbeing.
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.