7 pages, Agricultural extension is the medium through which external agricultural technologies have been transferred to and transplanted in Africa to improve agricultural performance. Over a period of close to a century, different agricultural extension models have been proposed but their structure and content has virtually been the same: top-down, linear, non-participatory transfer of technology with no feedback loops for reverse diffusion. This presumably explains the poor performance of Africa’s agriculture and the scale of food security challenges facing the continent. In this review paper, we trace the history of agricultural extension and examine various agricultural extension delivery models to identify their major strengths and weaknesses, using Ghana and Burkina Faso as case studies. We then review the most recent literature in the field about the philosophy, scope, content, delivery, and outcomes of agricultural extension. The conclusion that agricultural extension has consistently remained out of sync with the needs and aspirations of stallholder farmers was reached. Smallholder farmers are now calling for new agricultural extension delivery models that are truly farmer-led, indigenous knowledge-based, context-specific, culturally-relevant and environmentally-sustainable to guarantee efficient farming systems into the future.
Saweda O. Liverpool-Tasie, Lenis (author), Salim Nuhu, Ahmed (author), Awokuse, Titus (author), Jayne, Thomas (author), Muyanga, Milu (author), Aromolaran, Adebayo (author), and Adelaja, Adesoji (author)
Format:
Journal article
Publication Date:
2022-04-19
Published:
United States: Wiley Online
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12576
27pgs, In spite of mounting evidence about the growth of medium-scale farms (MSFs) across Africa, there is limited empirical evidence on their impact on neighbouring small-scale farms (SSFs). We examine the relationships between MSFs and SSFs, with particular focus on the specific mechanisms driving potential spillover effects. First, we develop a theoretical model explaining two propagating mechanisms: learning effects (training) and cost effects (reduced transactions cost). An empirical application to data from Nigeria shows that SSFs with training from MSFs tend to use higher levels of modern inputs (have higher productivity), and receive higher prices and income. The results also show that purchasing inputs from MSFs reduces the costs of accessing modern inputs and is associated with higher inorganic fertiliser use by SSFs. Our results suggest that the benefits of receiving training and purchasing inputs from MSFs are particularly important for very small-scale producers, operating less than 1 hectare of land. This implies that policies which promote the efficient operation of MSFs and encourage their interaction with SSFs can be an effective mechanism for improving the productivity and welfare of smallholder farms, hence reducing their vulnerability to extreme poverty.
22 pages, In this paper, we investigate the link between windfall gains and losses of income associated with commodity exports and economic performance in a panel of 45 sub-Saharan African (SSA) countries over the period from 1990 to 2019. Windfall gains and losses of income are measured in terms of fluctuations in a country-specific commodity terms of trade (CTOT) index in which each commodity is weighted by the ratio of exports of that commodity in the country’s gross domestic product (GDP). The CTOT index therefore reflects the commodity export specialisation for individual countries. The data on CTOT are taken from the International Monetary Fund. Additionally, we use changes in real GDP per capita as our SSA economic performance measure. We employ a random coefficient model that yields individual estimates for each of the countries included in the analysis. Our approach is based on the assumption that the effect of windfall gains and losses on real GDP per capita growth varies across different SSA countries. Our main conclusion can be elaborated as follows: first, natural resources have undoubtedly contributed to higher economic growth in SSA countries since 1990. Second, when SSA countries are analytically divided into two groups depending on their commodity export specialisation, we find that resource-rich countries—in particular oil rich—are the best economic growth performers during the observation period. Finally, we find that windfall gains from commodity exports are not significantly associated with increased real GDP per capita growth in most agriculture-exporting countries.