Publications

Evaluating large-scale government investments in fertilizer adoption: The Ethiopian experience

We evaluate the impact of a large Government of Ethiopia intervention to raise fertilizer supply by establishing five fertilizer blending facilities supplying fertilizers tailored to local soil nutrient profiles. We rely on the phased geographic rollout of blending facility establishment to identify the causal effect on fertilizer use, application rates, crop yields, gross crop revenue, and household consumption. Combining effects of multiple treatment periods, each estimated using a doubly robust difference-in-difference model, we find that the blending facilities increased the probability that farmers adopt the new blended fertilizers by 22 percentage points and increased application rates by 17 kg/ha (baseline adoption was zero). The facilities mostly induced farmers who previously used DAP to switch to NPS, and we find large decreases in DAP adoption (by 22 percentage points, 47% of the control group base mean) and application rates (16 kg/ha, 52% of the control group base mean) yet no impact on overall fertilizer adoption or application rates. Though the new blended fertilizers were expected to perform better, there is no evidence they improved crop yields, crop gross revenue, or household consumption. The effect of the intervention was more pronounced (with larger increases in NPS use and larger decreases in DAP use) for farms located near demonstration plots, which the Government used to train farmers about the agronomic response to the new fertilizers. We confirm results using three large-scale longitudinal datasets and show that they are robust to choices of specification, treatment definition, and inference assumptions.

JEL classification: O12, O13, Q16, Q18

Changes in height-for-age of Egyptian children from 1995 to 2014: Implications for improving child health outcomes

Background
Stunting is a serious health problem in Egypt. Stunting rates and height-for-age z-score (HAZ) distributions changed notably in Egypt over time, yet the factors that led to these changes remain unknown. This study examines the factors associated with these changes and provides important considerations for designing interventions to achieve the Sustainable Development Goal (SDG) of ending all forms of malnutrition by 2030.

Methods
Leveraging data from Egypt’s Demographic and Health Survey for the years 1995, 2003, and 2014, we employ a Recentered Influence Function (RIF) approach that goes beyond the conventional way of measuring stunting as a binary indicator to examine changes across the entire HAZ distribution. The RIF decomposes changes in the HAZ distribution over time into differences attributable to changes in the levels of the determinants of nutrition (covariate effects) and in the strength of the association between these determinants and HAZ (coefficient effects).

Results
The stylized facts show a puzzling increase in stunting rates despite improvements in the level of the determinants of nutrition. Our RIF results attribute the change in stunting rates and other parts of the HAZ distribution primarily to changes in the association between the determinants of nutrition and HAZ (coefficient effects) rather than in the level of the determinants (covariate effects). The results also show that the determinants of nutrition could have heterogeneous impacts at different quantiles of the HAZ distribution.

Conclusion
To reduce stunting rates and achieve the SDG of ending malnutrition, our findings highlight the need for targeted interventions. Interventions should be geographically targeted, promote gender and income equality, improve maternal nutrition, and expand access to better sanitation facilities. This is in addition to wealth redistribution and reforming Egypt’s subsidy program to focus on nutritious food.

Representation increases women’s influence in climate deliberations: Evidence from community-managed forests in Malawi

Women’s inclusion is now the norm in global and local initiatives to combat climate change. We examine how women’s representation affects climate deliberations using the case of community-managed forests in Malawi. We run a lab-in-the-field experiment randomly varying the gender composition of six-member groups asked to deliberate on policies to combat local overharvesting. We find that any given woman has relatively more influence in group deliberations when women make up a larger share of the group, a change driven by men’s assessments of women’s influence. Women’s presence also shifts the content of deliberations toward prospective solutions for which women have socially recognized expertise (cooking and replanting). Despite these changes, women and men do not prefer different deforestation policies, and women’s presence does not meaningfully affect group decisions. Our work demonstrates how women’s presence shapes climate deliberations but also calls into question claims that women’s inclusion will necessarily affect climate decisions.

Rural land rental markets in developing countries: Can survey design innovations improve land market participation statistics?

A longstanding puzzle in the African land rental market literature is the often-observed discrepancy between the number of tenants (renters-in) and the much smaller number of landlords (renters-out) in survey data. If this discrepancy derives from systematic biases in survey data responses on rental market participation, then the existing body of survey-based empirical work on land rental markets impacts may be fundamentally flawed. To examine this issue, we implemented two survey experiments. First, we tested the hypothesis that some categories of rented land are underreported because enumerators and respondents focus primarily on parcels directly managed or cultivated by the household. A random subset of respondents received a priming nudge reminding them to account for all land, including rented- or sharecropped-in and rented- or sharecropped-out parcels. Second, we tested whether households underreport rented- or sharecropped-out land due to reluctance to disclose activities that may carry social or institutional repercussions, using a double-list experiment to infer true rates of participation. Interestingly, our results indicate a significant underreporting of both renting-in and renting-out land but arising through different mechanisms. The priming nudge increased reports of renting-/sharecropping-in by 4 percentage points (equivalent to 13% of landlords in the sample) but had negligible effects on reported renting-/sharecropping-out. By contrast, the list experiment suggests that the true share of renting-out households is about 15%: much higher than the 3% in parcel-roster responses. These results underscore the need for improved survey methods to accurately observe land rental market participation and evaluate its impact.

Innovation environment and entrepreneurial intentions among undergraduate students in Nigeria: The moderating role of entrepreneurial education

Basis risk, social comparison, perceptions of fairness, and demand for insurance: A field experiment in Ethiopia

Index insurance lowers agricultural risk but covers only covariate risks. Since farmers do not have complete insurance, they may develop mistrust of insurance when experiencing crop losses and not receiving payouts. Although recent innovations in remote sensing enable the provision of more complete insurance including coverage for idiosyncratic risks, such insurance introduces differences in payouts within social networks, which might be considered unfair, introduce jealousy, and depress insurance demand. We conduct a lab-in-the-field experiment with farmers in Ethiopia to examine whether providing complete insurance coverage affects perceived fairness and insurance demand. We also examine effects of informing farmers about neighbors’ payout experiences. We find that such social comparison increases perceived fairness of index insurance. Providing complete crop insurance increases perceived fairness of outcomes and willingness to pay for insurance, without introducing jealousy over neighbors receiving different payouts. These results are concentrated among men and those with little insurance knowledge.

Network effects in household consumption patterns: Evidence from northern Ghana

We study peer effects in consumption patterns and their associated welfare implications among rural farm households in northern Ghana using a panel data set. We construct a social interaction network based on household-specific locations and employ a spatial econometric approach that leverages the structure of the peer networks to identify peer effects. The results indicate that peers’ consumption patterns significantly influence individual consumption decisions, with the magnitude of this effect varying across farm households depending on their resource endowments. We also find that information exchange and partial risk-sharing behaviors drive these peer effects. Overall, our findings suggest that government interventions aimed at enhancing household consumption through transfers would be more effective if targeted at households with relatively large peer networks. In addition, anti-poverty and income-improvement programs can leverage peer networks to enhance their overall impact.

Buyers’ response to third-party quality certification: Theory and evidence from Ethiopian wheat traders

When quality attributes of a product are not directly observable, third-party certification (TPC) enables buyers to distinguish between quality levels and reward sellers accordingly. We study the adoption of TPC by traders in smallholder-based agricultural value chains in low-income countries, where traders aggregate products from many small-scale producers before selling in bulk to downstream processors. In this context, the introduction of TPC services has oftentimes failed. We develop a theoretical model identifying how different market conditions affect traders’ choice to purchase certified output from farmers. Next, using a novel lab-in-the-field experiment with Ethiopian wheat traders, we examine the model’s predictions. Traders’ willingness to specialize in certified output increases with the share of certified wheat in the market, and this effect is stronger in larger markets. However, we find that traders do not optimally respond to variation in the quality of uncertified wheat in the market. We also analyze conditions where traders deviate from optimal behavior and discuss implications for research and policy making to promote TPC in smallholder-based value-chains.

JEL Codes: Q13; D22; O13; C93

The economic costs of bribes and road harassment by officials in ECOWAS

War and resilience: The multifaceted impacts of Sudan’s conflict and pathways to recovery

The synopsis is being made available in advance of an anticipated 2026 launch of the full book.

Dietary intake and nutrient adequacies among women of reproductive age in northern Tanzania: A cross-sectional study

Background
Dietary inadequacies among women of reproductive age (WRA) increase malnutrition and disease risk.

Objectives
We characterized food group and nutrient inadequacies among WRA in rural Tanzania.

Methods
Baseline data (collected October 2023–January 2024) from a cluster-randomized controlled trial in Arusha and Kilimanjaro regions were analyzed. Dietary intake among WRA (n = 2594) was assessed using a 24-h dietary recall with the OpenDRS approach. This was repeated in a subsample (n = 520, 20%) to adjust for day-to-day variations in individual intake. The National Cancer Institute method was employed to estimate usual energy and nutrient intakes. Micronutrient adequacy was defined as intake greater than or equal to the harmonized average requirements (H-ARs). The mean probability of adequacy (MPA) was calculated as the average adequacy across 11 micronutrients.

Results
On average, women were 38.3 ± 6.2 y old; 19% were lactating, and 4% were pregnant. The mean daily energy intake was 2415 kcal/d [95% confidence interval (CI): 1937, 2895], with carbohydrates contributing 62% to daily energy intake. The mean intake of fruit and vegetables (F&V) was 279 g/d (95% CI: 201, 365), of which fruit was 35 g/d (95% CI: 2, 118) and vegetables 245 g/d (95% CI: 168, 328). Staples contributed half of the daily energy intake. About 1% of participants met calcium and vitamin B12 requirements, whereas 42%, 49%, 68%, and 72% met adequacy for vitamin C, folate, zinc, and iron, respectively. Most women met the H-ARs for riboflavin, niacin, thiamine, vitamin B6, and vitamin A. MPA was 65 (±2.3% standard error), with vegetables, pulses, animal-source foods (ASF), and staples being key micronutrient sources.

Conclusions
Substantial nutrient inadequacies exist among WRA in rural Northern Tanzania due to high cereal intake and low intake of F&V and ASF. Addressing these gaps requires targeted interventions, improved dietary diversity, increased intake of F&V and ASF, and enhanced food security through local production and social safety nets.

Effect of combining lower- and higher-value monthly cash transfers with nutrition-sensitive agriculture, male engagement and psychosocial intervention on maternal depressive symptoms in rural Malawi: A secondary analysis of a cluster-randomised controlled trial

Maternal depression affects one in five women in Malawi. Integrated interventions simultaneously addressing multiple risks are a promising strategy to improve mental health. This study evaluated the impact of a nutrition-sensitive social behaviour change (SBC) intervention (agriculture and livelihoods, male engagement and Caring for the Caregiver) with or without cash transfers on maternal perinatal depression during the lean season in rural Malawi. A midline survey for a cluster-randomised controlled trial was conducted, where 156 clusters were randomly assigned to four arms (39 clusters/arm): (1) standard of care (SoC), (2) SBC, (3) SBC+low cash (US$17 per month) and (4) SBC+high cash (US$43 per month). Pregnant women and mothers of children <2 years of age (n=2677) were enrolled at baseline (May–June 2022). A subsample of 1303 women was followed-up at midline (November–December 2023). Maternal perinatal depression was assessed using the Self-Reporting Questionnaire with a score of ≥8 indicating symptoms consistent with depression. Intervention effects were estimated using linear mixed effects models. At midline, SBC+high cash reduced depression scores relative to SoC (mean difference −1.13 (95% CI −1.96 to –0.31)) but had no impact on the proportion of women with depressive symptoms. Relative to SoC, SBC+low cash and SBC alone had no impact on depression scores or the proportion of women with depressive symptoms. Relative to SBC alone, adding cash to SBC reduced depression scores and the proportion of women with depressive symptoms regardless of the size of the cash transfer. Cash transfers integrated with SBC can benefit maternal perinatal mental health in rural Malawi during the lean season.

Digital health interventions in strengthening primary healthcare systems in Sub-Saharan Africa: Insights from Ethiopia, Ghana, and Zimbabwe

Digital Health Interventions (DHIs) refer to discrete technological functionalities designed to achieve specific objectives in addressing health system challenges. These interventions are considered tools for strengthening health systems, particularly in low- and middle-income countries. This study consolidates findings from Ethiopia, Ghana, and Zimbabwe, examining how three distinct digital health applications with varying intervention components implemented in primary healthcare settings contribute to health system strengthening. The interventions analyzed include Ethiopia’s District Health Information System 2 (DHIS2), Ghana’s District Health Information Management System (DHIMS) and the Lightwave Health Information Management System (LHIMS), and Zimbabwe’s Impilo Electronic Health Record (E-HR) system. In Ethiopia, DHIS2 enhanced health system accountability and data quality by streamlining district-level data aggregation, reporting, and performance monitoring. This led to more informed decision-making and improved resource distribution. In Ghana, DHIMSs functions as a public health-level DHI, facilitating national data-driven performance monitoring, while LHIMS operates at the patient level, supporting patient tracking and management, improving patient workflows and resource tracking. However, a lack of interoperability between these two systems has led to data duplication challenges. Zimbabwe’s Impilo E-HR, a patient-level DHI, has streamlined clinical workflows, improved information sharing, and enhanced decision-making at the point of care. Despite these successes, challenges persist across the three contexts: infrastructure limitations, high staff turnover, and insufficient user technical capacity. Interoperability issues, particularly in Ghana and Ethiopia, hinder seamless data exchange, while sustainability concerns such as funding gaps and inadequate government support undermine the systems’ full potential. The study findings demonstrate that investments in DHIs in primary healthcare may not result in health systems strengthening without addressing baseline conditions for their implementation and sustainability.

The effect of using indigenous and scientific forecasts on arable farmers’ crop yields: Evidence from Rwenzori region, western Uganda

What are the economic and poverty implications for Sudan if the conflict continues through 2025?

The ongoing conflict in Sudan, which began in April 2023, has triggered severe economic contractions, exacerbating poverty and unemployment while disrupting key sectors of the economy. This study employs an updated economywide database to assess the economic impact of a continued conflict through the end of 2025 under two scenarios of extreme and moderate contractions in the overall GDP. Our findings indicate that by the end of 2025, Sudan’s GDP would decline by 42% under the extreme scenario and 32% under the moderate scenario. The agrifood system would be particularly affected, with its GDP contracting by 33.6% and employment halving under the extreme scenario. Household incomes decline across all quintiles, with rural populations and women experiencing the sharpest losses. The national poverty rate is projected to rise by 19 percentage points under the extreme scenario, further deepening socioeconomic vulnerabilities. To mitigate the widespread adverse impacts of the conflict on the Sudanese economy, policies and interventions should prioritize the restoration of economic productivity, support the agrifood system and employment recovery strategies, and ensure that social protection measures are accessible to all households facing increased deprivation.

Exploring relationship pathways to prevent intimate partner violence among young women in Malawi

International estimates of intimate partner violence (IPV) among adolescents and young women are high, indicating the need to address IPV prevention early in life. Structural economic interventions, such as household cash transfer programmes, have the potential to improve the wellbeing of youth who are not the direct recipients of the transfers themselves. However, few studies have addressed this topic in terms of youth romantic and/or sexual relationships. We conducted 39 in-depth interviews with young women aged 19-29 years in households participating in the Government of Malawi’s Social Cash Transfer Programme (SCTP) to examine relationship formation, IPV triggers and experiences, and help-seeking behaviours. We found that young women did not directly attribute SCTP effects to their intimate relationships or IPV experiences. Threats to masculinity and transgressions of women’s gender norms were key triggers of IPV, but specific triggers were linked to specific types of IPV. Furthermore, women sought help for non-IPV concerns more than IPV-related issues. Our results reveal there is a need to strengthen cash transfer programmes and layer them with tailored interventions for adolescents and young women in participant households to improve relationships and prevent IPV early in life.

Modeling crop-livestock interactions in semi-subsistence economies

Climate and weather shocks pose significant threats to crop and livestock systems, leading to economic losses and humanitarian crises. Utilizing a modeling framework that innovatively integrates the crop and livestock production systems in semi-subsistence economies, this study examines the interactions and dynamic adjustments within these systems following weather shocks, using Ethiopia as a case study. We also evaluate the effectiveness of various adaptation strategies in sustaining farm incomes, food security, and welfare. Results show unique effects on the crop and livestock sectors resulting from a joint shock on the two systems. While food crops experience a strong and immediate growth effect (12.4%) that fades quickly, the livestock sector faces the full impact of the shock a year later (13.7%), with the effect persisting to some degree. We also find diverging economic and livestock system adjustment trajectories from separate shocks to the crop and livestock systems. Further, the intervention options analyzed show contrasting impacts on various outcome indicators, with only the resilient crop intervention causing sector-indifferent impacts. Our findings emphasize the importance of proactive measures to enhance the resilience of crop-livestock systems, with implications for policy and practice aimed at safeguarding food security and livelihoods in semi-subsistence economies.

JEL Classification: C68, Q18, Q54, I32, O55

Associations between exposure to nutrition, WASH interventions and children’s academic performance in Ethiopia: A systematic review and meta-analysis

Background

Poor nutrition and inadequate WASH (water, sanitation, and hygiene) practices significantly impact children’s health, nutrition, and cognitive development, especially in low-income settings. These factors further aggravate the incidence of undernutrition, weaken the immune system, increase susceptibility to illnesses and reduce cognitive performance. Evidence on the effectiveness of existing WASH interventions is needed.

Objective

This review evaluated the effectiveness of nutritional and WASH interventions on the academic performance of children in Ethiopia.

Methods

A systematic search of Cochrane, DOAJ, Google Scholar, and PubMed (2010–2024) was conducted using MeSH terms and keywords related to WASH. Two independent reviewers screened studies and extracted data. Eligible studies included cross-sectional and cohort studies on Ethiopian schoolchildren with quantifiable academic outcomes. The JBI SUMARI was used to assess bias, and the GRADE approach was used to evaluate evidence quality. The meta-analysis used a random-effects model in Stata and reported pooled RRs with 95% CIs. Subgroup and sensitivity analyses examined moderators such as study design, intervention type, and sample size.

Results

A total of 19 studies, 16 cross-sectional (n= 16) and three prospective (n= 3) cohort studies with a total of 9034 participants, were included. The random effects model revealed a significant improvement in academic performance among students receiving both nutrition and WASH, with a pooled large positive effect size of 2.05 (95% CI: 1.26, 2.28; I2=). In the subgroup meta-analysis, the effect of the intervention was more positive among those who skipped breakfast (3.47, 95% CI: 0.47, 6.47), chronic iodine deficiency (4.49, 95% CI: 4.08, 4.90), food insecurity (2.810, 95% CI: 1.281, 4.339), and underweight (0.61, 95% CI: 0.46, 0.75).

Conclusion

Despite moderate variability and some risk of bias, the evidence supports the integration of comprehensive nutrition and WASH programs into school health initiatives. Future research should focus on long-term effects and cost-effectiveness.

Vouchers to increase fruit affordability in Nigeria and Vietnam

Although fruits are an important part of healthy diets, they are relatively expensive, so most individuals consume less than recommended. We use a randomized control trial to study a voucher program designed to improve the affordability of fruits in peri-urban and urban settings in Vietnam and Nigeria, and analyze whether vouchers can increase fruit consumption. The trial took place in 2021 among 601 households in Vietnam and 611 households in Nigeria. Vouchers were distributed between March and July in Vietnam and between June and November in Nigeria. In both contexts, a large majority of consumers who received vouchers used them. Following project conclusion, we find suggestive evidence of sustained increased fruit consumption only in Vietnam. In Nigeria, vouchers increased consumption of certain fruit categories during program implementation, but we find no evidence of sustained impacts. Fruit consumption is higher across the board in Vietnam, and the sample is wealthier overall, suggesting fruit affordability may not be a binding constraint for consumption. In Nigeria, the increase in consumption during the program along with a post-project decline suggest a lack of household resources to sustain consumption once the project concluded. The results suggest vouchers can improve consumption of healthy foods like fruits, but other actions are needed to make them more affordable in the longer term.

Armed conflict and climate-induced weather disruptions in agricultural input use: Evidence From Ethiopia

Validity of the Diet Quality Questionnaire Compared with Observed Intake for Estimating Population-Level Diet Quality in Rwandan Adults

Background
The diet quality questionnaire (DQQ) is a standardized low-burden tool for collecting data on minimum dietary diversity for women (MDD-W) and other population-level diet quality indicators related to risk of noncommunicable disease (NCD). Although 24-h recalls (24hRs) are often used for evaluating validity of DQQ, they may underestimate consumption of specific food groups. Therefore, comparison with observed weighed food records (OWFR), can provide a more accurate assessment of DQQ criterion validity.
Objective
The aim of this study is to evaluate criterion validity of DQQ for estimating population-level diet quality using OWFR and 24hR as reference methods.
Methods
Cross-sectional data were collected among 281 Rwandan adults (Musanze district), using OWFR, DQQ, and 24hR on the same day. Diet quality indicators derived from each method were compared using parametric and nonparametric methods and the method of triads, which calculates pairwise validity coefficients to evaluate accuracy (low: <0.30; moderate: 0.30–0.70; high >0.70).
Results
Mean percent agreement in food group consumption data was high: 93% (DQQ-OWFR; DQQ-24hR). Compared with OWFR, DQQ overestimated MDD-W-prevalence [DQQ: 46.0% compared with OWFR: 40.4%; +6 percentage points (pp), P > 0.05], whereas using 24hR, the MDD-W-prevalence was 29.8% (16.2 pp < DQQ, P < 0.05, and 10.6 pp < OWFR, P < 0.05). Compared with OWFR, mean scores of food group diversity score (FGDS) and NCD-protect were 0.2 (ns) and 0.2 (P = 0.01) points higher by DQQ, respectively, and 0.4 (P < 0.001) points higher by DQQ compared with 24hR. NCD-risk median scores were 0 across methods. For DQQ, validity coefficients were 0.70 (FGDS), 0.67 (NCD-protect), and 0.66 (NCD-risk), compared with 0.93, 0.89, and 0.59 for OWFR, respectively, and 0.84, 0.83, and 0.98 for 24hR, respectively. Conclusions The DQQ showed high agreement with OWFR and 24hR for collecting population-level food group consumption data, and slight overestimations of diet quality indicator scores compared with observed intakes. DQQ is a valid and practical method for collecting population-level food group consumption data and estimating diet quality.

Unpacking the effects of conflict on fertilizer use and maize yields: Empirical evidence From Nigeria

Conventional recommendations emphasize increasing the use of inorganic fertilizer to enhance maize yields in African countries south of the Sahara, but it is not clear how smallholders’ exposure to violent conflicts affect demand, yield responses, and the profitability of fertilizers. Our study tackles this question. We analyze how maize yield responds to fertilizer use and assess the profitability of fertilizer use in conflict-affected settings. We then investigate how conflict impacts the profitability of fertilizer, given that armed conflicts are likely to increase input costs, logistical difficulties, and market uncertainties. Our study reveals that yield responses to nitrogen are very low in Nigeria. We also show that exposure to conflict reduces input use rates and decreases the marginal physical productivity of nitrogen in maize production, making investment in fertilizer less profitable. Recognizing this effect of conflict on input use and maize yield response is crucial for targeting and resource allocation decisions among smallholders in similar conflict-affected regions. Moreover, the effect of conflict highlights how external factors, beyond the scope of agronomic practices, influence the economic incentives for fertilizer application and the resulting yield outcomes.

Youth in relation to agroecology: practices, promises, and perceptions in five countries

In the context of rising youth populations in many low- and middle-income countries, coupled with high youth unemployment and aging farmer populations, this paper asks in what ways agroecology, as a sustainable alternative to the conventional agricultural practices and paradigm, attracts youth to farming and rural-based livelihoods. We draw on empirical data from semi-structured interviews and photovoice conducted with young women and men in five countries: Kenya, India, Peru, Tunisia, and Zimbabwe. In our discussion, we highlight which dimensions and aspects of agroecology resonate with youth and why.

Imperfect competition and asymmetric welfare effects of global price and productivity shocks: a CGE model analysis for Senegal

This article investigates the asymmetric effects of global price and productivity shocks on welfare in the context of imperfect competition. The primary objective is to understand how market concentration affects the transmission of economic shocks and their impacts on various households. A CGE model, calibrated on a 2014 social accounting matrix for Senegal, is used. The model features a trading sector operating under a Cournot oligopoly with increasing returns to scale. Two scenarios are simulated: a 15% increase in global import prices and a 10% increase in agricultural productivity, each considering different levels of market concentration. The findings reveal that higher global import prices reduce household well-being, a situation exacerbated by low market competition. In contrast, agricultural productivity gains enhance well-being, with these benefits amplified by greater competition. However, the wealthiest households in Dakar benefit from low competition due to their positions in oligopolistic companies. To maximize household well-being, economic policies should focus on strengthening market competition, particularly in the trading sector. Actions such as reducing entry barriers for new businesses and regulating anti-competitive practices can help mitigate the adverse effects of global price increases and amplify the benefits of agricultural productivity gains.

Understanding spatial heterogeneity of hidden hunger in Senegal

Using household consumption data collected in 2017/18, this paper analyzes patterns of urban and rural food consumption in Senegal. We adopt two methodological approaches: an in-depth (spatial) profiling of current diets and corresponding nutrient intakes and an application of the Quadratic Almost Ideal Demand System (QUAIDS). Our findings indicate that Senegal is a typical case of micronutrient deficiency, especially regarding calcium, iron, and vitamin B12. Due to their higher income status and better food access, urban dwellers on average have a more diversified diet with higher nutrient intakes compared to their rural counterparts, especially regarding calcium, vitamin B12, and vitamin A. While the country’s food system in general is unable to assure a nutritious diet for all, the most remote rural departments in Senegal, such as Saraya and Podor, display the highest nutrient deficiencies and therefore should be targeted with priority. Apart from geographical targeting and given their higher responsiveness to price and income changes, policies based on food pricing and income transfers should be implemented to ensure a minimal nutrient intake among the most food-insecure households. These policies could be further complemented with behavioral change campaigns to promote an alternative set of nutrient-rich and cost-effective food items.

Rural livelihoods under prolonged conflict: Evidence from a panel household survey in Sudan

This report presents evidence from the Sudan Rural Household Survey of 2023 and 2024, a two-wave panel survey that assesses how rural households are navigating prolonged conflict. By tracking the same households over time, the survey provides longitudinal insights into livelihoods, food security, access to markets and productive resources, and exposure to shocks across an insecure and rapidly evolving context. The findings from the survey data analysis point to an uneven pattern of economic adjustment by households rather than sustained recovery. Rural households are actively adapting through changes in livelihood strategies, income diversification, and increased participation of household members in income-generating activities. Compared to 2023, fewer households reported in 2024 having no employment. Engagement in salaried work and agriculture also rose. Despite these shifts, income losses remain widespread. Only a small share of households reported improved earnings in 2024, indicating that adaptation is largely driven by necessity rather than durable recovery. Food consumption outcomes improved markedly between survey waves, with substantial declines in the share of households in 2024 reporting poor or borderline diets. At the same time, experience-based measures show that food insecurity remains pervasive, with more than half of rural households facing moderate or severe food insecurity. There has been little change in the prevalence of severe food insecurity. The continuing food insecurity challenges underscore the fragility of recent gains and the continued vulnerability of many households.

Climate-smart agriculture and development practices in Egypt: Report on a policy seminar event

This policy note summarizes presentations and discussion shared during the workshop held in Cairo on May 25th 2025, as part of the Bridging Evidence and Policy (BEP) seminar series, a collaborative initiative by the Egyptian Food Bank (EFB), the International Food Policy Research Institute (IFPRI), and the Sawiris Foundation for Social Development (SFSD) which brings together researchers, policymakers, and development practitioners.

Essential commodities prices, availability, and market actors’ perceptions: November 2025

Sudan’s markets in November 2025 showed continued, albeit uneven, stabilization. Prices of most essential commodities remained broadly stable, supported by seasonal harvest effects and improved availability. Wheat prices increased modestly due to slightly lower availability, while sorghum prices remained low and stable. Prices of lentils and rice were largely unchanged, pigeon pea prices declined, and vegetable prices showed mixed trends with improvements in onion availability and quality. Oilseeds, sugar, cooking oil, and fava bean prices were generally stable or declining, despite persistent inter-state disparities. Meat prices continued to rise for lamb and beef, while chicken prices stabilized and milk prices declined.

Fuel prices stabilized following earlier volatility, with improved availability in regular markets, though parallel market prices remained high. Fertilizer prices were stable, but perceived availability declined. Exchange rate pressures persisted, marked by a widening gap between official and parallel rates. Market functioning improved, with fewer merchants reporting supply chain, financial, and liquidity constraints, and minimal challenges related to storage, power, labor, and market safety. Profitability stabilized, tax and fee payments increased further, and most merchants expect to maintain current trading levels, signaling cautious but stable market outlooks.

Measuring norms and beliefs about gender-based violence among adolescent girls and young women in rural Senegal: Psychometric validation in a novel population and setting

Intimate partner violence (IPV) and non-partner sexual violence (NPSV) are forms of gender-based violence (GBV) and contribute to a range of poor mental and physical health outcomes (Beydoun et al., 2012; Dillon et al., 2013; Flor et al., 2025). Among ever-partnered women aged 15 and older in the Africa region, 33% report physical and/or sexual IPV in their lifetime and 19% in the past year (Sardinha et al., 2022). In addition, the lifetime prevalence of NPSV among woman aged 15 to 49 years is 6% in sub-Saharan Africa (Sardinha et al., 2024). Norms (i.e., the societal expectations and rules that dictate acceptable behavior in a given context) that consider GBV acceptable in its various forms perpetuate GBV by reinforcing its acceptability. Among interventions that aim to reduce the prevalence of GBV, many aim to do so, at least in part, by changing both norms and beliefs about GBV (Leight et al., 2023; Ullman et al., 2025). Validated scales for measuring these outcomes are limited, but important for understanding factors that contribute to changes in norms and beliefs.

Intrahousehold preferences for humanitarian assistance—Who prefers what: Evidence from internally displaced households in Sudan

Understanding the preferences of beneficiaries for what form of humanitarian aid they receive is critical for improving the effectiveness of such aid in conflict-affected settings that are characterized by rapidly changing markets and information asymmetries. This paper examines intrahousehold differences in preferences for in-kind, cash, and hybrid assistance among internally displaced households in Sudan, with particular attention to gender, decision-making power, and agency differences. While cash remains the most preferred modality, about half of the respondents reported favoring in-kind or hybrid assistance options. On average, women report a 7-percentage point higher preference for in-kind transfers than men, but with some variation across states. Preferences are strongly shaped by intrahousehold decision-making—spouses, particularly women, who control decisions over the use of aid are more likely to prefer cash, while those with less agency in such decisions favor in-kind assistance. We also find suggestive evidence that limited market access and self-control constraints are associated with a higher preference for in-kind transfers. These findings highlight the importance of agency and intrahousehold dynamics in shaping aid modality preferences and offer practical insights for designing more equitable humanitarian and social protection interventions in contexts with significant population displacement.

Step by step to higher yields? Adoption and impacts of a sequenced training approach for climate-smart coffee production in Uganda

Climate change further exacerbates sustainability challenges in coffee cultivation. Addressing these requires effective delivery mechanisms for sustainable farming practices, particularly in smallholder contexts. We assess a novel public-private extension approach in Uganda, called Stepwise, comprising a sequence of climate-smart and good agricultural practices in four incremental steps. Using a mixed-method approach, an index that captures adoption intensity rather than binary uptake, and survey data from 915 Robusta and Arabica coffee farmers, we find adoption levels around 46% and relatively uniform amongst treated, spillover and comparison farmers. Regional variations suggest differing benefits across coffee varieties. Qualitative findings identify barriers to adoption, including financial and labour constraints, suboptimal training delivery, and input and output market imperfections. Despite relatively low uptake, adoption of more than half of the Stepwise practices is associated with substantial gains: inverse probability weighted regression adjustment reveals a 23% increase in yield and a 32% increase in revenue. Our findings add to the adoption literature, which often highlights limited uptake, and have important policy implications. Strengthening producer organizations, delivering targeted training but also innovative solutions for access to inputs and fair pricing, hold considerable potential to increase the adoption of climate-smart practices, particularly among resource-constrained farmers.

Are food policies empowering women? Framework, measurement, and empirical evidence from India and Nigeria

The Sustainable Development Goals (SDGs) emphasize equal participation and empowerment of women in all levels of decisionmaking, yet frameworks and tools to measure and strengthen women’s empowerment in policy spaces remain limited. Focusing on agrifood systems, this paper introduces a framework, metrics, and scoring method to track women’s empowerment in policy processes (WEAGov) and presents findings from pilot applications in India and Nigeria. The pilots draw on novel surveys with more than 200 agrifood organizations and policy experts across the public sector, private sector, civil society, and research communities in both countries. Across both countries, we find that agrifood policy documents incorporate gender priorities on paper but fall short in budgeting, implementation, and evaluation. Prevailing social attitudes and limited awareness of policies, regulations, and legal rights remain major constraints on women’s ability to engage meaningfully in policy processes. Women participate as staff and mid-level managers in agrifood organizations, but their representation at higher decision-making levels are limited. Expert assessments also highlight disconnects between formal roles and the actual influence women can exert over policy decisions. Gender-responsive budgeting processes are absent in Nigeria and weakly-institutionalized in India, where compliance has become procedural rather than transformative. These patterns reveal persistent bottlenecks in translating gender commitments into practice. By systematically tracking barriers and identifying entry points for reform, the WEAGov framework offers governments, researchers, and civil society organizations a practical tool to diagnose gaps in women’s empowerment in agrifood policy processes and to strengthen their inclusiveness and accountability.

See it grow: A randomized evaluation of a digital innovation to improve crop insurance contract design

Insurance has great potential to increase productive investments, but agricultural insurance markets remain thin, in part because asymmetric information limits the viability of indemnity-based contracts. This paper evaluates a digital innovation—picture-based insurance (PBI)—that uses smartphone images of insured crops to indemnify crop damage. Through a cluster randomized trial in seven counties in Kenya, we compare subsidized PBI to subsidized weather index-based insurance (WBI) and to a control group offered unsubsidized WBI. We find that moving from index-based to indemnity-based insurance substantially increases take-up, particularly among women and farmers in drought-prone areas, indicating that innovations in contract design can broaden coverage in inclusive ways. Insurance coverage significantly increases fertilizer use in both treatments, confirming that uninsured risk constrains agricultural investment. However, despite higher take-up, PBI increases total fertilizer use as much as WBI. Using a Heckman selection model to correct for endogenous adoption, we show that this is not only due to incentive effects but also to multidimensional selection: PBI attracts farmers who, in the absence of insurance, would have invested less in fertilizer. After adjusting for this compositional change, differences in fertilizer use per farmer enrolled in WBI and PBI are not statistically significant. We conclude that higher take-up rates of digital indemnity-based insurance may not automatically translate into proportionally larger farm investments, but since increased coverage is concentrated among the relatively more vulnerable, it may contribute to complementary objectives such as inclusivity, equity, and resilience. Contract design and targeting, therefore, remain central to effective insurance product development.

Building MSME innovative capacity for healthier food supply: Learning from three MSME support mechanisms in Ethiopia

Micro, small, and medium enterprises (MSMEs) constitute the vast majority of firms operating in the food system, particularly so in LMICs (Reardon et al., 2021). In sub-Saharan Africa (SSA), MSMEs are strongly involved in each stage of the food value chain; at the retail stage, between 70% and 100% of food is sold by MSMEs (Demmler, 2020). Harnessing the potential of food related MSMEs and informal businesses is suggested as one of the pathways to improve the availability, accessibility, and affordability of healthy foods, especially for lower income consumers (IFAD, 2021). This is because MSMEs have the potential to, among others, produce differentiated products that are highly local and traditional; adapt to high transaction costs; and innovate and offer complementary services such as inputs, information and logistics to small-scale producers in informal arrangements (Reardon et al., 2021; Liverpool-Tasie et al. 2020). Further, MSMEs are often located closer to the consumer, in villages and street markets, and can facilitate increased consumption of healthy foods while also contributing to the reduction of food loss and waste by engaging in food processing and other activities (Mekonnen et al., 2022). A study in Tanzania found that the proximity of informal vegetable vendors to a household was associated with a higher likelihood of vegetable purchases and lower consumption of carbohydrates (Ambikapathi et al., 2021). Another study in Kenya found strong associations between longer travel times to markets and lower diet quality for both vendors and consumers (Demmler et al., 2025). It is believed that MSMEs, often being close to consumers, can be agents of change for increasing consumption of healthy foods, if they possess sufficient innovative capacity.

SAA’s extension model: Scaling sustainable farming in Nigeria

In Nigeria, scaling agricultural innovations faces a major enabling environment challenge. This includes weak national extension systems, low extension officers-farmer ratios (1:1,800–1:3,000) and ineffective input-output market linkages, limiting technology adoption, and value addition for smallholders. The Sasakawa Africa Association (SAA) addressed this through its Value-Chain Based Extension (VCBE) Models, including Commodity Association Trader-Trainers and post-harvest centers, fostering public-private partnerships to build capacity, improve group dynamics, and create aggregation hubs. This innovative extension model has mobilized agricultural produce valued at approximately USD 3.9 million and delivered significant impact for smallholder farmers. The approach has doubled maize yields—from traditional levels of 2,438 kg/ha to 4,823 kg/ha—while enhancing incomes for more than 455,200 farmers. These outcomes are strengthening both food security and economic resilience across participating communities.

Bridging gender gaps in political participation: Experimental evidence on group-based trainings from Nigeria

Women’s political participation remains persistently lower than men’s worldwide. While barriers to women’s civic engagement are well documented, there is limited causal evidence on how to effectively close gender gaps in participation. This study evaluates whether a group-based training intervention can enhance women’s engagement in local governance. In a randomized controlled trial across 300 communities in rural southwest Nigeria, we recruited 3,900 politically unaffiliated women into newly formed women’s action committees (WACs). Control WACs received a single civic education training, while treatment WACs received five additional trainings aimed at strengthening women’s collective efficacy over the course of six months. Leveraging baseline (May–July 2023) and endline (January—February 2024) surveys alongside behavioral data from a community grants competition, we find that the intervention significantly increased both the level and quality of women’s political participation. Treated communities also exhibited greater responsiveness by local leaders to women’s needs and priorities. These findings show that group-based interventions can meaningfully and scalably narrow gender gaps in civic participation.

Breadwinner role and economic decision-making: Experimental evidence from Kenya

In several countries and settings, especially in low- and middle-income countries, men are expected to act as primary economic providers for their households, bearing the psychological and social burdens associated with this role. Despite its potential consequences, the effects of the breadwinner role on economic decision-making are understudied, particularly among poor households. This study investigates how gendered breadwinner expectations shape economic behavior in rural Kenya. Using a lab-in-the-field experiment among 400 smallholder farmers in Vihiga County, we test how psychological and social pressures associated with being the breadwinner of the family influence decision-making in both individual work choices and collective decisions. Participants completed a real-effort task choosing either a high-effort, high-reward option or a low-effort, low-reward alternative, followed by a public goods game framed around communal seed bank contributions. Results reveal that the heightened strain of the main breadwinner led male participants to reduce contributions to the communal seed bank by 0.2 standard deviations, while it did not affect their productivity in the real-effort task. These behavioral shifts suggest that the psychological consequences of breadwinner strain can undermine cooperation and the adoption of sustainable agriculture practices. Addressing the pressures of breadwinning can foster both economic resilience and social cohesion.

Impact assessments of gender transformative interventions in Tanzania: Pre-analysis plan

Transforming gender norms improves women’s wellbeing and may help close the agricultural productivity gap, yet evidence on pairing them with agriculture interventions is limited. We will test an innovative approach to developing and delivering gender transformative interventions with cassava producers in Tanzania. Using a cluster-randomized controlled trial, we examine the impact of these gender transformative interventions paired with standard agricultural service, compared to agricultural services alone, on the primary (gender norms, decision making, and women’s leadership) and secondary (agricultural productivity, women’s savings, and women’s access to land) outcomes. Qualitative methods will examine changes in intra-couple dynamics (communication, decision making, and division of labor).

Diet & nutrition profile: Tanzania

Poor nutrition, suboptimal diets, and low fruit and vegetable (F&V) intake are key preventable risk factors for non-communicable diseases (NCDs) globally. From 2022 to 2024, the CGIAR Research Initiative on Fruit and Vegetables for Sustainable Healthy Diets (FRESH) designed and began implementation of an end-to-end approach to increase F&V intake and improve diet quality, nutrition, and health, while also enhancing livelihoods, empowering women and youth, and mitigating environmental impacts. Now under the CGIAR Science Program on Better Diets and Nutrition (BDN), implementation of the FRESH approach continues with the aim of addressing barriers to the desirability, affordability, accessibility, and availability of diverse, safe, and sustainable F&V in low- and middle-income countries (LMICs). Tanzania is one of the four original priority countries implementing this end-to-end approach to increase intake of F&V and other perishable nutrient-rich foods.

The aim of this brief is to describe the nutrition and diet landscape in Tanzania and highlight relevant programs, strategies and policies.

Inflation and diets among poor mothers in Egypt

Global food price increases and widespread inflationary shocks negatively affect poor households’ diets, particularly those of women who are more likely to be food insecure compared to men. This study evaluates the relationship between changes in food prices triggered by the Russia-Ukraine war in February 2022 and poor mothers’ diets in Egypt, a country that heavily relies on imports of staple foods and is highly vulnerable to increases in international food prices. We combine food group specific governorate-level consumer price index (CPI) data with data on diets of 2,868 poor mothers in Egypt collected before and after the onset of the war. Additionally, we examine the potential protective effect of Egypt’s large-scale food subsidy program, Tamween, whereby specific foods are sold at subsidized prices at specific retailers. Using two-way fixed effects models, we find that changes in food prices are significantly associated with changes in the composition of mothers’ diets. Mothers were less likely to consume dairy and fish and more likely to consume pulses and sweetened beverages after the war began. Poor mothers decreased consumption of unsubsidized foods, suggesting a protective role of the Egyptian food subsidy program. This paper also provides suggestive evidence that poor mothers from households engaged in agricultural production could be slightly less responsive to changes in food prices compared to mothers from households that do not engage in agricultural production.

Targeting of food aid programs: Evidence from Egypt

In-kind food aid programs remain prominent world-wide. Targeting in these programs is complex due to potential distortions in consumption. This paper advances the literature by moving beyond poverty-based targeting to address nutritional objectives. Using data from a randomized controlled trial (RCT), we apply machine learning (ML) techniques to analyze heterogeneity in impacts across nutritional outcomes, aiming to inform targeting based on observable characteristics. We find that such characteristics significantly predict heterogeneity in treatment effects, though relevant predictors differ by outcome and treatment type. Building on recent literature advocating for balancing of deprivation and expected impact, we show that, in our context, the trade-off between targeting the most impacted versus the most deprived households is limited. Instead, the main challenge is prioritizing among competing nutritional objectives. Our findings indicate that ML methods can inform outcome-specific targeting criteria, though these criteria vary across outcomes and are imperfectly correlated.

Small and medium enterprise development for climate adaptation and an inclusive food system in Egypt

Rural households in many low- and middle-income countries remain highly dependent on agriculture and related value chain activities, making them particularly vulnerable to the impacts of climate change. As rising temperatures and increasing climate variability reduce agricultural productivity and income stability, small and medium enterprises (SMEs) are increasingly promoted as a path toward rural development and the transformation of the agrifood systems (AFS). Yet, little is known about whether climate change influences rural households’ decision to start an enterprise to diversify or switch their income sources away from agriculture-related activities in order to adapt to weather risks. We address this research gap by drawing from nationally representative data from the Egypt Labor Market Panel Survey 2023 and estimating a dynamic duration model to explore how heat stress is linked to households’ likelihood to start a (nonfarm) SME. Our findings offer new evidence for climate-responsive rural policy and SME support strategies in vulnerable regions.

The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes: Baseline Survey

This dataset contains baseline survey data from 2,141 youth and their households collected as part of a randomized controlled trial (RCT) titled The Effects of a Secondary School Scholarship on School Progression and Youth Outcomes in rural Ethiopia. The study evaluates whether providing secondary school scholarships to youth from extremely poor households in remote, food-insecure kebeles improves school enrollment and progression and affects a range of non-academic outcomes.

The baseline survey captures pre-intervention information on household demographics, education and schooling status, work and time use, socioeconomic conditions, food security, life skills, future expectations, mental health and psychosocial well-being, and COVID-19-related experiences. These data provide a comprehensive profile of youth and household conditions prior to program implementation and serve as the foundation for subsequent impact evaluation analyses. The dataset is intended to support research on education, youth development, poverty, and social protection and can be used for replication, secondary analysis, and policy-oriented research.

Economic Inclusion Program Cohort 2 in Kenya: Baseline Household Survey

This dataset consists of household-level data collected through a baseline survey conducted between April and May 2024 for the Impact Evaluation of the Economic Inclusion Programme (EIP), Cohort 2, in Kenya. The survey covers 3,251 households across four counties, Kisumu, Makueni, Muranga, and Taita Taveta, and was implemented by the Kenyan survey firm REMIT.

The EIP intervention package comprises four components: (i) monthly consumption support, (ii) asset grants to support income-generating activities, (iii) skills training paired with weekly mentoring, and (iv) the establishment of Village Savings and Loan Associations (VSLAs). The evaluation follows a cluster-randomized controlled trial (cRCT) design, in which villages were randomly assigned to treatment and control groups in a 2:1 ratio, with randomization stratified at the sub-county level.

The baseline household survey captures data on demographics, consumption and income, assets, financial inclusion, enterprise activities, food security, mental health, gender equity, social cohesion, and exposure to social protection programs. These data provide a detailed snapshot of household conditions prior to program implementation and enable rigorous impact evaluation, replication, and secondary research on economic inclusion, social protection, and poverty reduction in Kenya.

Incentives, administrative capture and preference aggregation in community-based targeting

Community-based targeting (CBT), which leverages community leaders to identify eligible beneficiaries, is widely used in social protection programs and development interventions, especially in data-scarce settings. Yet, little is known about how these leaders respond to opportunities for potential resource leakages and elite capture, and whether such behavior is moderated by budget constraints or the level of discretion given to leaders. Similarly, how community leaders involved in CBT aggregate individual preferences into collective decisions remains understudied. We conduct a cluster-randomized experiment in 180 Ethiopian villages to study the effects of incentive structures and discretion on administrative capture—defined as funds retained under the disguise of covering “administrative” costs. Local leaders were tasked with allocating real or hypothetical transfer budgets, with discretion to retain up to 10 percent as “administrative costs”. To uncover decision-making and preference aggregation within CBT committees, we elicited these decisions (proposals to retain a portion of the budget) individually as well as collectively. We find that financial incentives significantly increase administrative (elite) capture, and that capture increases with budget size. Group decisions yield higher appropriation than individual proposals, suggesting implicit collusion rather than prosocial restraint in group-based decisions. Moreover, when real stakes are at play, group outcomes are disproportionately shaped by extreme (outlier) preferences, whereas in hypothetical settings without actual transfers, popular preferences dominate. These findings highlight behavioral mechanisms underlying collective decision-making and administrative capture in CBT, which can inform the design of more accountable CBT systems.

Measuring food fortification coverage in household surveys: Formative research findings from Bangladesh and Ethiopia

Background
Large-scale food fortification (LSFF) is a cost-effective approach used in most countries to address widespread micronutrient deficiencies. Understanding who consumes fortified foods is challenging as these foods are often undetectable by design. The objective of this work was to refine survey items used to measure LSFF coverage for their potential use in routine multitopic household surveys.

Methods
In Bangladesh and Ethiopia, we interviewed shop vendors (n=108), program officers (n=28), and women beneficiaries of safety net programs (n=67). Shop observations assessed availability, type, brand, and fortification labeling for food vehicles (oil, wheat flour, salt, and rice). Key informant interviews were used to understand practices related to food acquisition/use and fortification knowledge. Cognitive interviewing techniques were used to refine questions from the Fortification Assessment Coverage Toolkit (FACT), with follow-up prompts to identify comprehension, retrieval, judgment, and response errors.

Results
Market observations revealed many types and brands of food vehicles, especially of rice in Bangladesh (35 types, 220 brands). Nearly all oil and salt, but not wheat flour in both countries or rice in Bangladesh were labeled as fortified. Program officers and women had limited knowledge about fortified foods. The concept of brand was not well understood, and women often could not remember the brand they last purchased. Modifications to the FACT survey items reduced cognitive errors. A set of four questions can capture household coverage of food vehicle and fortifiable food vehicle use.

Conclusions
Correct phrasing of key concepts as understood by respondents is essential to producing reliable estimates of LSFF coverage. In the absence of cheap, field-friendly technologies to test food samples, and given limited identifiable features of fortified foods, estimating coverage of fortification programs in household surveys remains challenging but worthy of further investigation.

Internal displacement and the promotion of bundled agricultural technologies: Evidence from a fragile setting in Nigeria

Fragile regions within Nigeria face multiple, overlapping challenges including climate volatility, violent conflict, widespread displacement, and persistent malnutrition. These pressures can constrain agricultural production and compromise household welfare, particularly for internally displaced households, who face depleted assets and repeated exposure to shocks. Within the context of Nigeria, addressing these constraints requires interventions that improve access to agricultural technologies and strengthen food systems. This brief summarizes experimental evidence from Gombe State, Nigeria, where we implemented an intervention promoting the adoption of a bundle of agricultural technologies.

The intervention specifically disentangled the effects of price discounts and information campaigns on bundle adoption. We collected data on the use of each of the bundle components as well as the implementation of agronomic practices recommended for achieving agricultural intensification benefits, enabling us to document adoption beyond the initial purchase of the bundle in a detailed way. The bundle—which includes biofortified seeds, fertilizers, crop protection products, and weather-risk insurance—was designed to generate an intensification response among farmers and address micronutrient deficiencies among adopting households. In principle, biofortified crops—such as vitamin A maize and high-iron millet—offer a dual benefit: improved crop productivity and improved access to nutritious foods. While Nigerian agricultural policies encourage biofortification, sustained adoption remains limited, and existing studies overwhelmingly focus on peaceful and stable settings. We aim to addresses existing knowledge gaps by implementing a randomized control trial in Gombe State, Nigeria—a fragile and conflict-affected setting with a relatively large displaced population.

Existing evidence shows that bundled input packages, rather than interventions promoting a single agricultural input, can generate productivity gains associated with agricultural intensification. Adoption is often hindered by liquidity constraints, perceived risk, and weak extension systems. Moreover, displaced households can face additional barriers due to asset loss and insecure land tenure. This motivates us to specifically investigate whether displaced households respond differently to our intervention than households from the host population.

The impact of a nutrition-sensitive graduation model program on child nutrition: Experimental evidence from Ethiopia

Multifaceted graduation models are a promising strategy to sustainably reduce poverty, yet evidence on their effects on child undernutrition remains limited. This randomized controlled trial evaluated a nutrition-sensitive graduation model combining village economic and savings associations, peer-led behavior change communication, and maternal cash transfers (and for a subset, lump-sum livelihoods transfers) implemented among ultra-poor households in rural Ethiopia. The model without maternal cash transfers improved maternal nutrition knowledge and financial inclusion but did not generate meaningful changes in children’s diets or growth. Supplementing the pro-gram with maternal cash transfers produced at least moderate improvements in child diet quality, early childhood development, household consumption, and assets. The largest improvements in child growth occurred among households receiving both the livelihoods grant and maternal cash transfers. Overall, the results suggest that coupling behavior change communication and livelihoods support with sufficient financial support is critical for achieving meaningful progress in both economic well-being and child nutrition.

Synopsis: The changing demographics in Nigeria’s food systems and implications for future youth engagement

Food systems (FS) are critically important in sub-Sahara Africa (SSA), where they account for a significant share of the GDP and employment. FS transformation is both strongly influenced by and strongly influences employment and job creation. This study documents FS employment in the past two decades observed in Nigeria, focusing on changes in demographic structure and inclusiveness. Key findings of the study are:

FS in Nigeria are poised for significant transformation driven by demographic shifts, urbanization, income growth, and a favorable policy environment, while the conflict adversely affects this transformation. Agricultural employment declined significantly during the period, while the share of nonfarm agrifood sectors in total employment almost tripled, signaling major structural transformation. Employment in food manufacturing expanded rapidly, albeit from a lower base, with women’s share among the fastest growing. Women’s share in nonfarm agrifood system (AFS) employment tripled over the period, while youth participation quadrupled. However, Nigeria’s youth face persistent barriers. Youth unemployment is double the national rate and their labor force participation is considerably below the average rate. The nonfarm AFS employment share in Nigeria far exceeds the continental average, positioning Nigeria ahead in AFS transformation. Policy recommendations from the study include providing targeted youth training and financing for nonfarm AFS roles; closing gender gaps through resource access and supportive regulations; investing in marketing infrastructure; prioritizing recovery and job programs in conflict zones; and adopting a holistic FS approach that also engenders the active involvement of women and youth.

Climate–agriculture–gender inequality hotspots: Insights for Nigeria

Climate change intensifies risks in Nigeria’s agri-food systems, disproportionately affecting women due to social inequalities that increase their vulnerability and limit their adaptive capacity. Hotspot areas are concentrated in northern and north-central Nigeria, notably Bauchi, Benue, Kano, Jigawa, Kebby, Nasarawa, Niger, Sokoto, and Zamfara. Policy actions should prioritize climate-smart agriculture, gender-sensitive climate services, and social protection to improve resilience and equity.

Africa’s agrifood trade: The state of play

The objective of this report is to establish a state of play of African trade by giving the most accurate picture possible and propose a typology of countries in terms of their degree of openness. It is preliminary work, the first in a series of documents, to pave the way for an in-depth analysis of the role of trade and trade policies in achieving food security and improved diets in Africa. The analysis is based on the rigorous exploitation of the best available data on trade in Africa (formal and informal), the use of the best analytical tools (gravity models) as well as recent indicators for measuring regional integration. The report is organized as follows. In the next section we set the scene by presenting an overview of the complex (positive and negative) links between trade, food security and nutrition. We then analyze Africa agrifood trade, examining first international flows, then regional patterns. In the following section we formally test whether Africa is “undertrading” or not. We next establish a typology of countries according to their degree of self-sufficiency and openness. The fifth – and final- section of the report provides some conclusions and recommendations.

When the cure is worse than the disease: Acaricide use, tick resistance, and systemic constraints in Uganda’s dairy sector

The Ugandan dairy sector has expanded rapidly in recent years. However, ticks and tick-borne diseases pose increasing challenges to this progress, exacerbated by the rise in resistance to acaricides, the primary method for tick control. This paper examines the systemic constraints that undermine effective, safe, and sustainable tick control in Uganda’s liberalized dairy system. Drawing on multiple complementary data sources—including household surveys, exit interviews, list experiments, and covert audit methods—we show that the de facto farmer-led model of tick control is characterized by failures in information, coordination challenges, imperfect input markets, and weak regulation. Farmers operate with limited technical knowledge and minimal advisory support, and under extensive grazing systems and frequent inter-herd contact that require coordinated approaches to tick control. Input markets provide access to acaricides, but little guidance on proper use. As a result, misuse and overuse of chemicals are widespread, generating risks for animal and human well-being, food safety, and environmental integrity. Addressing these constraints will require integrated interventions that strengthen extension and regulatory capacity, improve accountability in veterinary input markets, and foster community-level coordination to ensure safe and sustainable tick control.

Closing the regulatory gap: Experimental evidence on oversight and worker incentives

Weak enforcement of regulatory standards is widespread in low- and middle-income countries. Low firm capacity and standards inappropriate to local contexts imply that traditional punitive enforcement approaches may be counterproductive. We test the impact of a regulatory oversight intervention leveraging the soft power of meat inspectors in the context of 140 rural slaughterhouses in western Kenya. The intervention focused meat inspector attention on hygiene practices and was combined with training of workers and provision of basic equipment and supplies. Practices improved significantly relative to control facilities, but microbial contamination of meat did not. Outcomes were similar in a subset of treatment facilities where workers were additionally given a hygiene performance incentive. Higher volume of business in treatment facilities, which customers perceived as cleaner, suggests that retailers value less contaminated meat, but may counteract the effects of improved practices through cross-contamination and crowding.

Insecticide use, farmers’ self-reported health status, and genetically modified cowpea in Nigeria: Findings from a clustered randomized controlled trial with causal

Excessive insecticide use in smallholder agriculture can threaten human health and the environment. We evaluate the effects of receiving a genetically modified cowpea variety that confers resistance to the legume pod borer (Maruca vitrata) using a clustered randomized controlled trial with an encouragement design in Nigeria. We find that farmers who received the pod borer-resistant (PBR) cowpea with complementary inputs significantly reduce insecticide volumes and report fewer days of insecticide-related illness compared to farmers who only received a conventional cowpea variety. Farmers receiving PBR cowpea alone experience smaller, mostly insignificant reductions. To explore heterogeneous responses, we combine ANCOVA (analysis of covariance) interactions with machine learning-based Causal Forest estimates of Conditional Average Treatment Effects (CATEs). Results reveal that smaller, less wealthy, and labor-constrained households experience the largest reductions in insecticide use and health improvements, whereas wealthier farmers or those with higher baseline spraying practices experience lower reductions. Women-managed plots exhibit modestly higher responsiveness. Our findings highlight the importance of moving beyond average effects and seed distribution toward targeted, context-specific interventions that account for behavioral and resource constraints in smallholder farming systems.

Lessons from the Digital Agricultural Advisory Services (DAAS) project in Ethiopia: Dairy use case

Agricultural extension services are a cornerstone of rural development and a vital instrument for policymakers to directly shape economic, social, and environmental outcomes in rural areas. These services aim to enhance farm productivity by promoting the adoption of agricultural technologies, inputs, and management practices. Through outreach, training, knowledge sharing, and learning, extension activities help bridge the gap between research and practice, potentially supporting more resilient and productive farming systems (Davis 2008; Jack 2013).

Community health worker caseloads, home visits, and child survival: Experimental evidence of heterogenous effects from Mali

I examine whether the effectiveness of community health worker (CHW) home visits in reducing under-five mortality varies with the population-to-CHW ratio in rural, fragile, and conflict-affected Mali. Muso, a global health NGO focused on reducing child and maternal mortality, recently signed a data use agreement with IFPRI to enable study of new research questions using data from its recent randomized controlled trial (RCT) of proactive home visits in Mali’s Bankass region. The original trial found that proactive home visits by professional CHWs did not lead to detectable reductions in child mortality relative to fixed-site care, although health infrastructure improvements in both treatment arms likely led to experienced large declines in under-five mortality across all study communities amid ongoing conflict.

In this project note, I study heterogeneous effects of the proactive home visit model by population-to-CHW ratios using nearly census level baseline population data and administrative records on CHW assignment. I test the hypothesis that home visits may operate differently when CHWs face particularly high or low caseloads. In theory, CHWs serving small populations may not be necessary for improving access because travel distances to fixed sites are already short, whereas CHWs serving very large populations may be unable to conduct sufficiently frequent and high-quality home visits. If both mechanisms operate, an optimal population-to-CHW ratio may exist.

Instead, I find evidence that CHW home visits are more effective when the population-to-CHW ratio is high. At 900 people per CHW (about the 90th percentile in the trial data), children in control clusters experience significantly higher mortality risk. This elevated risk, however, is offset in clusters assigned to proactive home visits. Additional checks indicate that this is driven by CHW coverage rather than underlying population size. These findings suggest that proactive home visits may be most beneficial in areas where fixed-site CHWs otherwise face heavy caseloads.

Perceived need and measured well-being: How well do subjective rankings capture relative poverty?

Subjective well-being rankings are increasingly used to target social protection programs, yet their ability to capture relative welfare and wealth remains debated. This study benchmarks self-, peer-, and elite-based poverty rankings against consumption- and wealth-based measures using Ethiopian household survey data, where about 20 households per village were ranked from neediest to least needy by themselves, peers, and community leaders. We assess concordance between subjective and conventional welfare rankings and explore sources of divergence. Subjective rankings align more with relative wealth than consumption and with total rather than per capita welfare, suggesting they overlook household composition. Elite-based rankings best capture conventional measures, followed by peers’ and self-rankings. Subjective rankings also better reflect relative deprivation among households exposed to covariate shocks. A composite index combining all three improves agreement with standard metrics. Information asymmetries, favoritism, and welfare dynamics partly explain discrepancies, offering insights for enhancing targeting in data-scarce settings.

Livelihoods and recovery after Cyclone Idai: Short- and long-run household evidence from Mozambique

Sub-Saharan Africa bears a disproportionate share of global poverty and is also among the regions most vulnerable to natural disasters that pose persistent threats to livelihoods, food security, and long-run development. This study examines how exposure to a major natural disaster—Cyclone Idai, one of the deadliest and costliest disasters in Mozambique’s history—affected household well-being and economic behavior in central Mozambique following its landfall in March 2019. We combine satellite-based best-track data on Cyclone Idai’s trajectory with longitudinal household survey data collected both shortly after the disaster and five to six years later. Specifically, we link predicted maximum wind speed at the community level to a pre-defined sample of households surveyed before the cyclone, allowing us to estimate impacts in the short run (within the same year) and the longer run. This design leverages rich pre-baseline data and province fixed effects to mitigate concerns about selection bias, displacement, and omitted variables that commonly complicate causal inference in disaster impact studies.

We find that greater cyclone exposure is strongly associated with short-run reports of shock experience and asset loss, validating predicted wind speed as a measure of disaster intensity. In the long run, however, households appear to recover from the immediate shock. Cyclone exposure is associated with persistent declines in reliance on agriculture as a primary livelihood and increases in small business activity and formal wage employment. At the same time, we observe mixed effects on asset ownership, with sustained declines in housing ownership alongside increases in durable asset holdings. Future work will continue to highlight how complex and heterogeneous pathways through which large-scale disasters reshape household livelihoods and economic behavior over time.

Lessons from the Digital Agricultural Advisory Services (DAAS) project in Ethiopia: Wheat use case

Agricultural extension services are a cornerstone of rural development and a vital instrument for policymakers to directly shape economic, social, and environmental outcomes in rural areas. These services aim to enhance farm productivity by promoting the adoption of agricultural technologies, inputs, and management practices. Through outreach, training, knowledge sharing, and learning, extension activities help bridge the gap between research and practice, potentially supporting more resilient and productive farming systems (Davis 2008; Jack 2013).

Women’s perceptions of food safety risks and vendor practices in northern Tanzania: a mixed-methods analysis

We know little about how women in Africa perceive and manage food safety risks for fruits and vegetables, and how these perceptions and practices influence their food choices. To investigate this, we employed a sequential mixed-methods analysis using data from 33 villages across the Arusha and Kilimanjaro regions of Northern Tanzania. Quantitative household surveys were conducted with 2,577 women to document their perceptions of food safety risks associated with fresh fruits and vegetables. Additionally, quantitative surveys assessing food safety facilities and practices were conducted in 14 markets and 108 retail outlets. These data informed the creation of food safety scores for women’s risk perceptions and village-level vendor characteristics. We used the scores to analyse their relationship with household-level consumption and expenditure on fruits and vegetables using mixed-effects regression models. Subsequently, ethnographic research involved in-depth exploration with women from three communities to investigate the factors shaping food safety risk perceptions and their connections to household practices and food choices. Our quantitative findings indicated that women’s perceptions of food safety were associated with household-level consumption and expenditure, while vendor safety characteristics were not. The qualitative insights revealed that social relations, community interactions, and trust were pivotal for women in managing food safety risks. Women used these to assess and address food safety risks. Women were also assisted in minimising risk through their roles as producers, sellers, and household managers. Our analysis highlights the importance of understanding consumer perceptions and their socio-cultural contexts in designing interventions that enhance food safety and promote healthier diets.

How can community grants promote gender-inclusive development in fragile settings? Insights from rural Nigeria

Community-driven development (CDD) programs aim to shift decision-making to the local level by empowering communities to prioritize, design, and implement projects that address their most pressing needs. These programs have gained global traction as vehicles for service delivery and empowerment, especially in fragile contexts with weak state capacity. These programs leverage communities’ understanding of local needs and their unique ability to deploy resources in conflict-affected, unstable, or highly remote areas that are operationally hard to reach for traditional development programs. However, evidence remains limited on how to structure CDD programs to ensure inclusive participation from a wide range of community members, particularly women, who tend to participate in community and public affairs at lower levels than men in these settings (Takeshima et al., 2024).

Formative research in Ethiopia and Bangladesh: Strengthening household survey measures of maternal micronutrient supplementation in low- and middle-income countries

Background
As countries transition from iron folic acid (IFA) to multiple micronutrient supplements (MMS) for pregnant women, they need accurate data on who is being reached with these interventions. The aim of our formative research in Ethiopia and Bangladesh was to design updated household survey questions, response options, and visual aids to measure coverage of prenatal micronutrient supplements.

Methods
In Phase I, we landscaped health providers and retailers to identify prenatal micronutrient products available in each country and interviewed currently pregnant women (CPW) and recently delivered women (RDW) about how they differentiated among micronutrient products. In Phase II, we used these findings to draft survey questions and visual aids. In Phase III, we iteratively tested and refined the draft tools through cognitive interviews with women.

Results
The total number of study participants, including CPW, RDW, healthcare workers, and retailers, was 73 in Ethiopia and 132 in Bangladesh. Women in both contexts distinguished among micronutrient products based on color, shape, packaging, and perceived purpose. In cognitive tests, women generally understood the English term “iron” as a catch-all term for any iron-containing supplement. No specific term for multivitamin or MMS was consistently recognized by women. Shorter recalls of 7 days or 1 month for adherence were feasible for respondents.

Conclusions
It is challenging to identify terms and images that help women distinguish between supplement types. The final set of questions are feasible for adaptation and use in multi-topic surveys, in contexts with MMS but require validation.

How local leaders view transparency and local autonomy in humanitarian aid distribution: Evidence from Mali

Recognizing the pivotal role local governance plays in crisis response and the diversity of local conditions even within a single country context, this article examines variation in preferences over humanitarian aid delivery among local leaders in Mali. Drawing on qualitative fieldwork and a survey of 2,919 local leaders across the country, we investigate leaders’ preferences over two key dimensions of aid governance: local autonomy over targeting and distribution and transparency over aid delivery. Using aid profile vignettes to elicit preferences over these attributes, we find that leaders generally favor approaches that combine both greater local control and greater transparency, viewing transparency as complementary to autonomy rather than constraining. Preferences, however, vary by leaders’ position and by context: outsiders to aid governance demand more transparency, and leaders’ relative trust in local aid committees versus donors predicts preferences for autonomy. Leaders in conflict-affected villages place greater value on autonomy and less on transparency, highlighting how insecurity reshapes aid preferences in fragile settings.

Bridging the information gap: How Munda Makeover is transforming agricultural learning in Zambia

This project note presents midline findings regarding the effects of Munda Makeover (MMO), a farm makeover TV show designed to disseminate agricultural knowledge to Zambian farmers in an entertaining way. IFPRI and partners designed and implemented a cluster randomized trial across 160 villages involving two main interventions: village screenings of MMO episodes, combined with weekly SMS reminders to watch the show; and agricultural roadshows or input fairs. Results from a phone survey with 976 farmers show that community screenings and SMS reminders significantly increased viewership and knowledge around innovations promoted in the TV show. However, the uptake of agricultural inputs sold during the roadshows remains limited, largely due to liquidity constraints. These findings offer critical insights for optimizing the delivery of agricultural extension content through mass media and improving farmers’ access to agricultural inputs.

Digital tool integration, biodiversity, and the potato value chain in Kenya: Results from a baseline survey

Potato farmers in Kenya grapple with various challenges along the value chain, including limited access to quality planting materials such as seeds and fertilizers, insufficient storage and postharvest handling facilities, fluctuating market prices, and unreliable market information systems. For women and youth, these challenges are further exacerbated by persistent social gaps in the agriculture sector. Digital tools can play a vital role in addressing these challenges by providing access to valuable agricultural information, weather forecasts, and best practices that help farmers make informed decisions and improve crop management. However, challenges persist in digital tool adoption within agricultural value chains in sub-Saharan Africa. This study assesses the impact of digital tool adoption and support on socioeconomic and agriculture-related outcomes in Kenya’s potato value chain. It piggybacks on an ongoing digital tool integration program, Business Development and Coaching (BDEC), conducted by the Farm to Market Alliance (FtMA), which targets agripreneurs in Farmer Service Centers (FSCs). By comparing a treatment group that receives this training with a control group continuing business as usual, the study evaluates the effects of agripreneurs’ adoption and expanded use of digital tools on farmers’ agriculture based livelihoods, income generation, and job creation metrics, with a focus on youth employment and gender disparities.

Synopsis: Quantifying food losses in the beans value chain in Rwanda – Results from a baseline survey

Reducing food loss has become important, particularly in Sub-Saharan Africa, due to its direct impact on food security. Food loss also reduces producer incomes, increases food prices, and wastes natural resources, resulting in unnecessary greenhouse gas emissions. Most estimates of food loss have been heavily criticized for lacking sound methodological basis. This study uses a novel methodology to measure food loss and identify where it occurs along the beans value chain in Rwanda.