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.

Recently developed cost and affordability of healthy diet (CoAHD) metrics have quickly become mainstream food security indicators. However, published research on the sensitivity of estimation methods is limited. This paper focuses on two important innovations in CoAHD measurement at the global level. First, we develop a demographic scaling factor to adjust healthy diet costs for cross-country differences in age structures, since younger populations generally require fewer calories than older populations. Second, we improve the way in which household expenditure available for purchasing food ("food budgets") are derived. In addition, we explore sensitivity of global CoAHD estimates to potential problems with the representativeness and food product coverage of global food price data and vary assumptions for activity levels that shape energy expenditure requirements. We apply these explorations to the EAT- reference diet in 137 countries using price data from 2017. Relative to the conventional methods, we find that demographic scaling and improved food budget derivation substantially reduces the estimated population who cannot afford a healthy diet, from 3.02 to 2.13 billion. Adjustments for low product coverage can lead to modest reductions for specific regions and food groups, while higher physical activity assumptions increase the share of people who cannot afford a healthy diet, though perhaps implausibly so. Methods clearly matter in CoAHD estimation, and more accurate and timelier CoAHD estimates have substantial scope to improve policy analysis, design and targeting.

The affordability of nutritious food for "all people, at all times" is a critically important dimension of food security. Yet surprisingly, timely high-frequency indicators of food affordability are rarely collected in any systematic fashion despite price volatility emerging as major source of food insecurity in the 21st Century. The 2008 global food crisis prompted international agencies to invest heavily in monitoring domestic food prices in low and middle income countries (LMICs). However, food price monitoring is not sufficient for measuring changes in diet affordability; for that, one must also measure changes either in income or in an income proxy. We propose using the wages of unskilled workers as a cheap and sufficiently accurate income proxy, especially for the urban and rural non-farm poor. We first outline alternative measures of "food wage" indices, defined as wages deflated either by consumer food price indices or novel healthy diet cost indices. We then discuss the conceptual strengths and limitations of food wages. Finally, we examine patterns and trends in different types of real food wage series during well-known food price crises in Ethiopia (2008, 2011 and 2022), Sri Lanka (2022) and Myanmar (2022). In all these instances, food wages declined by 20-30%, often in the space of a few months. In Myanmar, the decline in real wages during 2022 closely matches declines in household disposable income. We strongly advocate tracking the wages of the poor as a timely, accurate and cost-effective means of monitoring food affordability for important segments of the world's poor.

Wheat is a vital cereal crop for smallholders in Ethiopia. Despite over fifty years of research on wheat varietal development, consideration of gendered trait preferences in developing target product profiles for wheat breeding is limited. To address this gap, our study used sex-disaggregated survey data and historical rainfall trends from the major wheat-growing regions in Ethiopia. The findings indicated heterogeneity in trait preferences based on gender and rainfall endowment. Men respondents tended to prefer wheat traits with high straw yield and disease-resistance potential, while women showed a greater appreciation for wheat traits related to good taste and cooking quality. Farmers in high rainfall areas seemed to prioritize high straw yield and disease resistance traits, while those in low rainfall areas valued good adaptation traits more highly. Most of the correlation coefficients among the preferred traits were positive, indicating that farmers seek wheat varieties with traits that serve multiple purposes. Understanding men's and women's preferences and incorporating them in breeding and seed systems could contribute to the development of more targeted and effective wheat varieties that meet the diverse needs of men and women farmers in Ethiopia.

Dairy products have an exceptionally rich nutrient profile and have long been promoted in high income countries to redress child malnutrition. But given all this potential, and the high burden of undernutrition in low- and middle-income countries (LMICs), why isn't dairy consumption more actively promoted in the developing world? In this review we focus on a broadly defined concept of "dairy development" to include production, trade, marketing, regulation, and demand stimulation. We address three key questions. First, how strong is the evidence on the importance of dairy production and consumption for improving nutrition among young children in LMICs? Second, which regions have the lowest consumption of dairy products? Third, what are the supply- and demand-side challenges that prevent LMICs from expanding dairy consumption? We argue that although more nutrition- and consumer-oriented dairy development interventions have tremendous potential to redress undernutrition in LMICs, the pathways for achieving this development are highly context-specific: LMICs with significant agroecological potential for dairy production primarily require institutional solutions for the complex marketing challenges in perishable milk value chains; lower potential LMICs require consumer-oriented trade and industrial approaches to the sector's development. And all dairy strategies require a stronger focus on cross-cutting issues of nutrition education and demand creation, food safety and quality, gender and inclusiveness, and environmental sustainability and resilience. We conclude our review by emphasizing important areas for research and policy expansion.

There is growing evidence on the impacts of site-specific nutrient management (SSNM) from Asia. The evidence for Sub-Saharan Africa (SSA), where SSNM developments are more recent and where conditions concerning soil fertility and fertilizer use differ importantly from those in Asia, is extremely scarce. We evaluate a SSNM advisory tool that allows extension agents to generate fertilizer recommendations tailored to the specific situation of an individual farmer's field, using a three-year randomized controlled trial with 792 smallholder farmers in the maize belt of northern Nigeria. Two treatment arms were implemented: T1 and T2 both provide SSNM information on nutrient use and management, but T2 provides additional information on maize price distributions and the associated variability of expected returns to fertilizer use. We estimate average and heterogenous intent-to-treat effects on agronomic, economic and environmental plot-level outcomes. We find that T1 and T2 lead to substantial increases (up to 116%) in the adoption of good fertilizer management practices and T2 leads to incremental increases (up to 18%) in nutrient application rates, yields and revenues. Both treatments improve low levels of nutrient use efficiency and reduce high levels of greenhouse gas emission intensity, after two years of treatment. Our findings underscore the possibility of a more gradual and sustainable intensification of smallholder agriculture in SSA, as compared with the Asian Green Revolution, through increased fertilizer use accompanied by improved fertilizer management.

Recent literature suggests that agricultural value chains are changing rapidly and places an increasing focus on the importance of actors and activities taking place in the "midstream" of these value chains, after production and prior to final sale. This article discusses the financial needs of midstream actors in agricultural value chains, emphasizing differences across midstream activities and highlighting how value chain characteristics can influence both financial needs and potential remedies. The paper concludes with a brief discussion of the prospects of digital financial services and policy levers for government actors in this space.

We assess whether ownership of dairy cows is associated with a greater likelihood of consuming dairy products and with child anthropometric status in rural Bangladesh. Consistent with the assumption of imperfectly functioning markets for dairy products, ownership of dairy cows increases the likelihood that a child 6-59 months consumes milk by 7.7 percentage points with no difference in this association between boys and girls. This association nearly doubles in magnitude when we consider households that own a dairy cow that produced milk in the last year. This result is robust to the controls we use and the way in which we measure dairy cow ownership. Even when we saturate our model with child, maternal, household, wealth, as well as village fixed effects, we retain an association between dairy cow ownership and height-for-age z scores (HAZ) that is meaningful in magnitude - 0.13 standard deviations - and statistically significant at the one percent level. For children in the 12-23.9 month age group, ownership of a dairy cow is associated with a 0.37 SD increase in HAZ and a reduction of 11.3 percentage points in stunting. There is no statistically significant association with weight-for-height or wasting. These associations do not differ between boys and girls.

Development programs often rely on locally hired agents for service delivery, especially for interventions promoting agricultural practices, health, and nutrition. These agents are key to reaching underserved communities, especially women, with information and services around recommended practices. However, where societies are socially stratified, differences in ethnic identities between agents and beneficiaries may impact the effectiveness of information and service delivery and the uptake of recommended behaviors. We explore the salience of shared ethnic identity between agents and beneficiaries in promoting collective action using a field experiment with women's self-help groups (SHGs) in India. We cross-randomize an information treatment and a group-agent shared ethnicity treatment at the SHG level. We measure impacts on individual group member information retention and willingness to contribute to a group-owned kitchen garden that could improve access to a diverse and nutritious diet. We find information retention is better when the group is matched with an agent lower in the ethnic hierarchy, but that agents higher in the hierarchy elicit greater individual contributions to the group-owned kitchen garden. We suggest some hypotheses for these seemingly contradictory results. Other characteristics like education, group cohesion and perceived agent ability also matter in changing knowledge and contribution. Our findings have important implications for effective program design and implementation, suggesting that implementers need to consider factors beyond the information content, target group and pedagogical mode of delivery for their strategies to be transformative.

A transition from low-input subsistence farming in Sub-Saharan Africa will require the use of yield-increasing agricultural technologies. However, in developing countries, most farmers continue to rely heavily on pest-infested and disease-infected recycled seed from own or local sources leading to low yields. This study used a field experiment to examine the effect of a social incentive combined with goal setting on the diffusion of agricultural knowledge and uptake of quality certified seed by farmers. We relaxed the seed access and information/knowledge constraints by introducing improved varieties of sweetpotato in the study villages and providing training to carefully selected progressive farmers who were then linked to co-villagers. We find that social incentives combined with goal setting reduced the likelihood of the trained progressive farmers reaching out to co-villagers to share information and discuss farming. Further, social incentive combined with goal setting had no significant effect on knowledge and experimentation by progressive farmers, and on willingness to pay for improved seed - as elicited through auctions, our proxy for experimentation, by co-villagers. These findings suggest that the combination of goal setting and public recognition acted to crowd-out diffusion effort. We conclude that social incentive combined with goal setting by established progressive farmers already enjoying a certain degree of public recognition is not sufficient to induce effort in learning and experimentation with agricultural innovations. These results have implications for design of policy and extension services to promote adoption of agricultural technologies with proven food and nutrition security benefits in developing countries.

We use a randomized controlled trial in rural Bangladesh to compare two models of delivering nutrition content jointly to husbands and wives: deploying female nutrition workers versus mostly male agriculture extension workers. Both approaches increased nutrition knowledge of men and women, household and individual diet quality, and women's empowerment. Intervention effects on agriculture and nutrition knowledge, agricultural production diversity, dietary diversity, women's empowerment, and gender parity do not significantly differ between models where nutrition workers versus agriculture extension workers provide the training. The exception is in an attitudes score, where results indicate same-sex agents may affect scores differently than opposite-sex agents. Our results suggest opposite-sex agents may not necessarily be less effective in providing training. In South Asia, where agricultural extension systems and the pipeline to those systems are male-dominated, training men to deliver nutrition messages may offer a temporary solution to the shortage of female extension workers and offer opportunities to scale and promote nutrition-sensitive agriculture. However, in both models, we find evidence that the presence of mothers-in-law within households modifies the programs' effectiveness on some nutrition, empowerment, and attitude measures, suggesting that accounting for other influential household members is a potential area for future programming.

Agricultural and food policies are increasingly being tasked with doing more to improve the nutritional status of low-income populations, especially reductions in child stunting. Which specific food sectors warrant additional policy attention is less clear, although a growing body of research argues that increased animal-sourced food consumption in general, and increased dairy consumption specifically, can significantly reduce the risks of stunting, as well as deficiencies in micronutrients and high quality protein. However, experimental research on dairy's impacts on child growth in developing countries is very limited, and non-experimental evidence is confined to cross-sectional surveys. In this study we adopt a more macro lens by using a cross-country panel to show that increases in milk consumption over time are associated with large reductions in child stunting even after controlling for important confounding factors. Countries with high rates of stunting should therefore consider nutrition-sensitive strategies to increase dairy consumption among young children through both supply- and demand-side interventions.

Translating agricultural productivity into food availability depends on food supply chains. Agricultural policy and research efforts promote increased horticultural crop production and yields, but the ability of low-resource food supply chains to handle increased volumes of perishable crops is not well understood. This study developed and used a discrete event simulation model to assess the impact of increased production of potato, onion, tomato, brinjal (eggplant), and cabbage on vegetable supply chains in Odisha, India. Odisha serves as an exemplar of vegetable supply chain challenges in many low-resource settings. Model results demonstrated that in response to increasing vegetable production 1.25-5x baseline amounts, demand fulfillment at the retail level fluctuated by + 3% to -4% from baseline; in other words, any improvements in vegetable availability for consumers were disproportionately low compared to the magnitude of increased production, and in some cases increased production worsened demand fulfillment. Increasing vegetable production led to disproportionately high rates of postharvest loss: for brinjal, for example, doubling agricultural production led to a 3% increase in demand fulfillment and a 19% increase in supply chain losses. The majority of postharvest losses occurred as vegetables accumulated and expired during wholesale-to-wholesale trade. In order to avoid inadvertently exacerbating postharvest losses, efforts to address food security through agriculture need to ensure that low-resource supply chains can handle increased productivity. Supply chain improvements should consider the constraints of different types of perishable vegetables, and they may need to go beyond structural improvements to include networks of communication and trade.

COVID-19 has resulted in a shock to agrifood systems around the world, with the potential for low- and middle-income countries to be particularly affected. Although policy responses were more muted than during the 2007-2008 world food crisis, efforts to insulate from supply shocks and ensure local availability during COVID-19 have generally included export restrictions and import tariff reductions, among other responses. In an effort to enable rapid market monitoring and realignment, we develop a new indicator defined as a monthly nominal rate of protection "express" which seeks to indicate how policies enacted are affecting prices domestically in real-time in order to understand how they responded. This analysis examines changes to this indicator during the first two years of the pandemic in 24 low- and middle-income countries for the most-consumed staple cereals of the poor and food insecure. We show that gaps between domestic and international prices declined by a median of 20.3 percentage points compared to the same months in recent previous years. While policies were enacted to mitigate price increases that would have eventually been transmitted to poor consumers, other factors related to international demand and supply chain disruptions may also have contributed to the observed trend in the analyzed countries. Moreover, impacts on prices varied across countries and commodities, depending on region, net trade, and previous gap levels. Finally, this indicator can contribute to examining primary drivers of changes and conducting causal analysis to facilitate adequate agrifood policy responses to support economic recovery in the post-COVID-19 era.

A growing literature uses least-cost diets to evaluate how effectively a food system supports access to nutritious foods. We identify the cost of meeting nutrient requirements for whole households in rural Malawi from and the nutrient-level drivers thereof. From 2013 to 2017, we can identify a household least-cost diet only 60% of the time with an average cost of $2.32/person/day (2011 US$ PPP). We illustrate that larger households have more diverse nutrient needs and face a higher cost for 1000 calories of a sufficiently nutrient dense diet. Shadow price analysis shows riboflavin to be the costliest nutrient in the market. We use policy scenarios to understand what drives the infeasibility and high cost. Simulating the impact of selenium soil biofortification of maize results in a feasible diet 94% of the time at half the cost ($1.22/person/day on average) and eliminates the shadow price of copper. This is explained by insufficient selenium from sources low in copper such that under baseline conditions it is impossible to get enough selenium without too much copper. Even when feasible, to avoid copper, more higher cost foods enter the diet than would be otherwise needed to meet remaining nutrient requirements. Other value chain scenarios to increase the availability and lower the cost of nutrient-dense foods did not meaningfully change the diet cost results. Of direct relevance to Malawi, this study demonstrates more broadly how least-cost diet methods can be used to assess barriers to accessing an adequate diet and the potential impacts of policy options.

Sub-Saharan African countries experience various market failures and other constraints in food production, marketing, and food consumption. Consequently, sub-Saharan Africa governments have put in place a myriad of policies to counter these failures. Agricultural, food and nutrition policies address nutrition outcomes, such as hunger, undernourishment, wasting, stunting, child mortality, inadequate food consumption, food insecurity, and volatile food prices, thus improve nutrition outcomes among the population. However, malnutrition persists among the population in the region. To mitigate this challenge, informed, evidence-based policy development and implementation by policy practitioners is of essence. The solutions to the double burden of undernutrition and obesity cut across the agriculture, rural development, and public health sectors. This essay introduces twenty papers of this Special Issue of the Food Policy journal which analyzes 8 policy domains, contributes to the debate on the linkages and pathways through which policies influence food security, nutrition outcomes, and related indicators and points to policy directions in these domains.

The outbreak of COVID-19, and the national-level lockdown to contain it, were expected to disrupt supply chains, lead to livelihood loss, and reduce household income. Studies anticipated a decline in food security in India, leading to a near famine-like situation. In this study, we examine the change in Dietary Score (number of food groups consumed out of a possible eight) and proportion of respondents complying with Minimum Dietary Diversity norms (consuming at least four food groups) among women aged 15-49 years and their youngest child (aged between 7 and 36 months) during the lockdown. The present study also analyses whether ownership of ration cards and contacts with the party in power locally helped the household to tide over the crisis. The data was collected through a two-phase primary survey undertaken in January-March 2020 (pre-lockdown period) and October-November 2020 (post-lockdown period). It was undertaken in six districts of Bihar, a state with a history of poor maternal and child health outcomes and dysfunctional delivery of health services. We find that dietary practices of women deteriorated, while that of children remained the same. The deterioration is less among households owning ration cards or having political contacts. The analysis suggests that, during pandemics or similar crisis periods, the need to supplement the supply of staple items through the Public Distribution System with a direct transfer of cash will allow households to maintain diversity in the consumption basket.

Many governments aim to mitigate health risks by attacking nutritional failures. In this article, we exploit a unique natural experiment, the COVID-19 pandemic as an exogenous public health shock, to estimate the learning effects of intensive health information campaigns on nutrient intake during the pandemic. Using data from nearly-one million food purchases in China, our empirical findings strongly support the learning effect in explaining improvements in nutrient intake in the post-COVID-19 period. We conclude that when public health shocks occur, policy makers can boost relevant learning mechanisms by promoting information and education to improve individuals' awareness of preventive health behaviors of a more permanent nature, which can lead to health improvements in a society.

We investigated the operation of e-stores specializing in food and agricultural products before and after the occurrence of COVID-19. A difference-in-difference (DID) method was employed to estimate the relationship between COVID-19 and the online sales of agricultural products using data from 164,002 food and agricultural product e-commerce stores (in short, e-stores) of two major Chinese e-commerce platforms in 120 prefectural-level or above cities. The results demonstrated that while COVID-19 and its control measures were associated with a substantial growth in the monthly sales of food and agricultural product e-stores, the growth varies considerably across store scales and with the type of food and agricultural product in which an e-store is specialized. Micro stores experienced much larger growth and played a more important role in maintaining the resilience of the supply chain of food and agricultural products than larger-scale stores; stores selling more essential food items experienced larger growth than those selling leisure food items. A mechanism analysis further revealed that the growth of online sales of agricultural products was mainly driven by changes in consumers' food purchase behaviors from offline channels to online channels (i.e., an increase in the number of online customer orders and price per online order) starting with the onset of COVID-19. The results of this paper underscore the importance of e-commerce in maintaining the resilience of the agri-food supply chain and call for public support of the development of micro- and small-scale e-stores to meet consumers' increasing demand for food supply from those types of stores during the pandemic period.

Food security and adequate nutrition are critical for achieving progress toward sustainable development. Two billion people worldwide experience moderate to severe food insecurity, and rates of hunger have increased over the past several years after declining steadily for decades. The FAO attributes this increase in large part to climate change, though empirical evidence on the relationship between climatic conditions and food security remains limited. We examine this question by linking nationally representative longitudinal data from four rounds of the Tanzania National Panel Survey to high-resolution gridded climate data. We then estimate a set of fixed effects regression models to understand the linkages between recent rainy season precipitation and temperature and two indicators of household food security: Food Consumption Score (FCS) and reduced Coping Strategies Index (rCSI). We find that low rainfall-particularly dry and cool conditions-is negatively associated with food security. Moving from a typical rainfall year to a particularly dry one increases the risk of being food insecure on both measures simultaneously by 13-percentage points. This suggests that a lack of rainfall impedes households' ability to access food, likely through reduced agricultural production and increased food prices, leading to lower dietary diversity and food shortages. Vulnerability is higher among households with fewer working age members, suggesting that households with a greater supply of labor can better withstand droughts. As climate change alters precipitation and temperature patterns over the coming decades, policies to increase resilience will be critical for improving food security, particularly among populations heavily reliant on agriculture.

During the COVID-19 pandemic, U.S. consumers witnessed changes in the volume and type of meat products available at retail and food service markets. Simultaneously, widening farm-to-wholesale price spreads fueled calls for industry change and several related policy proposals. The objective of this study is to document fed cattle slaughter and evaluate the structure and performance of the beef processing industry during the early stages of the COVID-19 pandemic. For major beef-producing regions, the 2019-2020 change in federally inspected U.S. cattle slaughter volumes varied in isolated instances with regional reliance on larger processing facilities. Implications of this are discussed both for current policy and industry discussions, as well as to encourage additional future research.