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Lenis Saweda

Michigan State University, Department of Agricultural, Food, and Resource Economics

Saweda Liverpool-Tasie is a tenured associate professor in the department of Agricultural, Food, and Resource Economics. She received her PhD in Agriculture and Consumer Economics from the University of Illinois, Urbana-Champaign. She holds an MSc in Urban and Regional Planning and an MA in Third World Development, both from the University of Iowa. She also holds a BSc. (Honors) in Economics from the University of Jos, Nigeria. Her current research focuses on emergent issues related to smallholder productivity and welfare within dynamic and transforming food markets in sub Saharan Africa and alongside poorly functioning markets in the region. Furthermore, she has a keen interest in understanding input use and input markets as well as evaluating input policies.
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publication
Climate Risk and Technology Adoption in the Midstream of Crop Value Chains: Evidence from Nigerian Maize Traders

Climate induced events exacerbate food production and distribution risks, posing a threat to global food security. Though many studies focus on farmer adaptation to climate change, there are few studies of actors in the middle of agricultural value chains such as traders, logistics providers, and processors. The activities of these actors, referred to as the ‘hidden middle’, are key determinants of the prices received by farmers and the price and quality of food products for consumers. We explore how climate events and risk perceptions affect the adoption of value‐adding and damage control strategies among maize traders in Nigeria, Africa’s largest economy and most populous country. We find consistent evidence that climate events and climate risk perception discourage the adoption of value‐adding practices including storage. This potentially affects the availability and price of maize for consumers (household and industry) in the lean season. However, once traders store maize, climate risk does not affect the adoption of damage control, but training and social networks do. These findings suggest that actors in the midstream of food value chains are responding to climate change and more attention needs to be paid to these actors to maintain the availability of affordable and safe maize products throughout the year. There is also a need for strategies to reduce the risks of trading activities due to climate change.

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publication
A scoping review of market links between value chain actors and small-scale producers in developing regions

Sustainable Development Goal 2 aims to end hunger, achieve food and nutrition security and promote sustainable agriculture by 2030. This requires that small-scale producers be included in, and benefit from, the rapid growth and transformation under way in food systems. Small-scale producers interact with various actors when they link with markets, including product traders, logistics firms, processors and retailers. The literature has explored primarily how large firms interact with farmers through formal contracts and resource provision arrangements. Although important, contracts constitute a very small share of smallholder market interactions. There has been little exploration of whether non-contract interactions between small farmers and both small- and large-scale value chain actors have affected small farmers’ livelihoods. This scoping review covers 202 studies on that topic. We find that non-contract interactions, de facto mostly with small and medium enterprises, benefit small-scale producers via similar mechanisms that the literature has previously credited to large firms. Small and medium enterprises, not just large enterprises, address idiosyncratic market failures and asset shortfalls of small-scale producers by providing them, through informal arrangements, with complementary services such as input provision, credit, information and logistics. Providing these services directly supports Sustainable Development Goal 2 by improving farmer welfare through technology adoption and greater productivity.

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publication
Youth and Adult Agrifood System Employment in Developing Regions: Rural (Peri-urban to Hinterland) vs. Urban

Using a unique dataset covering 178,794 households with 460,654 individuals spanning Africa, Asia, and Latin America, we explore employment of youths across rural zones (peri-urban, intermediate, hinterland) and urban areas. Using full-time equivalents (FTEs), we compare own-farming versus farm-wage labour, and nonfarm wage- and self-employment. Nonfarm includes: (a) agrifood system (AFS) jobs post-farmgate, in food processing, wholesale, logistics, retail, and food service; (b) non-AFS. Key findings are noted in order by Africa, Asia, and Latin America (whose youth employment rates are 61%, 39%, and 48%). (1) AFS shares in FTEs of employed rural youths are substantial (21%, 21%, and 23%). Wage employment share of AFS is lower in Africa (25%) versus Asia and Latin America (75%). (2) Own-farming in FTEs of employed rural youths are higher in Africa (51%, 19%, and 12%). The share for adults in Africa is 36%. Regressions show youths’ being in school does not reduce employment in own-farming (they are compatible), but reduces nonfarm labour. (3) Farm-wage employment shares in FTEs are small (4%, 13%, and 16%). (4) Regressions show that rural youths’ being in a peri-urban area sharply increases AFS and non-AFS employment compared with hinterland youths who depend more on own-farming.

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Rapid transformation of food systems in developing regions: Highlighting the role of agricultural research & innovations

Developing regions' food system has transformed rapidly in the past several decades. The food system is the dendritic cluster of R&D value chains, and the value chains linking input suppliers to farmers, and farmers upstream to wholesalers and processors midstream, to retailers then consumers downstream. We analyze the transformation in terms of these value chains' structure and conduct, and the effects of changes in those on its performance in terms of impacts on consumers and farmers, as well as the efficiency of and waste in the overall chain. We highlight the role of, and implications for agricultural research, viewed broadly as farm technology as well as research pertaining to all aspects of input and output value chains.

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publication
Social Learning and Farm Technology in Ethiopia: Impacts by Technology, Network Type, and Poverty Status

Improved farm technologies in Ethiopia display high levels of promise and low rates of adoption. This article studies the impact of social networks on technology adoption focusing on social learning through networks based on physical proximity and those based on intentional relationships. Impacts by network type, technology, and asset poverty status are explored. Social learning is more evident for households not in persistent poverty, for more complex technologies, and within networks based on intentional relationships rather than proximity. Results indicate that technology diffusion in Ethiopia is likely to be enhanced if extension can target intentional networks, rather than spatial clusters.

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