Food environment in the United States as a complex economic system

The food environment in the United States is complex. Sixteen socio-economic-demographic variables from various public data sources are studied with a machine learning algorithm to ascertain the causality structure associated with the food environment in the United States. High levels of unemployment and poverty are direct causes of high levels of food insecurity, while low income causes high levels of food insecurity via increased levels of poverty. Unemployment is a common cause for both increased levels of food insecurity and poverty. We find that food insecurity and participation in Supplemental Nutrition Assistance Program (SNAP) are related, yet no direct causality is observed. Contrary to past studies which find that SNAP participation decreased the occurrences of poverty, in contemporaneous time, we find that poverty and SNAP participation are related through several back-door paths, via food insecurity, unemployment, race and food taxes. Obesity and SNAP participation are indirectly related via several back-door paths, namely, race income, poverty and food insecurity and unemployment. Also, food insecurity and obesity are related by several back-door paths. Low income, high food taxes, and race (being Black and non-Hispanic) are direct causes of obesity. The complex causality structure in the US food environment reveals that policy variables cannot be treated independently of their rich causal structure. Government agencies responsible for designing policies for food assistance, poverty alleviation, combating food insecurity and obesity need to consider the interrelationships among these variables.     

The impact of a food security program on household food consumption in Northwestern Ethiopia: A matching estimator approach

With the financial support from various development partners, Ethiopia has designed and implemented several programs to improve household food security. Yet, food insecurity is still a major challenge to several millions of people in the country and it is questionable whether the different food security programs implemented over the past years have been successful. Using a propensity score matching method to control for pre-intervention differences, this study examined the impact on household food calorie intake of an integrated food security program (IFSP), which had been implemented in Northwestern Ethiopia by two non-governmental organizations as a case study. The estimated results provide evidence that IFSP has a positive and statistically significant effect on food calorie intake. In particular, IFSP has raised physical food calorie intake by 30% among the beneficiary households. However, we also found that IFSP has differential impact depending on family size, landownership and gender of head of household. Overall, the paper provides evidence that supporting integrated food security programs is important to improve food security in rural areas.     

Household history,SNAP participation,and food insecurity

Food security in an important public policy issue. In 2015, approximately 1 in 8 U.S. households experienced food insecurity at some point in the year. Low-income families are at higher risk for food insecurity than other families, and these families may also face higher levels of disruption (e.g., moves, loss of income, or individuals entering or leaving the household) than other families. I use data from the Survey of Income and Program Participation to explore the relationship between food insecurity, the household’s history during the previous year, and SNAP participation. The results indicate that a number of aspects of the household’s recent experience including negative income shocks, moves, and both increases and decreases in household size increase the probability of being food insecure while SNAP participation is estimated to reduce the probability of being food insecure.     

Likely effects on obesity from proposed changes to the US food stamp program

Some have suggested that the US food stamp program (FSP) should be revised with a view to combating obesity among the poor. In this paper, we assess the likely impacts of allowing FSP participants to purchase only healthy foods when using food stamps. Our results indicate that FSP participants would probably increase their consumption of healthy food, but the implications for their purchases of unhealthy food are not clear. Market-wide consequences are even less clear, because changing what may be purchased using food stamps would lead to higher prices for healthy foods and lower prices for unhealthy foods and these price effects would feed back into consumer decisions, with adverse effects on consumption patterns of both participants and non-participants in the FSP. In addition, more restrictive rules on the use of food stamps would discourage participation in the FSP. We conclude that, while reforming the FSP may indeed to lead to better diets among participants, it is likely to be an ineffective and inefficient instrument for bringing about desired nutritional outcomes unless accompanied by additional policy instruments.     

Yield effects of climate-smart agriculture aid investment in southern Malawi

Binding resource constraints in many low- and middle-income countries aggravate food insecurity risk in the face of climate change. To help mitigate such risk and increase food security, international development agencies have invested billions of dollars in climate-smart agriculture (CSA) programs over the past decade. However, rigorous evidence on the food security impacts of CSA aid through crop yields remains scant generally, and specifically in sub-Saharan Africa. Most studies have not explicitly linked CSA adoption and yield impacts with CSA aid interventions among smallholder farmers. Here, we respond to this knowledge gap by estimating the impact of a major CSA aid effort (the United States Agency for International Development-funded Wellness and Agriculture for Life’s Advancement (WALA) project) on agricultural yields in Southern Malawi. Based on primary survey data from a sample of 808 households in the project area, we use endogenous switching regression and a control function approach to estimate CSA adoption and impacts on maize yield in 2016, controlling for potential program placement bias, selection bias in CSA adoption, and endogeneity issues. We found a 53% increase in maize yield among CSA adopters in the drought year of 2016. Results demonstrate that policies and funding streams supporting CSA in low-income, dryland contexts such as southern Malawi can have important impacts on food security by boosting crop yields in the face of increasing climate uncertainty and extreme weather shocks.     

What explains gender differences in food insecurity?

There is a rich literature devoted to the role women play in ensuring the food security of the household and other household members. However, relatively little attention has been paid to their own food security situation. The challenge with investigating the food security of women is that most surveys collect food security data at the household level making inferences about individual-level food security difficult. Using a large international sample of individual-level data and the first global experiential measure of food insecurity, I show that women have a higher probability of being food insecure relative to men. The magnitude of the gender gap in food insecurity varies across regions and varies by the severity level of food insecurity. In the developed countries of the European Union, women are 4.7 percentage points more likely than men to experience some form of food insecurity. In the poor countries of South Asia and Sub-Saharan Africa, women are two percentage points more likely than men to be severely food insecure. Using a modification of the Blinder-Oaxaca decomposition technique, I find that gender differences in household income, educational attainment, and social networks explain the majority of the gender gap in food insecurity. However, in some regions, namely South Asia and Australia/New Zealand, gender differences in observable characteristics fail to account for gender differences in food insecurity. This analysis suggests that policies that address gender inequality in employment opportunities and educational attainment may also impact food insecurity.     

Does SNAP improve your health?

In this study, we examine the effect of SNAP on health quite generally, examining self-assessed health (SAH), healthy time, and basic health utilization measures as outcomes. Our approach is to model outcomes and participation simultaneously, using exogenous variation in state eligibility to identify SNAP participation. We use this approach for both ordered choices (health) and count outcomes (sickdays, office-based visits, outpatient visits), where the former uses maximum likelihood and the latter maximum simulated likelihood. In addition, we control for state-level unobservables that are correlated with both participation and health, which previous studies of this question have neglected. Our results indicate that SNAP has an consistently positive effect on SAH; it significantly increases the probability of reporting excellent or very good health. We also find that SNAP participants spend about 3 fewer days in bed due to illness each year, and report between 1 and 2 fewer office-based doctor visits and a fraction fewer outpatient visits. Supplementary specifications indicate that, although SNAP participants consume fewer office visits overall, they have more checkups than comparable non-participants.     

Differences in food insecurity between adults and children in Zimbabwe

Food insecurity is a serious challenge facing millions of households across Africa. Within these households, distinguishing the incidence of food insecurity between adults and children is often difficult because most surveys rely on the reports of adults. In this paper, we address this shortcoming of previous work by using a survey from over 6000 households in Zimbabwe where interviews were conducted with both an adult caregiver and a child. Using two measures of food insecurity, we find that reports of adults and children differ within households with lower reports of food insecurity among children, with children in the youngest age groups particularly being protected from food shortages. An exception to this general rule, though, is in better-off households where children are often more likely to be food insecure than adults. Findings also demonstrate the need for multiple measures to comprehensively capture the full picture of food insecurity in the household.     

Land consolidation,specialization and household diets: Evidence from Rwanda

Despite rapid population growth, increasing land pressure and urbanization, farmers in Sub-Saharan Africa have not intensified their production in a sustainable manner and farming systems remain predominantly subsistence-oriented. In response, developing country governments increasingly implement programs that promote crop intensification and more commercially-oriented agricultural systems. Rwanda’s Crop Intensification Program (CIP), launched in 2007, is one such example. However, despite its apparent success in raising production of several priority crops, there are legitimate concerns about the food and nutrition security implications for households that are encouraged to consolidate their land, specialize in their production, and increasingly rely on markets for their food needs. Using recent household survey data and a propensity score matching difference-in-differences method, we find that participation in land consolidation activities had ambiguous consumption effects: it positively impacted on consumption of roots and tubers, but had a negative effect on meat, fish and fruits consumption and the potential availability of vitamin B12 in participants’ diets. This calls for a review of CIP implementation practices to enhance the program’s food and nutrition security outcomes, with improvements in market functioning and market access being potential starting points.     

Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers

Food traceability systems allow the consumers or administrative authorities to trace the origins or ingredients of food products. Given the expressed concerns for food safety, the promotion of food traceability systems has occurred in many countries. Although a considerable body of literature has examined the consumer responses in regard to food traceability, relatively little is known about the producers’ adoption behaviors. To fill this knowledge gap, this paper investigates Taiwanese farmers’ participation decision in relation to the Taiwan Agriculture and Food Traceability (TAFT) program; special attention is paid to understanding the roles of the farmers’ program awareness and pesticide residue testing adoption in regard to TAFT participation. Using a national representative sample of the fruit and vegetable farmers in Taiwan, the results indicate that program awareness and pesticide residue testing adoption are the significant determinants of TAFT participation. An awareness of the government’s promotion of the TAFT program and adoption of pesticide residue testing has significantly reduced TAFT non-participation by 28.2% and 21.9% points, respectively.     

Evaluation of USDA's Broadband Loan Program: Impacts on broadband provision

Since 2002 the USDA's Broadband Loan Program has directed more than $1.8 billion in subsidized loans to help expand broadband access in under-served rural communities. Program eligibility criteria included having a population of 20,000 or fewer, having no prior access to broadband, and providing a minimum matching contribution of 15% by recipients of the loan. Loans were extended mainly to small telecommunications services firms at varying (subsidized) interest rates. We evaluate on the effectiveness of the Loan Program in increasing broadband availability in target locations. Specifically, we analyze whether loan receipt increases the number of broadband providers in a particular location, using various count panel methods. Our analysis is conducted at the ZIP code level over the period 1999–2008; it uses broadband provider data from the FCC's Form 477, and loan data from the Rural Utility Service (the implementing agency for the Broadband Loan Program). Results indicate that ZIP codes receiving broadband loans did in fact experience modest, statistically significant increases in the number of broadband providers vis-à-vis non-recipient locations; that average marginal effects on treated ZIP codes were approximately 0.092 additional broadband providers annually; and that these benefits accrued more towards rural locations than urban locations, in conformance with the intent of the program.     

The heterogenous relationship of food stamp participation with body mass: Quantile regression model

This study explores the heterogenous relationship between Food Stamp Program (FSP) participation and body mass index (BMI) for low income individuals whose per capita family income falls in the bottom two quintiles. We estimate changes in the dispersion of the entire distribution of BMI following FSP participation using a quantile regression model in both cross-sectional and longitudinal analyses. For women, we find that the mean OLS estimate of FSP participation underestimates the extent of the positive association with BMI at the top quantiles in both cross-sectional and longitudinal individual fixed effects models. Controlling for individual fixed effects in the quantile regression model reduces the estimated magnitude of the association by a factor of three to four, although the estimates remain statistically significant for women. For men, a marginally statistically significant positive association of FSP participation with BMI is found at the top quantiles compared to no statistically significant mean estimate although the association is no longer statistically significant when time-constant individual heterogeneity is adjusted for in the individual fixed effect models.     

Food insecurity,gender, and international migration in low- and middle-income countries

The determinants of migration have been widely studied but research has rarely addressed the roles of food insecurity and gender in the migration decision process. To address these gaps, we examine these relationships for 135,078 individuals across 94 low- and middle-income countries. We use a series of binary-choice models with sample selection and data from the 2014–2015 waves of the Gallup World Poll Survey, which includes the first global measure of individual-level food insecurity. Results, which are robust, indicate that food insecurity is an important determinant of both migration intentions and preparations, and the probability of migration intentions increase monotonically with the severity of food insecurity, and the probability of migration preparations decrease. These relationships also differ significantly by gender and level of gross national income. Evidence suggests a need for increased coordination between the international food security and migration policy agendas.     

How do indicators of household food insecurity measure up? An empirical comparison from Ethiopia

Renewed emphasis on programs and policies aimed at enhancing food security has intensified the search for accurate, rapid, and consistent indicators. Measures of food security are urgently required for purposes of early warning, assessment of current and prospective status of at-risk populations, and monitoring and evaluation of specific programs and policies. Different measures are often used interchangeably, without a good idea of which dimensions of food security are captured by which measures, resulting in potentially significant misclassification of food insecure populations. The objective of this paper is to compare how the most frequently used indicators of food security portray static and dynamic food security among the same sample of rural households in two districts of Tigray State, Northern Ethiopia. Seven food security indicators were assessed: the Coping Strategies Index (CSI); the Reduced Coping Strategies Index (rCSI); the Household Food Insecurity and Access Scale (HFIAS); the Household Hunger Scale (HHS); Food Consumption Score (FCS); the Household Dietary Diversity Scale (HDDS); and a self-assessed measure of food security (SAFS). These indicators provide very different estimates of the prevalence of food insecurity, but are moderately well correlated and depict generally similar food security trends over time. We suggest that the differences in prevalence estimates, and in some cases the weaker than expected correlation, can be explained in three ways. First, the indicators differ in the underlying aspect of food security they attempt to capture. Second, each indicator is likely only sensitive within a certain severity range of food insecurity and these ranges do not always overlap. Third, categorization of the prevalence of food insecurity is strongly dependent on the choice of cut-off points. For valid reasons, “food insecurity” has no accepted gold standard metric against which individual indicators can be gauged, though without one it is difficult to say which indicator performs “best” in correctly and reliably identifying food insecure households. The implication is that using more than one indicator is advisable, and policy makers should be aware of what elements of food insecurity each indicator portrays.     

Does food retail access moderate the impact of fruit and vegetable incentives for SNAP participants? Evidence from western Massachusetts

ObjectivesThis study investigates whether the response of Supplemental Nutrition Assistance Program (SNAP) participants to a 30% incentive on fruit and vegetable spending varies with their access to food retailers.MethodsThe analysis exploits the random assignment of SNAP households in Hampden County, MA, to an intervention group that earned the incentive. Regression models for the impact of the incentive are augmented with measures of food retail access and interactions of random assignment status with food retail access. The main outcome—use of the SNAP benefit—is based on Electronic Benefit Transfer (EBT) card transaction records.ResultsAlthough households that lived within a mile of a participating supermarket spent approximately $2.13 or 19% more per month on targeted fruits and vegetables at participating supermarkets than households that did not live within a mile of a participating supermarket, we found no evidence that the impact of the incentive on SNAP fruit and vegetable spending varies with distance to retailers.ConclusionsThese findings imply that incentives to purchase fruits and vegetables were equally efficacious for SNAP households with high and low access to food retailers.     

Advancing a new index for measuring household vulnerability to food insecurity

This paper develops a Vulnerability to Food Insecurity Index (VFII). Currently, there is no standard indicator of vulnerability analysis in food security research, and this paper responds to this challenge. The primary objective in this paper is to demonstrate how to develop a potential indicator and establish its validity through comparison with other traditional food security indicators, such as per capita calorie consumption (PCC), food consumption score (FCS) and the coping strategy index (CPI). Structurally, Vulnerability to Food Insecurity Index is a multidimensional index of the probability of covariate shock occurring (exposure), the accumulative experience of food insecurity (sensitivity) and coping ability of households (adaptive capacity). The paper applies the index to households in southern Nigeria, using the World Bank’s generalised household panel dataset. The results show 61% of households in the study to be highly vulnerable to food insecurity, 12% mildly vulnerable and 27% not vulnerable. Traditional and single indicators, such as FCS and PCC are not good indicators of vulnerability to food insecurity whereas CPI is a better indicator of vulnerability to food insecurity compared to FCS and PCC. The VFII developed in this paper includes components of FCS, PCC, and CPI and regarding ranking, the VFII was found to be reliable. Most importantly, the analysis using the VFII reveals how dietary diversity or calorie consumption indicators can exclude some households who are vulnerable to food insecurity. The paper concluded that accurately target long-term support to vulnerable households, policymakers who seek to address the underlying causes of food insecurity cannot rely on single indicators, and for this type of goal, the VFII makes a useful contribution.     

Conflict,food price shocks,and food insecurity: The experience of Afghan households

Using nationally-representative household survey data and confidential geo-coded data on violent incidents, we examine the relationship between conflict and food insecurity in Afghanistan. Spatial mappings of the raw data reveal large variations in levels of food insecurity and conflict across the country; surprisingly, high conflict provinces are not the most food insecure. Using a simple bivariate regression model of conflict (violent incidents and persons killed or injured) on food security (calorie intake and the real value of food consumed), we find mixed associations. But once we move to a multivariate framework, accounting for household characteristics and key commodity prices, we find robust evidence that in Afghanistan levels of conflict and food security are negatively correlated. We also find that households in provinces with higher levels of conflict experience muted declines in food security due to staple food price increases relative tohouseholds in provinces with lower levels of conflict, perhaps because the former are more disconnected from markets. Gaining a better understanding of linkages between conflict and food insecurity and knowing their spatial distributions can serve to inform policymakers interested in targeting scarce resources to vulnerable populations, for example, through the placement of strategic grain reserves or targeted food assistance programs.     

Barriers and potential facilitators to the implementation of government policies on front-of-pack food labeling and restriction of unhealthy food advertising in Thailand

Thailand is experiencing an increasing burden of obesity and diet-related non-communicable diseases. The Thai government has responded by developing a number of policies to protect and promote healthy eating. In particular, in 2008, the Thai Government passed a regulation to restrict unhealthy radio and television food advertising to children (RTA). In the following year, a voluntary front-of-pack nutrition labeling policy to promote those products that had reduced their sugar, fat and/or sodium content by at least 25% (25% SFS) was passed. However, the extent of implementation of both of these policies has been poor to date. The aim of this study was to identify barriers and potential facilitators to the implementation of both the RTA and 25% SFS policies. Semi-structured interviews were conducted with 28 participants holding senior positions in government, industry and civil society organizations closely involved in the implementation of these policies. The interview data were analyzed using the thematic framework analysis approach. The major barriers to policy implementation perceived by participants were a lack of a monitoring and evaluation system, a lack of organization knowledge regarding skills required for implementation, poor governance system, lack of funding and resources, lack of effective multi-sectoral platforms, influence of the food industry, lack of clear policy content, organizational culture and structure, and changes in policy priorities. Factors that potentially facilitated implementation of these policies, as identified by participants, were policy being compatible to implementer’s context, individual support from government officials, good financial management mechanisms, inter-organization networks, and personal motivation to implementing policy. The successful implementation of policies to create healthy food environments in Thailand will likely require attention towards improving the capacity and authority of government agencies, infrastructure to support multi-sectoral platforms and inter-organizational networks, and adequate resources.     

Poverty, food security, and nutrition in Central Asia: a case study of the Kyrgyz Republic

This paper attempts to provide insights into poverty, food insecurity, and malnutrition in Central Asia in the period following independence, and presents the available evidence from household-level data in the Kyrgyz Republic. It finds that although some improvement has been made in recent years, significant levels of poverty, food insecurity, and child malnutrition still exist. The paper argues that, in the short run, efforts should be made to protect vulnerable groups by investing in information generation and building capacity to design and implement food security and nutrition policies and programs. Increasing the speed of policy reforms and investment in productivity-enhancing agricultural research and rural infrastructure are fundamental for long-tern sustainable development in Central Asia.     

Evaluating the impact of reforming the food subsidy program in Egypt: A Mixed Demand approach

Food subsidy is one of the policies considered to protect consumer welfare against food price increases, in particular when the insufficient local production has to be complemented by food imports with volatile prices. Egypt has experienced several “food crises” (the latest in 2008), which put an halt to attempts to reform in depth the system of food subsidies because of social unrest. In this paper, we use a Mixed Demand approach to analyze the consumption structure of Egyptian households. Our model specification takes into consideration the characteristics of the Egyptian food subsidy system, where some food items have predetermined quotas while others are associated with predetermined (subsidized) prices. Price, income and quota elasticities are estimated from the Egyptian family expenditure survey, and welfare change measures are derived by income class. Simulations of various options to eliminate subsidies on selected food items are conducted. We estimate the negative welfare impact of the reforms, especially in the context of increasing food prices, by comparing welfare effects of policy options by income quartiles and by household category (rural, urban).