One of the greatest global challenges today is ensuring widespread availability and equitable access to affordable, nutritious foods produced in an environmentally sustainable manner. A rich literature exists around the definition of a healthy diet and the drivers of dietary change. We contribute to this literature by proposing a new quantifiable diet deprivation measure estimated from standard household consumption and expenditure surveys. The Reference Diet Deprivation (ReDD) index measures the incidence, breadth, and depth of diet deprivation across multiple, essential food groups in a single indicator. Although useful as a standalone measure, we show how ReDD can be integrated into an economywide model to examine changes in household diet quality under different simulation scenarios. Using Nigeria as case study, hypothetical agricultural productivity growth scenarios reveal that dairy, pulses, fruit, and red meat value chains have the greatest potential to reduce overall diet deprivation in Nigeria per unit of GDP growth generated, while productivity growth in more widely consumed crops such as cereals and root crops do little to improve diet quality. These findings have implications for the prioritization of agricultural development initiatives aimed at improving the quality of diets. More generally, the integration of a diet quality indicator in an economywide model allows for a deeper understanding of the drivers of dietary change.

Malnutrition, largely attributable to poor diets among both the rich and poor, presents a growing challenge in Nigeria. This brief considers the obstacles to food security and better nutrition, particularly the country’s macroeconomic instability, widespread poverty, and the need for greater investment and policy coherence to support dietary diversity. The authors describe how a policy shift to focus on consumer needs can transform the agrifood system to deliver healthier and more affordable diets for all Nigerians, as well as better and more secure rural livelihoods.

This analysis is composed of two parts. The evolving structure of Kenya’s agrifood system (AFS) and its contribution to national development is assessed using a series of Social Accounting Matrixes (SAMs) for Kenya for the period 2009–2019. Economic performance is also assessed at subsector level to better understand the contributions of different agrifood value chains to Kenya’s development and economic transformation in recent years. The analysis reveals that the effects of AFS transformation stretches well beyond primary agriculture, creating jobs and income opportunities throughout the economy. In fact, the off-farm components of the AFS have grown more rapidly than primary agriculture, although differences in market structure and internationally tradable status contributed to varied patterns of growth across value chains. The analysis further reveals that it is the domestic market, not exports, that has driven the recent growth in Kenya’s AFS. Rapid urbanization and increased income generating opportunities in the rural nonfarm sector are causing dietary patterns to shift, which will continue to shape the transformation of the AFS in Kenya. A forward-looking analysis using IFPRI’s Rural Investment and Policy Analysis (RIAPA) model – an economywide modeling framework – assesses the potential impacts of future value chain growth on development outcome indicators. The findings reveal that value chains differ considerably in their effectiveness in achieving various development outcomes. Promoting only one value chain may also result in trade-offs across these development goals. For example, the coffee and tea value chains are highly effective at raising off-farm employment in the AFS, but they have weak impacts on diet quality. Likewise, cattle and dairy have strong off-farm GDP effects within the AFS, but are relatively ineffective at reducing poverty. By promoting and investing in several value chains simultaneously, policymakers can leverage synergies and mitigate trade-offs across development outcomes associated with specific value chains. The RIAPA analysis here suggests that joint promotion of the pulses and oilseeds, fruits and nuts, and cattle and dairy value chains will be most effective at impacting the full spectrum of development outcomes tracked in the model, including poverty, growth, jobs, and diets. However, the final value chain selection may change depending on the importance policymakers attach to the respective development outcomes.

The new Kenyan government faces a complex domestic and global environment, and it is widely expected to address key food and agricultural challenges with a new set of policies and programs. This policy brief presents key recommendations from a forthcoming book, Food Systems Transformation in Kenya: Lessons from the Past and Policy Options for the Future, which provides research-based “food for thought and action” to support the Kenyan government’s efforts to improve food security.

This study utilizes a recursive dynamic general equilibrium model calibrated with data for Tanzania to explore the link between agricultural and rural development spending and four development outcomes: economic growth, job creation, poverty reduction, and diet quality. Results show that no single expenditure option is the most effective in achieving all four desired development outcomes for Tanzania. Productivity-enhancing agricultural interventions in horticulture are effective at generating growth in the agri-food system (AFS) and improving diets, but have a limited effect on employment. Supporting cereal producers has large effects on growth and poverty reduction, with relatively high returns per dollar invested, but its effect on diet quality is weak. Providing livestock services to milk and poultry farmers consistently ranks high across the outcome indicators, with strong employment effects on downstream AFS. Crop research and development and feeder roads generate moderate impacts on all four outcomes. Partially reallocating the budget towards the most cost-effective spending options can substantially increase the development effectiveness for Tanzania of agriculture sector support expenditures. The approach adopted in this study can help policymakers design and prioritize agricultural interventions and expenditure portfolios that better reflect the country’s broad food system.

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.

Poor-quality diets are one of the leading causes of malnutrition and common non-communicable disease. In this study, we use nationally representative household survey data and food demand system estimations to analyze dietary change and changing consumer preferences for different foods in the context of urbanization in low- and middle-income countries. We estimate and compare income and price elasticities of total food demand and the demand for 15 food groups in rural, urban, and city areas of Bangladesh for 2010 and 2016. We then use Oaxaca-Blinder decomposition regressions to explore how much of the observed food consumption changes can be explained by changes in revealed consumer preferences vis-à-vis changes in household income and food prices. The results show that Bangladeshi diets shifted from coarse to refined rice, and consumer preferences for vegetables and pulses were relatively low, contributing to worsening dietary quality. On the other hand, the consumption of nutritious, animal-source foods including fish, poultry, and eggs increased due to high consumer preferences and declining food prices-partly thanks to governmental production support. Regarding the dietary implications of rapid urbanization, the analysis suggests that rural consumers’ diets will largely follow the trajectory of urban consumers in Bangladesh.