African Journal of Agricultural and Resource Economics (AfJARE)
A publication of the African Association of Agricultural Economists (AAAE)
Latest Publications
Utilising data from four rounds of the Integrated Household Survey Panel (2010–2019), a combined Malmquist data envelopment analysis and Tobit regression approach suggests remoteness as a crucial determinant of technical change and productivity growth.
Cet article analyse les effets des produits forestiers non ligneux (PFNL) sur la pauvreté multidimensionnelle au Burkina Faso. Il s'appuie sur des données primaires collectées auprès de 384 ménages sélectionnés aléatoirement.
Index-based insurance has emerged as a compelling strategy for agricultural risk management in Africa, particularly in contexts where smallholder farmers are disproportionately exposed to climate-related hazards.
The current study investigated the impact of using information and communication technology-based weather information services on the adoption of climate change adaptation strategies.
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.
This paper examines the optimal land resource allocation for tree crop enterprises in the Eastern region of Ghana based on data collected from sampled cocoa, oil palm, and rubber farmers.
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 was carried out to evaluate different spraying regimes for the production of two cowpea varieties (Ife Brown and IT2246) in the humid southwest agro-ecologies of Nigeria in order to recommend optimum spraying regimes for cowpea production in the zone.
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.
Volume 18 (2023)
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.
This study ascertained the influence of farmers’ perceptions of climate change effects and their household characteristics on the choice of adaptation technologies they adopt. The survey relied mainly on institutional and primary data for its analysis.
The study employed the Phillips and Sul log-t convergence test to analyse the degree of convergence for the Niger Basin region (NBR) countries in terms of per capita carbon emission and food availability.
Volume 17 (2022)
Kenya has become a driving force of trade integration at the regional and continental level, albeit this process is still incomplete.
Variability in climate and debility in soil fertility affect agrarian production, especially in sub-Saharan Africa, and thus threaten food security. This has prompted the seed sector to introduce various varieties of climate-smart maize in Kenya and release them in the market. In contrast, there is little experiential insight into how the adoption of these varieties by small-scale farmers affects their household income.
The syndication of loans is an innovative financing model that has emerged in the financial landscape to help lenders spread risk and share opportunities. This study examines the relationship between syndicated loans and cocoa production in Ghana, using annual time-series data spanning from 1993 to 2020, as well as the autoregressive distributed lag model (ARDL).