IFPRI Publications: Journal Articles

Impact of adoption of climate smart agriculture practices on farmer’s income in semi-arid regions of Karnataka

Context Semi-arid regions are one of the most vulnerable regions of climate change to agriculture. Karnataka, a semi-arid state of India has warmed by 0.4 °C with declining trends in average annual rainfall by 10 % over the last century, is highly vulnerable to climate change. To adapt with this climate change impact, Government of Karnataka along with CGIAR institutes and agriculture universities had initiated the Bhoo-Samrudhi program in 2013 to promote climate smart agriculture practices in the state. The primary aim of this program was to enhance crop productivity by 25 % and farmers income by 20 %. Objective Firstly, this study aims to identify who adopts CSA practices and at what scale? Secondly, how much additional income farmers earn by adopting CSA practices as compared the non-CSA but improved agricultural practices, and the traditional practices. Thirdly, this study estimates marginal increase in farmers income at difference scale of adoption of CSA practices. Finally, this study identifies possible challenges and opportunities in upscaling the adoption of CSA practices in the state. Methods A primary survey using a semi-structured questionnaire was conducted among the selected 1466 farmer households in four districts of Karnataka (Bidar, Chikballapur, Dharwad, and Udupi). The sample consisted of 833 adopter farmers and 633 non-adopter farmers. Non-adopter farmers were those who were following traditional practice of crop cultivation and rest of the farmers are treated as adopters. The study used multinomial logistic regression to explore what made adopter farmers different from non-adopter farmers. Further, we had applied propensity score matching and inverse probability weighted regression adjustment methods to estimate the impact of scale of adoption of CSA practices on farmers income. Results and conclusions The results highlighted that landholding size, education levels, and asset ownership likely affect the adoption of various levels of CSA practice intensification. Moreover, the impact of adoption on farmers’ income is estimated to be Rs. 4845 for low intensified, Rs. 6801 for medium intensified, and Rs. 7858 for highly intensified farmers, in comparison to the improved technology adopters. Therefore, we can conclude that adoption of single technology may not be able to solve the problem, instead technology intensification can be a more effective mechanism to deal with the vulnerabilities and create resilience against climate change. Significance Technology adoption has been a proven method to improve agricultural productivity as well as income of the farmers in semi-arid regions across the globe. However, an upcoming method to improve food and livelihood security is through sustainable technological intensification. Thus, this study contributes to providing empirical and evidence-based policy suggestions to promote technology intensification instead of just promoting one single technology. Therefore, technology intensification can be considered as a package of multiple technologies for the farmers to improve their crop and land productivity, and to gain higher economic return.

Indicators for monitoring and evaluating research-for-development: A critical review of a system in use

Research-for-development (R4D) refers to research activities specifically designed to address critical social, environmental, and economic challenges and improve human well-being. It is essential to have well-designed indicators to monitor and evaluate progress, guide decision-making, and support learning and improvement. This paper reviews and compares two sets of indicators in use by a large international research consortium: i) ad hoc indicators developed by and for individual (non-pooled) projects, and ii) a standard set of indicators designed as part of a common results framework for a new portfolio of research initiatives. We assess both sets of indicators against the SMART (specific, measurable, achievable, relevant and time-bound) criteria, identify common errors in indicator formulation, compare the thematic coverage of the two sets of indicators, and derive lessons for improved indicator formulation. A large proportion of the non-pooled indicators fail to meet the SMART criteria. The indicators in the standard set are stronger, but with scope for improvement, especially in terms of relationship to the result of interest, specification of the indicator, measurability, standardization of outcome indicators, and impact indicators. We recommend having a balanced set of indicators of key outputs, outcomes, and impacts, based on clear and well-defined result statements.

The technopolitics of agronomic knowledge and tropical(izing) vegetables in Brazil

This article critically analyzes the social and political factors behind the advancement of technoscientific development in modern Brazilian agriculture. In the second half of the 20th century, Brazil underwent a rapid industrialization in the agricultural sector by more than doubling productivity in key global commodities and a widespread migration of people from rural to urban areas. Most observers point to the Brazilian Agricultural Research Corporation (Embrapa) as the technological engine that drove the industrialization of Brazilian agriculture. Existing approaches to analyze technoscientific development tend to overlook the role of the environment and individual scientists in enacting change. I argue that, especially in the case of agriculture, technoscientific development hinges on the extent to which the environment is disregarded or embraced by those who have the institutional support and capacity to innovate. To support my argument, I draw on two contrasting cases of crop development spearheaded by Embrapa scientists: the tropicalization of the carrot and participatory research on non-conventional vegetables. Through those two cases, the article demonstrates how the general and specific, the transnational and local, and the industrial and agroecological are all key contrasting factors for understanding technoscientific development in agriculture. This research is based on extensive interviews and participant observation at Embrapa’s vegetable research center near Brasilia, Brazil.

Compliance with food safety measures and their economic impact on smallholder dairy farmers: Evidence from the Indo-Gangetic plains of India

This study examines the adoption and economic impact of compliance with food safety measures (FSM) using cross-sectional farm-level data from three key states in the Indo-Gangetic Plains, Bihar, Punjab, and Uttar Pradesh, in 2023. The majority of the farmers were operating on marginal and small plots. A Food Safety Index (FSI) derived from 71 distinct practices was used as a quantitative measure of adoption of compliance with FSM. The study assigns 0.60, 0.23, and 0.17 wt to microbiological, physical, and chemical safety measures, respectively, to derive FSI. Determinants of compliance with FSM were analysed using multiple linear regression and ordered logistic model, while Generalized propensity score (GPS) was used to assess the economic impact of compliance with FSM on farm-level performance indicators. The findings indicate that farmers are adopting a moderate level (0.48–0.58) of the FSI. Various socio-economic and demographic factors, such as education, income, marketing channel, training exposure, awareness level, and infrastructure, significantly influence the adoption of FSM. The impact assessment reveals that compliance with FSM correlates with milk prices, productivity, and profitability. However, a lower level of compliance may not yield significant improvements in milk productivity. The study suggests incentivization through pricing reforms, improving infrastructure, strengthening formal marketing channels, and raising awareness through training.

Suboptimal nutritional status of school-age children in Addis Ababa: evidence from the analysis of socioeconomic, environmental, and behavioral factors

Background: School-aged children (6–14 years old) are susceptible to malnutrition and micronutrient deficiencies. Environmental and behavioral factors greatly influence their nutritional status. This study aimed to examine the association between dietary factors and the nutritional status of school-aged children attending public and private schools in Addis Ababa. Methods: A community-based cross-sectional study design was employed from March to August 2023. A total of 309 study participants were randomly selected from 10 schools. Data were entered into Epidata version 3.1 and exported to SPSS version 23.0 for analysis. WHO Anthro Plus 1.0.4 was used to assess the measurements of weight-for-age (WAZ), height-for-age (HAZ), and BMI-for-age (BAZ) for overweight, stunting, and underweight, while wasting was assessed using MUAC. A Poisson regression model was used to determine the association between predictor variables and stunting, wasting, underweight, and overweight, with adjusted prevalence ratios (APR). APR and 95% CI were used to identify statistically significant variables. Results: Findings revealed the prevalence of wasting (15%), stunting (24%), underweight (36%), and overweight (19%) among school-aged children. Factors influencing stunting include marital status, house ownership, education level of parents/caregivers, child sex, and meal skipping. Wasting was linked to wealth index, child age, dietary diversity, dietary habits, water access, and toilet facilities. Underweight predictors include parent/caregiver age, marital status, and meal frequency. Moreover, school type appeared as a significant factor for overweight. Conclusions: The overall nutritional status of school-aged children is suboptimal, influenced by sociodemographic, environmental, and behavioral factors. Addressing these factors through targeted interventions is crucial, particularly for the most vulnerable groups.

Sustainability considerations are not influencing meat consumption in the US

The consumption of animal-source foods, and particularly red meat from ruminants, is a major contributor to greenhouse gas emissions, freshwater use, and loss of biodiversity. Reducing red meat consumption has been identified as a key strategy to mitigate climate change; however, little is known about how to effectively intervene to promote its reduction in the United States (US). This study aimed to examine meat (red, unprocessed, and poultry) and seafood consumption patterns, the factors influencing their consumption (including a reduction in their consumption over time), and how these differed based on socioeconomic variables. The study was conducted through an online survey with a representative sample of the US population (n = 1224) in 2021 using KnowledgePanel®. Overall, we found that most participants reported consuming red meat (78%), processed meat (74%), or poultry (79%) 1–4 times per week, with several differences in consumption patterns based on socio-demographic characteristics. A substantial proportion of the population reported reducing their red (70%) and processed meat (64%) consumption over the previous year, which was much higher than those that reported reducing poultry (34%) or seafood (26%). Key factors influencing red meat reduction were health and price, while environmental sustainability and animal welfare were less important, particularly among certain socio-demographic groups. These findings can help provide insight into how best to frame messaging campaigns aimed at shifting red meat consumption in the US to support climate change mitigation. Focusing on the factors that resonate more with consumers is more likely to lead to shifts in consumption patterns.

Analyzing hypertension and diabetes mellitus status among Bangladeshi adults: Evidence from Bangladesh Demographic Health Survey (BDHS) 2017–18 data

Self-selection versus population-based sampling for evaluation of an agronomy training program in Uganda

One of the challenges in evaluating the impact of agronomy training programs, particularly on downstream impacts such as yield, is identifying a sample of farmers who are likely to participate in the training. We assess farmers’ participation in a farm business training activity before the agronomy training intervention as a sample identification mechanism. The screening activity was designed to appeal to the same group of farmers targeted by a coffee agronomy training program, while having minimal impact on the program’s goal of increasing coffee yields. A three-session training on farm business management was conducted in 22 study villages in central Uganda. Coffee agronomy training was then offered in half of these villages, based on random assignment. The results show that 52% of coffee farmers who attended the first business training session subsequently attended agronomy training, compared to 22% of those identified through a census. Applying these results to the design of a large ongoing randomised controlled trial, we find that using a self-selected sample reduces the minimum detectable effect of agronomy training on coffee yield to 15.83%, compared to 38% if population-based sampling were used.

Monitoring biofortification program performance and potential for impact: Indicators, methods, and learnings from the commercialization of biofortified crops program in six countries across Africa and Asia

Background Biofortification of staple crops is a food-based strategy to reduce the high global burden of micronutrient deficiencies. Monitoring program performance is essential to ensure biofortification programs have high potential for impact; however, few indicators and methods for doing so are publicly available. Objective We documented the set of standardized indicators and methods used to monitor the Commercialization of Biofortified Crops (CBC) program and reviewed their strengths and limitations. Methods Following the CBC program impact pathway, we identified and defined a set of indicators and corresponding methods. Country-level implementation teams contextualized and operationalized them to monitor 9 country-crop programs (i.e., high iron beans in Kenya and Tanzania, iron pearl millet in India, vitamin A maize in Nigeria and Tanzania, vitamin A cassava in Nigeria, zinc wheat in Pakistan and India, and zinc rice in Bangladesh) from 2020 to 2022. Results Twenty indicators were defined across domains of seed supply, production, availability, awareness, capacity development, advocacy, and consumption of biofortified foods. Data collection methods included external and internal document review, farmer household surveys, rapid market assessments, and modeling. The strengths of these methods were that they were rapid to conduct, low cost, and simple to use. For some methods, the limitations were the potentially reduced accuracy of some results due to the use of external data sources or secondary data inputs and unavailability of data. Conclusions The indicators and methods used in the CBC program are practical and cost effective for monitoring the implementation of biofortification programs because they generate the range of information necessary to understand how effectively a program is delivered and bolster plausibility arguments for attributing observed impacts to program activities. Further testing is needed to confirm their generalizability when applied to different contexts and paired with impact evaluations with the aim of producing publicly available global guidance documents.

Defining and measuring policy coherence for food system transformation: A scoping review

Changes in food systems—across multiple sectors and through all levels of government—are essential for meeting many of the Sustainable Development Goals (SDGs) and other global environmental and health targets. Steering food systems towards common outcomes and ensuring that actions in one area do not undermine progress in another requires policy coherence. This scoping review examines how policy coherence has been broadly defined and measured in areas related to food system transformation to inform conceptualization, definition, and measurement specific to food systems transformation and provide insights for policy and program implementation. We reviewed literature published from January 2000 to December 2022 and identified 47 studies meeting the inclusion criteria. Results show that common features of definitions of policy coherence relevant for food systems are: an emphasis on minimizing tradeoffs and maximizing synergies; policy integration within different areas of government and food systems or across scales (horizontal or vertical coherence); alignment of objectives, interventions, and indicators within a given policy area; and complementarity and consistency of actions and goals within or across sectors of food systems. Measurement methods to date are mainly limited to qualitative policy document review and participatory assessment, with no examples of application at scale. This paper provides a first step towards a definition and measurement approach for policy coherence that can fill this important data gap in monitoring the governance of food systems transformation and synthesizes evidence to guide actions towards greater policy coherence in governing national food systems.

Sustainable poverty reduction through social assistance: Modality, context, and complementary programming in Bangladesh

Social assistance programs can increase consumption and reduce poverty, but less is known about whether these impacts are sustained after programs end, or how design and context influence sustainability. Using data collected in two regions of Bangladesh four years after a randomized intervention ended, we find that combining cash transfers with complementary programming led to sustained increases in consumption and reductions in poverty. Combining food transfers with complementary programming showed similar patterns, to a lesser extent. Cash alone had context-specific sustained effects; food alone had no sustained impacts. Results suggest that context, modality, and complementary programming matter for sustained impacts.

Building resilience through integrated assistance: Evidence from the Democratic Republic of the Congo

Despite growing investment in resilience-building programs in conflict zones, limited empirical evidence exists on the effectiveness of integrated interventions in such contexts. This study examines the impact of a comprehensive resilience-building program in North Kivu, Democratic Republic of the Congo (2017-2019), focusing on community infrastructure, farmer associations, and land access. Using propensity score matching and difference-in-differences analysis of primary panel data from 1,643 households, our research reveals that integrated interventions significantly improved households’ resilience capacity, primarily through enhanced market access and strengthened collective marketing systems. The program yielded a statistically significant positive impact on beneficiaries’ access to land and participation in community associations, though impacts on agricultural production and food security were limited. These findings highlight the importance of context-specific, multifaceted approaches in enhancing resilience in areas facing protracted crises, particularly emphasizing market access and social cohesion. Our results provide valuable empirical evidence for policymakers and development practitioners, suggesting that resilience-building in conflict zones requires sustained, locally-adapted interventions that prioritize market linkages and community networks alongside traditional agricultural support. JEL Classification Codes: C01, C23, D04

Harness agrifood value chains to help farmers be climate smart: Incentives and structures exist to improve farming practices

Can survey design reduce anchoring bias in recall data? Evidence from smallholder farmers in Malawi

Recall biases in retrospective self-reported survey data have important implications for empirical research. We leverage the survey design literature and test three strategies to attenuate mental anchoring in retrospective data collection: question ordering, retrieval cues and aggregate (community) anchoring. We focus on maize production and happiness reports among smallholder farmers in Malawi. Asking for retrospective before concurrent data on average reduces recall bias (i.e. the deviation of the recalled versus the concurrent outcome reported in the previous period) by 34 per cent for maize production, a meaningful improvement with no increase in data collection costs. Retrieval cues are less successful and community anchors can exacerbate the bias. None of the strategies help to ease the recall bias for happiness reports.

Crowding in private quality: The equilibrium effects of public spending in education

We estimate the equilibrium effects of a public school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village level, allowing us to estimate its causal impact on the market. Four years after the start of the program, test scores were 0.2 standard deviations higher in public schools. We find evidence of an education multiplier: test scores in private schools were also 0.2 standard deviations higher in treated markets. Consistent with standard models of product differentiation, the education multiplier is greater for those private schools that faced a greater threat to their market power. Accounting for private sector responses increases the program’s cost-effectiveness by 85% and affects how a policy maker would target spending. Given that markets with several public and private schools are now pervasive in low- and middle-income countries, prudent policy requires us to account for private sector responses to public policy, both in policies’ design and evaluation.

Africa pathway to food systems transformation: Challenges and opportunities

This paper explores the pathways to transforming food systems in Africa, focusing on the challenges and opportunities that lie ahead. It examines the current state of food systems, highlighting issues such as food and nutrition security, environmental degradation, low agricultural productivity, limited availability and adoption of yield-increasing technologies, high malnutrition rates, violent conflicts and threats to peace and security, and inadequate governance. The paper emphasizes the need for policy reform, technological innovation, and capacity building to drive sustainable and inclusive food systems. Key drivers of change include policies promoting sustainable practices, increased funding for agricultural research, and improved market access through infrastructure development and trade policies. Good governance practices, including transparency, accountability, and inclusive decision-making, are crucial for effective policy implementation and stakeholder collaboration. Recommendations include empowering women and youth, supporting community-led initiatives, and leveraging the African Continental Free Trade Area (AfCFTA) to enhance intraAfrican trade. By adopting these strategies, Africa can build resilient, equitable, and sustainable food systems.

Experimental measures of intra-household resource control

We study experimental measures of preferences for intra-household resource control among 3387 couples in Ghana and Uganda. We implement two incentivized tasks: (1) a game that measures willingness to pay for resource control in the household, and (2) dictator games played privately and jointly by spouses. Across study sites we find that women exhibit a higher willingness to pay for resource control than their husbands and have less influence over joint dictator game decisions. Importantly, behavior in the two tasks is correlated, suggesting that they capture similar underlying latent variables. In Uganda, experimental measures from both tasks are also robustly correlated with a range of survey measures of women’s access to resources, agency, and wellbeing. This is not the case in Ghana, suggesting that contextual factors may be important, and researchers may want to collect both measures in a project. Like other recent papers, we find that an important fraction of respondents display negative willingness to pay for intra-household resource control. Our analysis shows that such behavior is displayed by women who have higher levels of economic empowerment and wellbeing, a result that contradicts previous conjectures made in the literature. Altogether, our analysis suggests that, despite lacking ideal theoretical properties, private dictator game decisions (even when collected only from the wife) can perform well as proxies of empowerment. JEL Codes: C9, D13, J12, J16

Mobile phones, income diversification, and poverty reduction in rural Bangladesh

The widespread adoption of mobile phones (MPs) presents the possibility of creating employment and self‐employment opportunities. Although several studies have documented the impact of MPs on income, the link between MP ownership and poverty reduction channeled by income diversification has not been fully explored. This paper aims to examine this relationship using nationally representative panel data and fixed effect models to account for confounding factors and unobserved heterogeneity. Results indicate that MP ownership is associated with increased income diversification, particularly through on‐farm and off‐farm self‐employment, as well as non‐earned income. This relationship is more pronounced in households with lower levels of education and deprived areas. In addition, owning a MP is also found to decrease poverty via income diversification. Therefore, policies aimed at enhancing access to mobile technologies could create a resilient income portfolio by decreasing transaction costs and improving market efficiency, ultimately mitigating poverty in rural regions.

Restoring functional integrity of the global production ecosystem through biological control

Human society is anchored in the global agroecosystem. For millennia, this system has provided humans with copious supplies of nutrient-rich food. Yet, through chemical intensification and simplification, vast shares of present-day farmland derive insufficient benefits from biodiversity and prove highly vulnerable to biotic stressors. Here, we argue that on-farm action centered on biological control can effectively defuse pest risk by bolstering foundational ecosystem services. By harnessing plant, animal and microbial biodiversity, biological control offers safe, efficacious and economically-sound plant health solutions and coevolved options for invasive species mitigation. In recent years, its scientific foundation has been fortified and solutions have been refined for myriad ecologically brittle systems. Yet, for biological control to be mainstreamed, it needs to be rebooted, intertwined with (on- and off-farm) agroecological tactics and refurbished – from research, policy and regulation, public-private partnerships up to modes of implementation. Misaligned incentives (for chemical pesticides) and adoption barriers further need to be removed, while its scientific underpinnings should become more interdisciplinary, policy-relevant, solution-oriented and linked with market demand. Thus, biological control could ensure human wellbeing in a nature-friendly manner and retain farmland ecological functioning under global change.

Endogenous technologies and productivity in rice production: Roles of social instability in Myanmar since 2021

Despite technologies’ critical roles in agricultural productivity, evidence is scarce on how conflict affects technology adoption and consequent agricultural productivity, often due to a lack of data in fragile states. Our study contributes to filling this knowledge gap by using unique large-scale data on rice producers before and after a military coup in Myanmar in 2021 that led to a significant increase in conflicts in the country. We find that the increase in violent events including those in adjacent townships significantly changed the rice production function in both factor-neutral and non-neutral ways. Specifically, increased violent events have been generally associated with downward factor-neutral shift in production function, and more importantly, increased output elasticity to agricultural capital (equipment) owned (in other words, reduced output resilience against capital ownership shocks). Our evidence also suggests that this has been led partly through reduced access to agricultural extension services, which would otherwise help farmers maintain productivity even with limited capital ownership by substituting it with human capital and skills. Our results consistently hold for both panel and cross-sectional production functions across various specifications and particularly in Lower Myanmar. Results also indicate that lower mechanization service fees partly mitigate these effects.

Impacts of gender-inclusive extension approaches on farmer understanding and willingness to pay for bundled financial services

Building the resilience of smallholder farmers, and their ability to cope with the negative impacts of climate shocks can significantly improve the sustainability of agriculture as a reliable source of livelihood. While innovations such as index insurance and bundled financial instruments could enhance smallholder farmers’ climate resilience, their uptake, and use remain low, especially among women farmers. Based on experimental data from a risk contingent credit (RCC—an insurance bundled credit product) project in Kenya, we argue that employing inclusive extension approaches that address social inequities in information access and use could enhance gender equality in product understanding, a key determinant of uptake. We evaluate the gender differences of the impacts of conventional face-to-face, animated brochures, and video-based extension approaches on product understanding and willingness to pay (WTP) for RCC. We find that; (i) providing animated brochures to a random subset of farmers significantly improved their understanding and WTP for the product, (ii) the use of animated videos significantly increased product understanding, but it had weaker impacts on the farmers’ WTP, and (iii) the impact of animated brochures on product understanding was significantly larger among women farmers. This study underscores the importance of addressing social and cultural barriers to agricultural information access and use, and designing tailored extension approaches to support men and women in making informed decisions about climate risk management. From a policy perspective, we conclude that addressing these barriers could foster a socially fair, and a more sustainable and resilient agricultural sector for both men and women smallholder farmers.

Can transfers and complementary nutrition programming reduce intimate partner violence four years post-program? Experimental evidence from Bangladesh

Little is known about whether reductions in intimate partner violence (IPV) from transfer programs persist. Using a randomized controlled trial, we find that women in rural Bangladesh who received cash transfers with complementary nutrition programming (including group-based training, home visits, and community meetings) experienced sustained reductions in IPV four years after the program ended. Neither cash transfers alone, nor food transfers with or without complementary nutrition programming, showed sustained impacts on IPV. Evidence suggests that cash with complementary nutrition programming sustained IPV reductions through persistent increases in women’s bargaining power, costs to men of perpetrating violence, and men’s emotional well-being.

A framework for cost-effectiveness analysis of greenhouse gas mitigation measures in dairy industry with an application to dairy farms in China

How do women’s empowerment metrics measure up? A comparative analysis

Research has identified women’s empowerment as a critical factor for nutritional outcomes and a priority area for understanding women’s mental health status. At the same time, there is no consensus on how empowerment should be measured. The surrounding debate has produced several empowerment metrics that are widely used, yet we know little about whether they can be substituted for one another or their respective strengths and weaknesses. Using data collected from a single sample of women from rural, northern Kenya, we compare five empowerment metrics: The Project-level Women’s Empowerment in Agriculture Index (pro-WEAI) and associated Health and Nutrition Module (HN), Women’s Empowerment in Nutrition Index (WENI), Women’s Empowerment in Livestock Index (WELI), and the Survey Based Women’s Empowerment Index (SWPER). The metrics have shared theoretical origins and are commonly used in the food, nutrition and health spaces to study rural women’s lives across low- and middle-income countries. We examine the metrics’ characteristics, distributions, pairwise correlations and capacity of each metric to predict outcomes often associated with the concept of empowerment: body mass index (BMI) and the Center for Epidemiologic Studies Depression Scale (CES-D). We find striking differences between these common empowerment metrics. The metrics’ correlations with one another are highly variable as are the predictive capacities for both outcomes. Further, our analysis finds that the choice of metric can dramatically influence which individuals are identified as empowered. In sum, our results suggest that while these metrics are used in remarkably similar ways to understand rural women’s empowerment and its consequences, unless they are computed with many identical survey questions, the metrics do not capture the same underlying concept and are not interchangeable. We recommend that our work be replicated elsewhere and caution should be taken when implementing and interpreting research using these metrics, as findings may be highly sensitive to the choice of metric.

Computer vision–assisted dietary assessment through mobile phones in female youth in urban Ghana: Validity against weighed records and comparison with 24-h recalls

Background Gaps persist in the data on diets and on the validity of dietary assessment methods in youth in low-income and middle-income countries (LMICs) due to costs constraints. Although computer vision–assisted dietary assessment tools have been proposed, limited evidence exists on their validity in LMICs. Objectives This study aimed to validate FRANI (Food Recognition Assistance and Nudging Insights), a mobile phone application with computer vision–assisted dietary assessment, against weighed records (WRs) and compare with 24-h recalls (24HR), in female youth in Ghana. Methods Dietary intake was assessed on 2 nonconsecutive days using FRANI, WR, and 24HR in females aged 18–24 y recruited at the University of Ghana, Accra (n = 64). Equivalence was examined by comparing intake mean ratios (FRANI/WR and 24HR/WR) with error margins of 10%, 15%, and 20%, using mixed-effect regression models adjusting for repeated measures. Agreement between methods was assessed using the concordance correlation coefficient (CCC). Results Equivalence for FRANI and WR was found at 10% bound for riboflavin and vitamin B-6 intakes and at 15% bound for protein, fat, calcium, folate, iron, thiamine, vitamin C, and zinc intakes. Energy, fiber, vitamin A, and niacin intakes were equivalent at 20% bound. Comparisons between 24HR and WR found no estimates within a 10% bound. Protein, iron, niacin, riboflavin, and zinc intakes were equivalent at a 15% bound; folate, thiamine, and vitamin B-12 intakes were equivalent at a 20% bound. CCCs between FRANI and WR ranged from 0.45 to 0.74 (mean: 0.60) and between 24HR and WR ranged from 0.48 to 0.76 (mean: 0.63). Omission errors were 15% for FRANI and 22% for 24HR. Intrusion errors were 22% for FRANI and 18% for 24HR. Conclusions FRANI-assisted dietary assessment accurately estimates nutrient intake and performed as accurately as 24HR in female youth in Ghana. Although improvements in computer vision–assisted diet assessment are possible, emerging evidence on FRANI suggests its readiness for scale-up.

Subjective well-being, willingness to accept COVID policies, and vulnerability: Evidence from China

Revolutionising multi-sectoral nutrition policy: Insights from the Ethiopian National Information Platform for Nutrition (NiPN) approach

The global nutrition and food security crisis, characterised by troubling trends in various forms of malnutrition ranging from hunger to obesity, has significantly worsened [1,2]. In 2021 and 2022, nearly one-third of the global population faced moderate to severe food insecurity, underscoring a persistent challenge in accessing healthy and sustainable diets [1,3]. This decline in diet quality has led to a surge in malnutrition, with obesity and diet-related noncommunicable diseases (NCDs) reaching epidemic proportions [4–6]. Despite the implementation of numerous nutrition policies and interventions, many low- and middle-income countries (LMICs) continue to grapple with food and nutrition security issues, posing a significant threat to vulnerable populations [3,7]. Food insecurity is particularly evident among the poor, with women and children in rural areas being the most affected [1,2,8]. In 2022 alone, an alarming 230 million children under the age of five experienced some form of malnutrition. Specifically, 148 million (22.3%) were stunted, 45 million (6.8%) were wasted, and 37 million (5.6%) were overweight [1,9,10]. Stunting and wasting were more prevalent in rural areas, while overweight was somewhat more common in urban settings. In Ethiopia, the latest national survey showed that 37% of children under five were stunted, 11% were wasted, and 22% were underweight [11]. Evidence-based approaches and effective programming are essential in tackling these persistent nutrition challenges and improving outcomes. These methods address policy gaps and are cost-effective in resource-poor settings. Recognising the importance of evidence-based policy, driven by political and accountability demands, helps raise awareness and guide decision-making through multisectoral collaboration. However, more evidence does not always mean better policies, as cognitive and institutional factors can hinder effective use. Emphasising knowledge translation in nutrition research is crucial [12], yet many studies focus only on policy formulation, neglecting the systematic analysis of implementation. This highlights the need to address the impact of research on policy and programme execution.

Toward integrated dam assessment: Evaluating multi-dimensional impacts of the Grand Ethiopian Renaissance Dam on Sudan

The Grand Ethiopian Renaissance Dam (GERD) on the Nile is expected to influence many ecosystem services, such as flood regulation, hydro-electricity production, food supply, and habitat provision, among others. Understanding these impacts (positive and negative) requires a comprehensive evaluation framework. This study develops and applies an integrated simulation framework for assessing the impacts of the GERD on Sudan, focusing on the simultaneous economywide effects of riverine flood hazards, irrigation water supply, hydropower generation, and floodplain-dependent industries, namely traditional fired clay brick production. The simulation framework incorporates three models: a river infrastructure system model, a flood model, and a Computable General Equilibrium Model. Results indicate positive impacts for hydropower generation and flood control, marginal benefits for water supply to existing irrigation, and negative consequences for brick production and the construction sector. Assuming that the GERD starts its long-term operation in 2025, we find an overall positive economic impact on Sudan’s Gross Domestic Product in 2025, with an increase of up to just over 0.1%, subject to river flow conditions. Recognizing the differences in impacts across sectors and income groups, the study emphasizes the need for interventions that ameliorate negative effects. While the study captures several impacts, other effects on the environment, recession agriculture, and soil fertility require further investigation. Still, our findings underscore the importance of adopting an integrated simulation approach to dam evaluation, acknowledging the interconnected nature of water and related sectors in national economies.

Women improving nutrition through self-help groups in India: Does nutrition information help?

Women’s self-help groups (SHGs) are an important platform for reaching poor women in India. Despite SHGs’ women-focused programming, evidence of the impact of SHG-based interventions on nutrition outcomes is limited, and most evaluations of nutrition interventions have not examined intermediate outcomes along the impact pathways or outcomes for women themselves. This paper evaluates the effectiveness of an integrated agriculture-nutrition intervention delivered through women’s SHGs in five states in central and eastern India. The interventions involved the delivery of nutrition behavior change communication to groups through participatory approaches, community engagement around key issues, and the strengthening of collective organizations. Our analysis is based on three rounds of rich panel data on close to 2700 rural women and their households from eight districts in these five states and qualitative work from an accompanying process evaluation. Using difference-in-difference models with nearest neighbor matching methods, we present results on women’s anthropometry and diet-related outcomes. We do not observe any improvements in women’s BMI or overall dietary diversity. Although more women in the nutrition intensification arm consumed animal source foods, nuts and seeds, and fruits, this was not enough to increase overall dietary diversity scores or the proportion of women achieving minimum dietary diversity. We measure intermediate outcomes along the program’s impact pathways and find improvements in household incomes, cultivation of home gardens, and utilization of government schemes but not in women’s empowerment. The lack of improvement in anthropometry and diets despite changes in some intermediate outcomes can be attributed to several factors such as low implementation intensity, poor facilitator capacity and incentives, the lack of relevance of the BCC topics to the average SHG member, and resource and agency constraints to adoption of recommended practices. Although we do not have data to test the parallel trends assumption and so do not interpret our results as causal, these findings do suggest that optimism about using group-based platforms needs to be tempered in resource-poor contexts.

Observed trends in multiple breadbasket yield shocks

Extreme climate events in breadbasket regions have become more frequent due to climate change, exposing crops to a greater frequency and intensity of abiotic stress. But by using observed crop yield statistics and an ensemble of statistical models, we demonstrate that over the last six decades the frequency of crop yield shocks in breadbasket regions has been decreasing due to both climate and non-climate factors. Here non-climate factors refer to interannual variability unrelated to abiotic stress, such as biotic stress and management decisions. We find that although the risk posed by extreme heat to crop yields has been increasing, this risk has been offset by changes to precipitation, extremely cold days, and average growing season temperature in many breadbaskets. As a result, total climate-related crop yield shocks have been decreasing for soybeans and wheat, while they have remained roughly constant for maize. Meanwhile, non-climate risks to crop yields have decreased in nearly every breadbasket region across crops. Because non-climate risks have decreased faster than climate risks, we find that the climate accounts for a greater proportion of crop yield shocks in the recent period (1991–2020) compared to an earlier period (1961–90). Our results indicate that extreme climate events are more important than ever to the relative stability of the food production system, even as the overall frequency of multiple breadbasket yield shocks decreases.

An approach for assessing whether agricultural projects help smallholders transition to better livelihood strategies: A Malawian case study

Agricultural projects typically aim to promote the uptake of project components amongst targeted small farm populations to improve their farm productivity and welfare. While this approach can be an important first step towards improving smallholder livelihoods, it ignores alternative and often superior livelihood options that might arise within the rural transformation process, particularly in commercial agriculture and the rural nonfarm economy. We argue that the design of smallholder projects implemented within regions already undergoing a dynamic transformation and/or projects which have significant value chain components, should be broadened to assist smallholders in making successful transitions to their best livelihood options. For such projects, monitoring and evaluation activities should track livelihood transitions as well as the usual assessments of productivity and welfare outcomes. To help operationalize such an approach, we propose a typology of smallholder livelihood strategies that can track transitions over time and illustrate its use with data from the Sustainable Agricultural Production Program (SAPP), an agricultural value chain project in Malawi. Using available household panel data and quasi-experimental econometric approaches, we find that the project helped smallholders transition out of subsistence farming to market-oriented farming and helped already existing market-oriented farmers remain as such. Even though the project did not have any specific components designed to promote off-farm incomes, nevertheless, it facilitated many farm household transitions to off-farm diversified livelihoods, possibly due to spillover benefits generated within the local nonfarm economy. All SAPP facilitated transitions led to increases in household incomes. We conclude with some lessons for designing, monitoring, and the evaluation of future agricultural projects.

Understanding modifiable caregiver factors contributing to child development among young children in rural Malawi

This study examined modifiable caregiver factors influencing child development in Malawi using baseline data from 1,021 mothers and their children <2 years of age participating in a cluster-randomized controlled trial implemented in rural Malawi (2022–2025). We fit an evidence-based theoretical model using structural equation modelling examining four caregiver factors: (1) diet diversity (sum of food groups consumed in the past 24 h), (2) empowerment (assessed using the project-level Women's Empowerment in Agriculture Index), (3) mental health (assessed using the Self-Reported Questionnaire, SRQ-20), and (4) stimulation (number of stimulation activities the mother engaged in the past 3 days). Child development was assessed using the Malawi Development Assessment Tool (norm-referenced aggregate Z-score). The model controlled for child, caregiver, and household socioeconomic characteristics. Results showed that caregiver dietary diversity was directly associated with higher child development scores (standardized coefficient 0.091 [95% CI 0.027, 0.153]) and lower SRQ-20 scores −0.058 (−0.111, −0.006). Empowerment was directly associated with higher child development scores (0.071 [0.007, 0.133]), higher stimulation score (0.074 [0.013, 0.140]), higher dietary diversity (0.085 [0.016, 0.145]), and lower SRQ-20 scores (−0.068 [−0.137, −0.002]). Further, higher empowerment was indirectly associated with improved child development through enhancement of caregiver dietary diversity, with an indirect effect of 0.008 (0.002, 0.018). These findings highlight the important role that caregiver diet and empowerment play in directly influencing child development and other aspects of caregiver well-being. Interventions aimed at enhancing child development should consider these factors as potential targets to improve outcomes for children and caregivers.

Mapping flows in the cassava, rice, milk, and fish supply chains of the Eastern Democratic Republic of the Congo: Is there any quiet revolution taking place?

Identifying measures for coverage of nutrition-sensitive social protection programs: Learnings from India

Optimal child growth requires a combination of nutrition-specific and sensitive interventions in the first 1,000 days. There is limited guidance on how to measure the population-level coverage of nutrition-sensitive social protection (NSSP), which is designed with explicit nutrition goals and often provides food or cash transfers and co-coverage with nutrition and health intervention. In this study in India, we designed a questionnaire that captures seven core NSSP program elements (transfer type, size, modality, population, timing, provider, conditionalities), then used cognitive testing to refine the questionnaire, and then implemented the questions as part of a telephone survey. Cognitive testing indicated variability in understanding the terms used to specify NSSP programs, including the need to use regional program names. Respondents also had difficulty recalling the timing of the benefit receipt. We included the refined NSSP coverage questions in a phone-based survey with 6,627 mothers with children <2 years across six states. Coverage of subsidized food was 73% across all households. Women were more likely to report receiving food than cash transfers during pregnancy (89% vs. 60%) and during lactation (75% vs. 13%). Co-coverage of NSSP with nutrition and health interventions during pregnancy (16%) and early childhood (3%) was low. It was feasible to measure coverage of NSSP investments in these populations; however, further research is needed to comprehensively assess all the dimensions of the NSSP benefits, including benefit adequacy and the validity of these questions when administered in person and by phone.

Temperature and children’s dietary diversity: Evidence from India

Children’s exposure to heat is related to both chronic and acute nutritional status. However, there is limited empirical evidence on how a rise in temperature affects dietary quality. Using the most recent rounds of the Demographic Health Survey for India, conducted in 2015–16 and 2019–20, combined with geospatial data from various sources, this study empirically explores the relationship between temperature and dietary diversity of children in the age group of 6 to 23 months. The study highlights that higher temperatures are associated with a modest yet statistically significant decrease in the dietary diversity of children aged 6 to 23 months. We also find that, while minor temperature variations may have minimal effects, larger shifts within specific temperature ranges can lead to more pronounced alterations in children’s dietary diversity. Moreover, factors such as children’s age, historical climate context, and seasonality influence the magnitude of this relationship. Additionally, access to infrastructure and maternal education significantly mediate the adverse effects of temperature on children’s dietary patterns, highlighting the importance of targeted interventions in vulnerable communities..

Monitoring the cost and affordability of a healthy diet within Countries: Building systems in Ethiopia, Ghana, Malawi, Nigeria, Pakistan, Tanzania, and Viet Nam

Background Governments around the world collect food price data on a frequent basis, often monthly, for the purpose of monitoring inflation. These routine economic data can be used with a nutrition-sensitive lens for understanding economic access to a healthy diet. The United Nations Food and Agriculture Organization has adopted the cost and affordability of a healthy diet (CoAHD) for annual tracking alongside other food security indicators. This indicator is relevant in many countries for informed decision-making and accountability toward food systems summit pathways. National governments may wish to include this indicator in their own monitoring systems, using existing subnational price and income data. Objectives We describe emerging systems in several countries for monitoring CoAHD and analytical tools that facilitate the calculation of CoAHD. We discuss reasons why the indicator may differ when calculated using subnational data compared with the global monitoring system and how to interpret differences. Methods Between June 2016 and February 2024, 19 workshops were held in 7 countries (Ethiopia, Ghana, Malawi, Nigeria, Pakistan, Tanzania, and Viet Nam), where stakeholder discussions covered sources of food price data, institutions involved, policy uses, and direct training in calculation of CoAHD. Food price data collected by national organizations were used to calculate CoAHD in partnership with government agencies. Results Calculating CoAHD using subnational data uses the same methods across settings, but the mechanisms for monitoring and dissemination are different in each country, illustrating heterogeneity in how the metric can most effectively be incorporated within existing structures. Results from national and global monitoring systems have expected differences based on data sources, healthy diet standards, and affordability standards. Conclusions CoAHD can be calculated with existing data and resources, facilitated by new software tools and user tutorials. In the future, it can be further streamlined, leveraging technical assistance from global institutions and aligning national and global monitoring systems.

Treatment of moderate acute malnutrition through community health volunteers is a cost-effective intervention: Evidence from a resource-limited setting

Treatment outcomes for acute malnutrition can be improved by integrating treatment into community case management (iCCM). However, little is known about the cost-effectiveness of this integrated nutrition intervention. The present study investigates the cost-effectiveness of treating moderate acute malnutrition (MAM) through community health volunteer (CHV) and integrating it with routine iCCM. A cost-effectiveness model compared the costs and effects of CHV sites plus health facility-based treatment (intervention) with the routine health facility-based treatment strategy alone (control). The costing assessments combined both provider and patient costs. The cost per DALY averted was the primary metric for the comparison, on which sensitivity analysis was performed. Additionally, the integrated strategy’s relative value for money was evaluated using the most recent country-specific gross domestic product threshold metrics. The intervention dominated the health facility-based strategy alone on all computed cost-effectiveness outcomes. MAM treatment by CHVs plus health facilities was estimated to yield a cost per death and DALY averted of US$ 8743 and US$ 397, respectively, as opposed to US$ 13,846 and US$ 637 in the control group. The findings also showed that the intervention group spent less per child treated and recovered than the control group: US$ 214 versus US$ 270 and US$ 306 versus US$ 485, respectively. Compared with facility-based treatment, treating MAM by CHVs and health facilities was a cost-effective intervention. Additional gains could be achieved if more children with MAM are enrolled and treated.

Bottom-up approaches and decentralized extension structures for improving access to and quality of extension services and technology adoption: Multi-level analysis from Malawi

This paper looks at village agriculture committees, model villages, and stakeholder panels at various levels as participatory and decentralized structures for improving demand articulation and accountability in agricultural extension service provision in Malawi. It uses various datasets including nationally representative household and community surveys, a survey of service providers, a survey of representatives from the various structures, focus group discussions, and key informant interviews. It employs various estimation methods including matching techniques, matching plus regression adjustments, and an instrumental variables approach. Results show diverse experiences and functionality of these structures. Contrary to earlier reports, most of these structures are active, except for district stakeholder panels (DSPs), of which only about a quarter are active. Similarly, most of them provide a platform for discussion and feedback on service providers and the quality of their advice, except for DSPs. However, most structures were given poor ratings in terms of their responsiveness to the concerns and issues raised. Household participation in village development or agriculture committees is strongly associated with better household outcome indicators. These village committees, if they are active and responsive to farmers’ expressed concerns and needs, can contribute to better community-level outcomes. Results show that these village-level structures matter and that strengthening them is key to addressing their long-term functionality. On the other hand, a model village concept that focuses on an integrated approach to solving communities’ challenges is not associated with improved community outcome indicators; therefore, its implementation should be reviewed and improved to contribute to development outcomes.

School feeding for improving child nutrition in conflict-affected settings: Feasibility and cost efficiency of alternative models in Yemen

School feeding programs can support children’s nutrition, health, and education in emergencies. This study assessed the feasibility, trade-offs, cost efficiency, and perceived benefits of school feeding modalities operating in urban Yemen. It draws on primary data from a qualitative evaluation with 21 school feeding implementers and 88 beneficiaries conducted in Feb–Mar 2023, and secondary data from a desk review of published and program literature on school feeding operations. Results showed that school feeding provided students with on average 18%, 40%, and 66% of daily energy, protein, and micronutrient requirements, respectively. Models including fortified snacks were 3–11 times more cost-efficient in terms of nutrient delivery. The most prominent strength of the models examined were the perceived benefits on child, family, and financial outcomes. Among the main weaknesses was the poor nutritional quality of the meal, which in turn emerged as a primary opportunity to improve school feeding through hybrid models providing a combination of fortified snacks and healthy meals. Other weaknesses such as poor water, sanitation, and hygiene infrastructure, and desired improvements such as the school kitchen and canteen, require considerable investments. Hybrid models are cost-efficient, acceptable, and feasible in Yemen and can serve the diet and nutrition needs of school-aged children.

Public expenditure’s role in reducing poverty and improving food and nutrition security: Cross-country evidence from SPEED data

Transformation of the rural nonfarm economy during rapid urbanization and structural transformation in developing regions

This article reviews the past 25 years of empirical research on the rural nonfarm economy (RNFE) in developing countries; that literature has evolved in ways that track and mirror the rural transformation itself. Since 2000, rapid urbanization, structural transformation, and a sharp series of economic, climate, and disease shocks have influenced trajectories in the RNFE. It has grown to become, on average, the predominant source of income for rural households in developing countries. Both segments of the RNFE—activities linked to agricultural value chains as well as those unrelated to the agricultural sector—have grown. Understanding how each component of the RNFE influences rural incomes, employment, resilience, women, youth, and farming and natural resource management practices is, therefore, more important than ever.

Effects of prenatal small-quantity lipid-based nutrient supplements on pregnancy, birth and infant outcomes: A systematic review and meta-analysis of individual participant data from randomized controlled trials in low- and middle-income countries

Background Undernutrition during pregnancy increases the risk of giving birth to a small vulnerable newborn. Small-quantity lipid-based nutrient supplements (SQ-LNS) contain both macro- and micronutrients and can help prevent multiple nutritional deficiencies. Objectives We examined effects of SQ-LNS provided during pregnancy, compared to a) iron and folic acid or standard of care (IFA/SOC) or b) multiple micronutrient supplements (MMS), and identified characteristics that modified the estimates of effects of SQ-LNS on birth outcomes. Methods We conducted a 2-stage meta-analysis of individual participant data from 4 randomized controlled trials of SQ-LNS provided during pregnancy (n = 5,273). We generated study-specific and subgroup estimates of SQ-LNS compared with IFA/SOC or MMS and pooled the estimates. In sensitivity analyses, we examined whether results differed depending on methods for gestational age dating, birth anthropometry, or study design. Results SQ-LNS (vs IFA/SOC) increased birth weight (mean difference: +49g; 95% CI: 26, 71g) and all birth anthropometric z-scores (+0.10-0.13 SD); it reduced risk of low birthweight by 11%, newborn stunting by 17%, newborn wasting by 11%, and small head size by 15%. Only 2 trials compared SQ-LNS and MMS; p-values for birth outcomes were >0.10 except for head circumference (e.g., z-score for gestational age +0.11; 95% CI: -0.01, 0.23). Effect estimates for SQ-LNS vs IFA/SOC were greater among female infants and, for certain outcomes, among mothers with body mass index < 20 kg/m2, inflammation, malaria, or household food insecurity. Effect estimates for SQ-LNS vs MMS were greater for certain outcomes among female infants, first-born infants, and mothers < 25 y. Conclusions SQ-LNS had positive impacts on multiple outcomes compared to IFA/SOC, but further research directly comparing SQ-LNS and MMS is needed. Targeting SQ-LNS to vulnerable subgroups may be worth considering. Analysis registered at www.crd.york.ac.uk/PROSPERO (CRD42021283391).

Political economy of agriculture and food policy in Africa

This article reviews the literature on the political economy of agricultural and food policy in sub-Saharan Africa. In doing so, it first presents a conceptual framework highlighting that agricultural and food policy decisions are contingent on the intersection between governance structures, the preferences and pressures from societal interest groups, and international dynamics. The interrelations among these three factors are then examined across several different sets of policy instruments that have been the focus of traditional political economy research in the region: trade, tax, and marketing policies; public investments and regulations; input and food subsidies; and cross-cutting policies for value chain development. Recognizing several broader demographic, technology, and governance transitions in the region, the article also highlights key areas for future analysis that examine the role of cities in food policy, the possibilities presented by expanded mobile phone and Internet access, and the efficacy of new public administration modalities for policy implementation. JEL Codes: D72, N57, P00, Q18, Z18

Housing values and jurisdictional fragmentation

JEL Classification: H11, H77

Correcting misperceptions about support for social distancing to combat COVID-19

Can informing people of high community support for social distancing encourage them to do more of it? We randomly assigned a treatment to correct individuals’ underestimates of community support for social distancing. In theory, informing people that more neighbors support social distancing than expected encourages free riding and lowers the perceived benefits from social distancing. At the same time, the treatment induces people to revise their beliefs about the infectiousness of COVID-19 upward; this perceived-infectiousness effect and the norm-adherence effect increase the perceived benefits from social distancing. We estimate the effects on social distancing, which are measured by using a combination of self-reports and reports of others. While experts surveyed in advance expected the treatment to increase social distancing, we find that its average effect is close to zero and significantly lower than expert predictions. However, the treatment’s effect is heterogeneous as predicted by theory: it decreases social distancing where current COVID-19 cases are low (where free riding dominates) but increases it where cases are high (where the perceived-infectiousness effect dominates). These findings highlight that correction of misperceptions may have heterogeneous effects depending on disease prevalence.

Bilateral trade welfare impacts of India’s export ban of non-basmati rice using the global partial equilibrium simulation model (GSIM)

India, the world’s leading rice exporter, banned the export of non-Basmati white rice, accounting for 25% of its total exports (or 10% of the global rice trade). The ban aims to ensure availability to domestic Indian consumers and reduce domestic market prices, impacting global rice market accessibility, consumers, and producers across twelve regions. The study utilized the global simulation model (GSIM) to analyze the effects of trade restrictions on industries. The model uses national product differentiation to assess trade policy changes at global, regional, or national scales. It examined importer and exporter effects on trade values, tariff revenues, exporter surplus, and importer surplus. It found that India’s Voluntary Export Restraint (VER) ban on non-Basmati rice resulted in a higher local price and a negative global net welfare impact of USD 1.7 billion. The losses decreased to USD 1.4 billion when importing countries responded by reducing rice import tariffs by 25% and USD 1.1 billion when importing countries reduced tariffs by 75%. Sub-Saharan Africa, the Middle East, North Africa, and the Gulf Cooperation Council regions were most affected. The study also found minimal impact on consumer surplus in India due to inelastic rice demand.

Examining the impact of climate change on cereal production in India: Empirical evidence from ARDL modelling approach

Agriculture sector is major sufferer of climate change both at a global level as well as at India level. Cereals account for about 92 % of India’s total food grain output and climate change has a significant influence on the production of cereals. This study aimed to evaluate the long-term and short-term effects of climatic and non-climatic variables, specifically temperature, precipitation, cereal area, total cropped area, fertilizer consumption, and pesticide consumption, on cereal production in India. The study included annual time series data that covered the period from 1960 to 2018, covering a period of 58 years. Various econometric techniques were employed to examine these relationships. The validity of a long-term and short-term relationship among the relevant variables included in the study was validated by employing the Autoregressive Distributed Lag (ARDL) technique and the Johansen cointegration test. The ARDL model’s estimation outcomes reveals that input factors such as cereal area became a key factor in rising cereal production, as evidenced by its positive coefficient. Similarly, fertilizer consumption and precipitation had positive effects on production in the long run whereas total cropped area and minimum temperature has little influence over the results of production both in short run as well as long run. Furthermore, the long-term findings were also supported using econometric tools like Canonical Cointegrating Regression (CCR) and Fully Modified Least Squares (FMOLS). These methods confirmed that variations in cereal production in India were significantly influenced by both climatic factors and agricultural inputs and factors. The study emphasizes the urgency for policymakers to prioritize proactive measures aimed at reducing the adverse impacts of climate change on cereal production in India. This necessitates a comprehensive strategy integrating sustainable practices, technological innovations, and robust policy frameworks to ensure resilient agricultural sectors and sustainable food production.

Combine harvester outsourcing services and seasonal rural non-farm employment in Myanmar

Prior research on mechanization outsource services has not explored seasonal variations in drivers and outcomes of adoption by smallholders. These omissions are important because seasonality of crop cultivation may influence intensity of demand for machines, while seasonality of demand for non-farm labor may influence the availability and cost of agricultural workers and the opportunity costs of on-farm self-employment. We analyze seasonal correlates of combine harvester outsource service use in Myanmar. Surprisingly, adoption is not associated with lower labor costs or higher net margins from paddy cultivation. Rather, using combines releases family labor into more remunerative dry season non-farm employment.

Reconciling conservation and development requires enhanced integration and broader aims: A cross- continental assessment of landscape approaches

Expectations for agricultural landscapes in subtropical and tropical regions are high, aiming for conservation and development amid climate change, unfair trade, poverty, and environmental degradation. Landscape ap- proaches (LAs) are gaining momentum as means to reconcile expectations, although they face multiple chal- lenges, including unclear distinctions among LAs and stakeholder involvement. We studied 380 LAs from three continents via questionnaires with landscape managers (2012–2015 and 2021) and identified three LA types through cluster analysis: an ‘‘integrated’’ type with longer-term, multisectoral goals involving various stakeholders early in the design and two shorter-term types focused on sectoral priorities of preservation or production. Better-performing LAs are associated with longevity, inclusivity, and diversified investments across goals, notably those enabling social justice. International stakeholder analysis shows broad support for LAs but identifies gaps between support and LAs’ needs. The growing interest in LAs is promising. Yet, underpinning effective and lasting LAs that reconcile multiple expectations requires better support.

Staking claim to entitlements under MGNREGA: How can women make their demands?

There are internal constraints and structural barriers to women’s claim-making under MGNREGA. Supporting more egalitarian decision-making within the village, designing interventions that can help women gain confidence to speak out in public and making officials more responsive could all help.

Diet quality among mothers and children in India: Roles of social and behavior change communication and nutrition-sensitive social protection programs

Background: Limited evidence exists on determinants of maternal and child diet quality. Objectives: This study examined the role of Social and Behavior Change Communication (SBCC) and nutrition-sensitive social protection (NSSP) programs on maternal and child diet quality. Methods: Data were from cross-sectional phone survey on 6,627 Indian mothers that took place in late 2021. The Diet Quality Questionnaire (DQQ) was used to measure maternal and child diet quality, including minimum dietary diversity (MDD), dietary diversity scores (DDS), non-communicable disease (NCD)-Protect and NCD-Risk, adherence to dietary guidelines (All-5 and India-All-6), and unhealthy child feeding. Multivariate regression models were used to explore the association between diet indicators and coverage of SBCC and NSSP programs. Results: Maternal and child diet quality was suboptimal, with more mothers (57%) achieving MDD than children (23%). SBCC was positively associated with healthy food consumption in children (Odds Ratio, OR=2.14 for MDD, β=0.60 for DDS and 0.54 for NCD-Protect), and mothers (β=0.38 for DDS and 0.43 for NCD-Protect). Cash transfers were associated with healthier diets in mothers (OR=1.45 for MDD, 1.86 for All-5, and 2.14 for India-All-6, β=0.43 for DDS and 0.26 for NCD-Protect), but less associations for children (β=0.14 for NCD-Protect). Receiving food was associated with healthier diets in mothers (OR 1.47 for MDD, β= 0.27 for DDS and 0.33 for NCD-Protect) and children (β=0.19 for DDS and 0.15 for NCD-Protect), but also with unhealthy food in children (OR=1.34). Exposure to multiple programs showed stronger associations with diet quality. Conclusion: SBCC had greater positive impact on child feeding than food and cash transfers, while cash had a stronger association with improved maternal diets. Food and cash are also associated with unhealthy food consumption. Our study underscores the importance of interventions that combine education, resource provision, and targeted support to promote maternal and child diet quality.

Spatial typology for food system analysis: Taking stock and setting a research agenda

Making complementary agricultural resources, technologies, and services more gender-responsive

Rural women in low- and middle-income countries face multiple constraints in accessing and benefiting from essential complementary resources, technologies, and services for agricultural production and participation in the agrifood system. This paper highlights recent thinking around these constraints and how to overcome them. The complementary factors we consider are: (1) networks and social capital, (2) information and communications technologies, (3) other agricultural tech nologies, (4) agricultural extension and advisory services, (5) financial services, and (6) social assistance. We first analyze constraints women face in accessing and benefiting from these complementary factors and describe the potential benefits of reducing these constraints and gender inequities in the agrifood system. We then provide evidence on what has been effective for improving women’s access to and ability to benefit from the six complementary factors. We conclude by highlighting the importance of considering the different preferences of men and women when designing policies and interventions; challenging customs, norms and perceptions; and reforming formal rules and institutions toward more inclusive agrifood systems.

Irrigation technologies and management and their environmental consequences: Empirical evidence from Ethiopia

The main objective of this study is to understand the interlinkages between different irrigation technologies and management systems and environmental outcomes. We use a unique and comprehensive household and plot-level dataset covering ten districts of Ethiopia complemented with remotely sensed data and qualitative information collected from the study sites. The econometric results show that compared to open-access plots equipped with pump irrigation, other irrigated configurations, and especially private groundwater-based systems, have higher vegetation cover and show less susceptibility to the most common environmental concerns mentioned in the survey regions: water logging, soil salinity, and erosion externalities.

Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan

The prevalence of overweight and obesity has been increasing in Central Asia. Among numerous potential dietary determinants of overweight and obesity, sugar-sweetened beverages (SSBs) have received a great deal of attention because they are a significant source of calories and added sugars in both children and adults. In this study, we examine the relationship between SSB consumption and overweight and obesity in Kyrgyzstan using household-level data from the Kyrgyzstan Integrated Household Survey 2011 using propensity score matching in tandem with machine-learning models. The findings of our study indicate SSBs consumption is associated with 1.6 percentage point higher risk of obesity among both men and women in the context of Kyrgyzstan. Besides, we have observed the positive association between age, income, calorie intake, and share of calorie intake from staples and the likelihood of being obese.

Rising atmospheric carbon dioxide concentrations increase gaps of rice yields between low- and middle-to-high-income countries

The rising carbon dioxide concentrations are expected to increase future rice yields. However, variations in the CO2 fertilization effect (CFE) between rice subspecies and the influence of concurrent global warming introduce uncertainty in future global rice yield projections. Here we conducted a meta-analysis of rising carbon dioxide field experiments and employed crop modelling to assess future global rice yields for the top 14 rice producing countries. We found a robust parabolic relationship between rice CFE and temperature, with significant variations between rice subspecies. Our projections indicate that global rice production in the 2050s is expected to increase by 50.32 million tonnes (7.6%) due to CFE compared with historical production. Because low-income countries will experience higher temperatures, the gaps (difference of Δyield) between middle-to-high-income and low-income countries are projected to widen from the 2030s to the 2090s under elevated carbon dioxide. These findings underscore the critical role of CFE and emphasize the necessity to increase investments in research and technology for rice producing systems in low-income countries.

Toilet construction under the Swachh Bharat Mission and infant mortality in India

Improvement of water and sanitation conditions may reduce infant mortality, particularly in countries like India where open defecation is highly prevalent. We conducted a quasi-experimental study to investigate the association between the Swachh Bharat Mission (SBM)—a national sanitation program initiated in 2014—and infant (IMR) and under five mortality rates (U5MR) in India. We analyzed data from thirty-five Indian states and 640 districts spanning 10 years (2011–2020), with IMR and U5MR per thousand live births as the outcomes. Our main exposure was the district-level annual percentage of households that received a constructed toilet under SBM. We mapped changes in IMR and U5MR and toilet access at the district level over time. We fit two-way fixed effects regression models controlling for sociodemographic, wealth, and healthcare-related confounders at the district-level to estimate the association between toilets constructed and child mortality. Toilet access and child mortality have a historically robust inverse association in India. Toilets constructed increased dramatically across India following the implementation of SBM in 2014. Results from panel data regression models show that districts with > 30% toilets constructed under SBM corresponds with 5.3 lower IMR (p < 0.05), and 6.8 lower U5MR (p < 0.05). Placebo, falsification tests and robustness checks support our main findings. The post-SBM period in India exhibited accelerated reductions in infant and child mortality compared to the pre-SBM years. Based on our regression estimates, the provision of toilets at-scale may have contributed to averting approximately 60,000–70,000 infant deaths annually. Our findings show that the implementation of transformative sanitation programs can deliver population health benefits in low- and middle-income countries.

Climate change and sex-specific labor intensity: An empirical analysis in Africa

Increased weather variability as well as frequency and intensity of extreme shocks are expected to disrupt agriculture-based livelihoods. As the scientific community develops more accurate climate model simulations, analyses, and methods, new alarming trends in global warming emerge. According to the Intergovernmental Panel on Climate Change (IPCC), the surface temperature in Africa has risen at a faster pace than the global average, leading to an increasing frequency and severity of heat waves throughout the 21st century. The African continent is expected to face more severe climate change conditions than other parts of the world.

Interstate air pollution governance in the United States: Exploring Clean Air Act Section 126

Air pollution is arguably the most pressing human health concern today, accounting for approximately 7–9 million premature deaths worldwide. In the United States, more than 40% of early deaths caused by air pollution are assessed to be caused by emissions produced by neighboring states. This article examines one of the governance mechanisms used by the U.S. to address this issue: section 126 of the Clean Air Act. Critical factors including case length, evidence used, and case outcome are compiled for the population of section 126 petitions submitted from 2000–2022. This evidence is assessed using comparative case analysis. The findings reinforce two issues with the petition process already identified in the literature–the use of cost as a proxy for significance and the excessive and unclear burden of proof placed on downwind states–adding texture to the latter issue by examining the modeling techniques used by downwind states. This analysis identifies lengthy response timelines as an additional issue and calls to attention the infrequency with which the EPA has formally accepted petitions. Collectively, these issues increase the cost, complexity, and unpredictability of filing a section 126 petition.

Diet quality and associations with motivation and ability to consume a healthy diet among adolescents from urban low-income households in Bangladesh

In low- and middle-income countries, particularly in urban areas, adolescent diets consist mainly of energy-dense and nutrient-poor foods, putting them at risk of malnutrition and non-communicable diseases (NCD). In Bangladesh, little is known about the diet quality of adolescents, their food choices and the drivers of such choices. This study assessed motivations and ability to consume a healthy diet among adolescent girls and boys from low-income urban families and how these drivers were associated with dietary diversity and diet quality. A cross-sectional survey was conducted among 299 adolescents (15–19 years) from low-income households in Dhaka city during September–October 2020. The Diet Quality Questionnaire was used to collect non-quantitative food intake in the previous day or night to calculate diet quality indicators of food group diversity score, % of adolescents achieving minimum dietary diversity, NCD-Protect and NCD-Risk and the Global Dietary Recommendations score. Motivation was measured by 11 food choice motives. Ability was measured by belief in own ability to engage in healthy eating behaviors (self-efficacy). Adolescent diets showed a mean food group diversity of 4.9 out of 10, with 60% of adolescents achieving minimum dietary diversity, but lacked health-promoting foods (average of 2.7 out of 9 food groups) yet included few foods to avoid and limit (1.6 out of 9). Adolescents valued food choice motive ‘safety’ the most, followed by ‘health’, ‘taste’, ‘price’, ‘convenience’ and ‘local or seasonal’. A higher motivation to consume ‘local or seasonal’ and a lower motivation driven by ‘price’, and a higher perceived self-efficacy were associated with better diet quality. Future interventions should address self-efficacy, concerns about food price and increase local and seasonal foods availability in the urban poor food environment of Dhaka to improve overall diet quality.

Intrahousehold food distribution in the Philippines: A food share over energy share perspective

Assessing the validity of maternal report on breastfeeding counselling in Kosovo’s primary health facilities

Background Improving the quality of breastfeeding counselling delivered by primary care providers can improve breastfeeding outcomes and ultimately reduce mortality and morbidity of children and mothers. Accurate data on coverage and quality of primary care breastfeeding counselling is essential for monitoring progress; however, global and national indicators are limited. To help address this gap, this study validated indicators of receipt and quality of breastfeeding counselling during routine consultations for infant care at seven primary health facilities across Kosovo. Methods Mothers’ reports of breastfeeding counselling received during routine consultations for their infants (0–12 months of age) were collected by exit interview in 2019 and 2021 (n = 609). Responses were compared against direct observation of their consultation using a structured checklist (reference standard) by a trained third-party observer at the primary care facility. We assessed 13 indicators; ten were related to the receipt and content of breastfeeding counselling, and three were specific to the provider’s interpersonal skills. We calculated sensitivity, specificity, and area under the receiver operating curve (AUC) to determine individual-level reporting accuracy. Results Ten indicators had an agreement rate above 70% and seven indicators had high overall individual-level validity (AUC ≥ 0.7). High prevalence indicators recorded high sensitivity and low specificity, and the inverse for low prevalence indicators. More subjective indicators were less reliable, e.g., mothers over-reported the prevalence of all three indicators related to providers’ interpersonal skills. Conclusions This study offers evidence on breastfeeding counselling quality by validating maternal reports of whether a provider discussed breastfeeding, the clinical content of that counselling, and how it was delivered. It is also situated in a primary care setting within a fragile state of which there is limited evidence. We observed that mothers reported accurately when asked directly to recall breastfeeding counselling services received. However, there is a need to further validate subjective questions about interpersonal skills and other measures for the ‘experience of care’ quality dimension.

Scaling community-based aquaculture for enhanced nutrition and women’s empowerment: lessons from Odisha, India

Introduction: Aquatic foods, particularly fish, are essential for addressing malnutrition, especially in vulnerable populations like children and women. In India, traditional aquaculture practices centered around carp species often overlooked the production of nutrient-rich small fish. To address this, nutrition-sensitive aquaculture approaches advocate for integrating species like mola carplet (Amblypharyngodon mola) rich in micronutrients, into existing systems. In Odisha, India, where poverty and food insecurity are prevalent, the government initiated a program to empower women through aquaculture, focusing on nutrition-sensitive carp-mola polyculture in community ponds through Women Self-Help Groups (WSHGs). Methods: This study evaluates the effectiveness of this government program in enhancing income, household nutrition, and women’s empowerment. Data from field surveys conducted across all 30 districts of Odisha were analyzed to assess participation, capacity building, adoption of better management practices (BMPs), productivity of carp-mola polyculture, household fish consumption, and profitability. Results and discussion: The study found widespread participation and adoption of BMPs among WSHGs, leading to increased productivity and income. Carp-mola polyculture systems showed higher productivity and consumption rates, contributing to improved nutrition among WSHGs and their communities. Despite challenges such as input costs and limited mola availability, WSHGs reported profitability from fish farming, with carp-mola polyculture systems yielding higher net income. Factors influencing productivity and profitability included water retention period, stocking density, feed application, and training. The program’s impact extended beyond economic benefits, encompassing environmental improvement, women’s empowerment, and enhanced nutrition outcomes. The study highlights the success of the government program in promoting sustainable aquaculture practices and improving nutrition outcomes in Odisha. Continued support, capacity building, and collaboration among stakeholders are essential for scaling up nutrition-sensitive aquaculture interventions and ensuring long-term sustainability. Strengthening dissemination processes, addressing challenges, and further research on small indigenous fish production techniques are crucial for maximizing the program’s impact on food security and rural development.

Individual interventions, collective lessons: Developing mid-range theory on women’s groups to improve health

Background Interventions with women’s groups have been widely implemented to improve health outcomes in low- and middle-income settings, particularly India. While there is a large evidence base on the effectiveness of single interventions, it is challenging to predict whether a women’s group intervention delivered in one setting can be expected to work in another. Methods We applied realist principles to develop and refine a mid-range theory on the effectiveness of women’s groups interventions, summarised key lessons for implementation, and reflected on the process. We synthesised primary data from several interventions in India, a systematic review, and an analysis of behaviour change techniques. We developed mid-range theories across three areas: maternal and newborn health, nutrition, and violence against women, as well as an overarching mid-range theory on how women’s groups can improve health. Results Our overarching mid-range theory suggested that effective interventions should: build group or community capabilities; focus on health outcomes relevant to group members; and approach health issues modifiable through women’s individual or collective actions. We identified four key lessons for future interventions with women’s groups, including the importance of skilled and remunerated facilitation, sufficient intensity, supply-side strengthening, and the need to adapt delivery during scale up while maintaining fidelity to intervention theory. Conclusions Our experience demonstrated the feasibility of developing mid-range theory from a combination of evidence and insights from practice. It also underscored the importance of community engagement and ongoing research to ‘thicken’ mid-range theories to design effective and scalable women’s groups interventions in India and similar settings.

The relationship of preterm and small for gestational age with child cognition during school-age years

Background Children born preterm and/or small for gestational age (SGA) are at increased risk of poor cognitive outcomes, particularly in low and middle-income countries (LMICs). Objectives This study aimed to examine the cognitive and academic deficits during the school-age years in children born preterm or SGA compared with those in children born term adequate for gestational age (AGA) in rural Vietnam. Methods Children born to women in a preconception micronutrient supplementation trial in Vietnam were classified into 3 groups: preterm AGA (n =138), term SGA (n =169), and term AGA (n = 1134). Cognitive abilities were assessed using the Wechsler Intelligence Scale for Children, measuring 4 domains [verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI) scores] and full-scale intelligence quotient (FSIQ) at 6–7 and 10–11 y. Academic achievement was assessed with mathematic and language tests. Analysis of variance and multiple regression models were used to analyze differences in cognitive function and academic achievement at 6–7 and 10–11 y by birth phenotypes. Results Compared with term AGA children, those born SGA had lower cognitive scores at both 6–7 y (VCI, −2.3; PRI, −3.7; PSI −2.1; and FSIQ, −2.9) and 10–11 y (VCI, −3.7; PRI, −3.5; WMI, −2.7; PSI, −1.9; and FSIQ, −3.9). Children born SGA also had poorer academic achievement with lower language (5.3) and mathematic (2.5) scores. Adjustments for maternal factors and home environment attenuated the associations, but the differences in VCI, PRI, FSIQ, and language at 10–11 y remained significant. There were no differences in cognitive function and academic achievement between children born preterm and AGA. Conclusions Our findings highlight the enduring association of birth phenotype on cognitive functioning and academic achievement during the school years, despite adjustments for maternal education and family environment. Further research is needed to implement effective interventions to improve birth outcomes and optimize child health and development in LMICs. The trial was registered at clinicaltrials.gov as NCT01665378 (URL: https://clinicaltrials.gov/ct2/show/NCT01665378).

Beyond the consumer food price index: Measuring the cost of a healthy diet in India

Learning together for groundwater management: A case of the Devnadi Basin, Nashik, Maharashtra, India

This paper documents the process of co-learning spaces for transdisciplinary learning for participatory groundwater and ecosystem management across research-practice-community collectives in the Devnadi River Basin, Sinnar Block of Nashik District in Maharashtra, India. The Devnadi river supported a groundwater-dependent ecosystem, but now flows for less than four months in a year due to excessive groundwater depletion. A group model building workshop was designed to build a collective vision among experts and community members, create shared ownership and set the tone for transdisciplinarity in understanding groundwater management. This could be an additional tool in a Participatory Groundwater Management toolbox. This process involved surfacing values and mental models through participatory Causal Loop Diagram building. The actors included hydrologists, hydrogeologists, ecologists, agricultural value chain experts, and community leaders. In a process of answering questions participants were working towards combining diverse knowledge(s) and values into equitable and effective collective action to gain shared benefits from a complex, contested, and often poorly understood resource.

Food security amid the COVID-19 pandemic in Central Asia: Evidence from rural Tajikistan

Food security has been long understudied in the context of Central Asia. We present an analysis examining household-level food demand for Tajikistan and assessing the magnitude of its food security changes during the COVID-19 pandemic. Based on an extensive household survey data set from Tajikistan, we estimate the expenditure, income, and price elasticities for nine food categories using the QUAIDS model. Then, we develop a microsimulation model using the estimated elasticities to assess the dual impact of declining remittance income and rising food prices stemming from the pandemic shock. There are significant differences in demand elasticities across food groups, with high elasticities observed for nutritious foods, such as meat, fruit, eggs, and milk, in rural households. Moreover, our findings show that changes in remittance income and food prices significantly negatively affected food security for rural households during the COVID-19 pandemic. These findings have important implications for policymakers concerned about rural livelihoods and food security in remittance-receiving economies during the post-pandemic period.

Global food value chains and obesity in low- and middle-income countries

Low- and middle-income countries (LMICs) are experiencing disproportional increases in overweight or obesity rates. Parallel to this trend, many LMICs are witnessing significant growth in their participation in global food value chains (GFVCs). This paper aims to shed light on the public health implications of increasing participation in GFVCs. Leveraging macro- and micro-level data spanning 25 years, we study the relationship between countries’ participation in GFVCs and women’s overweight or obesity rates. We explore heterogeneous implications by disaggregating countries’ participation into backward and forward linkages in GFVCs, as well as across rural and urban areas. We find that temporal increases in countries’ participation in GFVCs are significantly associated with increasing overweight or obesity rates, primarily when countries participate in backward linkages and for urban populations. Participation in GFVCs involving forward linkages appears to have negligible implications, and the relationship between participation in GFVCs and obesity disappears for rural women. Furthermore, we find that an increase in countries’ participation in GFVCs is associated with an increase in consumption of energy-dense foods such as sugar, commonly linked with obesity. Our findings have important implications for informing public policies aimed at addressing the increasing obesity rates and associated economic and health burdens in LMICs. JEL Codes: F13, I10, Q17, Q18

The causal effect of early marriage on women’s bargaining power: Evidence from Bangladesh

Early marriage restrains women’s agency and bargaining strength in postmarital households, impairing their ability to make meaningful contributions to household decision making. This paper employs a comprehensive measure of women’s empowerment in the domestic and productive spheres, and isolates the causal effect of age at marriage, instrumented by age at menarche, on their bargaining strength, using nationally representative data from Bangladesh. Results suggest that delayed marriages result in significantly higher empowerment scores and probability of being empowered for women, because of higher likelihood in achieving adequacy in their autonomy in agricultural production, control over income, ownership of assets and rights in those assets, and ability to speak in public. Favorable impacts of delayed marriage are also found on women’s freedom of mobility, fertility choices, and their ability to decide on household expenses and investments, with the impacts likely coming via improvements in education and labor market outcomes when women married later.

School meals are evolving: Has the evidence kept up?

School meal programs are popular social programs. They are provided to 61 percent of primary students in high-income countries but to a smaller share of students in less wealthy countries. There is a body of evidence documenting their contribution to education, health and nutrition, and social protection. But in each domain, program objectives have evolved: schooling is recognized to be more about learning than grades obtained; nutrition goals include healthy diets that reduce risks of non-communicable diseases and are more environmentally responsible; social protection programs aim to respond to acute crises and address chronic poverty. In addition to assisting in these sectors, school meal programs are tasked with creating food systems that assist smallholder farmers, an endeavor that has yet to be extensively studied. This review examines the latest evidence on these evolving dimensions of school meal programs. Findings suggest that while there is a strong evidence base for school meals, there are also specific gaps in the evidence of effectiveness and a particular lack of clarity around costs. The country-led School Meals Coalition, developed in response to COVID pandemic-related school closures, has brought new momentum to national programs and new urgency for reliable evidence on effectiveness and costs.