Ethiopia stands out as one of the fastest growing African countries between 2009 and 2019, with an average annual GDP growth rate close to 10 percent (ESS 2020). The global COVID-19 pandemic coupled with an armed civil conflict that started in November 2020 and continued for two years caused a significant slowdown in economic growth during the 2020–2022 period. Ethiopia’s GDP growth is now projected to recover to 5.3 percent in 2023 and 6.1 percent in 2024 (World Bank 2023), remaining well below the growth rates achieved in the pre-pandemic era. Agriculture remains an important sector in Ethiopia, accounting for one-third of GDP and two-thirds of jobs. The agriculture sector, like the broader economy, performed well prior to the pandemic and civil conflict, averaging 5.5 percent growth from 2009 to 2019 (ESS 2020), and played an important role in weathering the global commodity market shocks during 2022–2023 (Diao and Thurlow 2023). In this brief, we look beyond primary agriculture to understand how Ethiopia’s broader agrifood system (AFS) is contributing to growth and transformation in the country.

This paper assesses the structure of Rwanda’s current and evolving agrifood system and its contribu-tion to national development. The paper reiterates the point that Rwanda’s agrifood system stretches well beyond primary agriculture and creates jobs and income opportunities throughout the economy. While off-farm components of Rwanda’s agrifood system have generally grown more rapidly than pri-mary agriculture in recent years, growth varies across value chains of the agrifood system in the stud-ied period. The growth diagnostic in this paper reveals that it is domestic markets that have driven the recent growth in Rwanda’s AFS other than exports. The paper’s forward-looking analysis assesses potentially differential impacts of value-chain develop-ment efforts on broad development outcomes. The analysis measures the synergies and trade-offs of value-chain development in the context of an inclusive agricultural transformation. Such analysis is conducted using the Rwanda Computable General Equilibrium (CGE) model – an adaption of IFPRI’s Rural Investment and Policy Analysis (RIAPA) model to the Rwandan context. The modeling results indicate that value chains differ considerably in their effectiveness in achieving development goals and there are significant trade-offs among different development goals from pro-moting a specific value chain. The value chains that make a larger contribution to growth or job crea-tion are not necessarily effective in reducing poverty or improving dietary quality – for example, value chains for coffee and tea – while value chains that play an important role in improving dietary quality may contribute less to job creation – such as vegetables or fruits. While there is no single value chain that can achieve all development goals effectively, it is possible to select a diversified set of value chains that complement each other in achieving different development goals. This latter strategy is a more realistic approach to growth and development.

Rwanda has made remarkable economic progress during the past two decades, and its annual GDP growth rate reached more than 7 percent during the 2009 to 2019 period (NISR 2021). The rapid economic growth has been pro-poor, and the poverty rate fell from 58.9 percent in 2000/01 to 38.2 percent in 2016/17 (NISR 2018). The country has also emerged as a leader among sub-Saharan African countries in promoting innovation, gender equality, and an enabling business environment for development. The government remains strongly committed to a set of ambitious development goals, as set forth in the 2017–2024 National Strategy for Transformation (NST 1) and the corresponding sector-level strategic plans. While the global COVID-19 pandemic had a severe adverse effect on the economy, causing negative GDP growth in 2020, the country rebounded quickly and registered more than 10 percent growth in 2021 (NISR 2022). The country was only minimally affected by global commodity market disruptions resulting from the Russia-Ukraine war that started in 2022 and the global recession in 2023 (Arndt et al. 2023; Diao and Thurlow 2023). Looking forward, Rwanda’s GDP growth is projected to reach 6.7 percent in 2023 and 7.0 percent in 2024 (World Bank 2023), suggesting the economy is returning to its pre-pandemic high-growth trajectory.

In the transformation of agri-food systems in developing countries, we usually see rapid changes in the livestock sector. However, good data for clearly understanding this transformation are often lacking, especially so in Africa. Relying on a combination of diverse large-scale datasets and methods, we analyze transformation patterns in the dairy value chain supplying Addis Ababa, the capital and biggest city of Ethiopia. Over the last decade, we note a rapid increase in expenditures on dairy products by urban consumers, especially among the better-off. Relatedly, the number of dairy processing firms in Ethiopia tripled over the same period, supplying a significant part of these dairy products, especially pasteurized milk, to the city’s residents. The number of dairy traders increased rapidly as well, with competition between them becoming more intense over time. Upstream at the production level, we find improved access to livestock services, higher adoption of cross-bred cows, a shift from grazing to commercial feeds, an increase in milk yields, expanding liquid milk markets, a sizable urban farm sector supplying almost one-third of all liquid milk consumed in the city, and an upscaling process with larger commercial dairy farms becoming more prevalent. However, average milk yields are still low and not all dairy farmers are included in this transformation process. Small farms with dairy animals as well as those in more remote areas benefit less from access to services and adopt less these modern practices. For these more disadvantaged farmers, stagnation in milk yields and even declines – depending on the data source used – are observed.

Ethiopia has experienced impressive agricultural growth and poverty reduction, stemming in part from substantial public investments in agriculture. Yet, the agriculture sector now faces increasing land and water constraints along with other challenges to growth. Ethiopia’s Agrifood System: Past Trends, Present Challenges, and Future Scenarios presents a forward-looking analysis of Ethiopia’s agrifood system in the context of a rapidly changing economy. Growth in the agriculture sector remains essential to continued poverty reduction in Ethiopia and will depend on sustained investment in the agrifood system, especially private sector investment. Many of the policies for a successful agricultural and rural development strategy for Ethiopia are relevant for other African countries, as well. Ethiopia’s Agrifood System should be a valuable resource for policymakers, development specialists, and others concerned with economic development in Africa south of the Sahara.

Nutrition-sensitive agricultural diversification continues to receive interest among developing country stakeholders as a viable option for achieving dual goals of poverty reduction and food/nutrition security improvements. Assessing the effectiveness of this strategy is also essential in countries like Tajikistan. We attempt to enrich the evidence base in this regard. We assess the linkages between household-level agricultural diversification and dietary diversity (both household- and individual-levels) using unique panel samples of households and individual women of reproductive ages in the Khatlon province. Using difference-in-difference propensity-score methods and panel fixed-effects instrumental variable regressions, we show that higher agricultural diversification together with greater overall production per worker and land at the household level leads to higher dietary diversity, particularly in areas with poor food market access. Typology analyses and crop-specific analyses suggest that vegetables, fruits, legumes/nuts/seeds, dairy products and eggs are particularly important commodities for which a farmer’s own production contributes to dietary diversity improvement. Furthermore, decomposition exercises within the subsistence farming framework suggest that nutritional returns and costs of agricultural diversification vary across households, and expected nutritional returns may be partly driving the adoption of agricultural diversification. In other words, households’ decisions to diversify agriculture may be partly driven by potential nutritional benefits associated with enhanced direct on-farm access to diverse food items rather than farm income growth alone. Our findings underscore the importance of supporting household farm diversification in Tajikistan to support improved nutrition intake, especially among those living in remote areas. In a low-income setting with limited local employment opportunities that is vulnerable to a wide range of external shocks, this will likely continue to be one of the most straightforward and realistic paths to improving household’s nutrition resilience.