Anthropometry as an indicator of access to food in populations prone to famine

It is generally believed that anthropometry cannot provide early warning of famine; some would say that even for purposes of relief targeting it has little or no value. This article argues that at the level of the community, anthropometrie status can serve as a proxy indicator of access to food, and that its limitations are in fact common to most of the other indicators commonly used in the assessment of food security. For populations in which dietary austerity is an early response to food insecurity, both early warning and targeting can be improved by monitoring an anthropometrie index of ‘biomass’.     

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.     

Food insecurity in developing countries

Despite improvements in the world food predicament, the underlying causes of food crises have not disappeared. The aim of this article is to improve understanding of food security problems in Asia, Africa and Latin America, and to assess the relative merits of alternative national and international intervention schemes. The article includes discussion of the concept of ‘food security’, policies that can be undertaken at the national level, a quantitative assessment of national food insecurity for a sample of LDCs, and an examination of the proposed international policies to enhance food security in food-deficit countries.     

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.     

Food security and public agricultural spending in Bolivia: Putting money where your mouth is?

This paper explores the reduction of food insecurity in Bolivia, adopting a supply-side approach that analyzes the role of agricultural spending on vulnerability to food insecurity. Vulnerability to food insecurity is captured by a municipal-level composite indicator for all 327 municipalities in 2003, 2006, and 2007. Econometric analysis indicates that levels of public agricultural spending are positively associated with high or very high vulnerability—especially investments in infrastructure and research and extension. The authors interpret this to indicate that agricultural spending allocation is driven by high or very high vulnerability levels, but has small effects on reducing high vulnerability.     

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.     

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.     

Impact of tissue culture banana technology on farm household income and food security in Kenya

While tissue culture (TC) technology for vegetative plant propagation is gradually gaining in importance in Africa, rigorous assessment of broader welfare effects for adopting smallholder farm households is lacking. Using survey data and accounting for selection bias in technology adoption, we analyze the impact of TC banana technology on household income and food security in Kenya. To assess food security outcomes, we employ the Household Food Insecurity Access Scale (HFIAS) – a tool that has not been used for impact assessment before. Estimates of treatment-effects models show that TC banana adoption, combined with improved crop management, causes considerable increases in farm and household income. Technology adoption also reduces relative food insecurity in a significant way. These results indicate that TC technology can be welfare enhancing for adopting farm households. Adoption should be further promoted through upscaling appropriate technology delivery systems.     

Empirical forecasting of slow-onset disasters for improved emergency response: An application to Kenya’s arid north

Mitigating the negative welfare consequences of crises such as droughts, floods, and disease outbreaks, is a major challenge in many areas of the world, especially in highly vulnerable areas insufficiently equipped to prevent food and livelihood security crisis in the face of adverse shocks. Given the finite resources allocated for emergency response, and the expected increase in incidences of humanitarian catastrophe due to changing climate patterns, there is a need for rigorous and efficient methods of early warning and emergency needs assessment. In this paper we develop an empirical model, based on a relatively parsimonious set of regularly measured variables from communities in Kenya’s arid north, that generates remarkably accurate forecasts of the likelihood of famine with at least 3 months lead time. Such a forecasting model is a potentially valuable tool for enhancing early warning capacity.     

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.     

The dynamics of livelihood diversification in post-famine Ethiopia

Based on data for almost 300 households this paper explores associations among income diversification, household perceptions of livelihood risks, and changes in consumption outcomes across two points in time in post-famine Ethiopia. Four key questions are addressed: i) To what extent did households emerging from the famine period with relatively higher income and calorie consumption levels also have a more diversified income base?; ii) Was higher income diversification in 1989 associated with higher income and consumption levels by 1994?; iii) Which households increased their share of income from non-cropping activities most during the inter-survey years?; and iv) Did household heads perceive a lack of non-farm income activities to be an important risk factor in famine vulnerability? We find that wealthier households tended to have more diversified income streams; those initially more diversified subsequently experienced a relatively greater increase in both income and calorie intake; households with a greater concentration of assets were more likely to fall in their relative outcome ranking (as were female-headed households); and, initially less diversified households subsequently realized greater gains in income diversification. We also find suggestive evidence that personal perceptions of risk factors guided subsequent diversification decisions.     

Self-reported food insecurity in Africa during the food price crisis

This article analyzes data on self-reported food insecurity of more than 50,000 individuals in 18 Sub-Saharan African countries over the period 2005–2008, when global food prices increased dramatically. The average level of self-reported food insecurity was high but remarkably stable over time, at about 54%. However, this average hides large heterogeneity, both within countries and across countries. In eight of the sample countries, self-reported food security improved, while it worsened in the ten other countries. Our results suggest that heterogeneous effects in self-reported food security are consistent with economic predictions, as they are correlated with economic growth and net food consumption (both at the household and country level). Specifically, in the face of rising food prices, self-reported food security improved on average in rural households, while it worsened in urban households – a finding that holds when using global prices or domestic food prices. Improvements in food security over time were also positively correlated with net food exports and GDP per capita growth. While the self-reported indicator used in this paper requires further study and one should carefully interpret the results, our findings suggest the need for a critical evaluation of the currently used data and numbers in the public debate on food prices and food insecurity.     

Measuring food insecurity: Can an indicator based on localized coping behaviors be used to compare across contexts?

The Coping Strategies Index (CSI) was developed as a context-specific indicator of food insecurity that counts up and weights coping behaviors at the household level. It has proven useful to operational humanitarian agencies and researchers in measuring localized food insecurity, but to date has not been useful to compare the relative severity of different crises and has therefore has not been particularly useful for geographic targeting or resource allocation. This paper analyzes data from 14 surveys in crisis-affected or chronically vulnerable countries in Sub-Saharan Africa that incorporated the context-specific CSI. The paper identifies a sub-set of individual coping behaviors common to all surveys, whose severity is regarded as broadly similar by households across these studies. Data from these studies were re-analyzed using a reduced index constructed from only these behaviors. Correlations of this new index with other known food security indicators are similar to those of the complete, context-specific CSI. This suggests the possibility that an indicator based on these common behaviors could be used to compare the types of food security crises analyzed here across different contexts – particularly in Sub-Saharan Africa – to improve geographic targeting and resource allocation, according to the severity of crises. This new, more comparative indicator can be generated with no loss to the context-specific nature of the original CSI, which has proven useful for assessment and monitoring purposes.     

Biases in self-reported food insecurity measurement: A list experiment approach

Measuring the incidence and intensity of food insecurity has long been a challenge due to its conceptual and practical complexity. Several scholars have proposed objective and subjective measurements to monitor or evaluate food in(security) programs. While the objective measurements such as food caloric intake and food expenditure are data demanding and costly, the subjective measurements such as experience-based food insecurity scales that use direct responses to food shortage questions can be prone to biases and misreporting due to respondents’ unobservable economic and social desirability concerns. This paper reports the biases when food shortage is asked through direct questions and indirect interviews using a list experiment approach—an approach widely used to elicit the true responses of respondents for a sensitive question. The list experiment was conducted on four selected self-reported food insecurity survey questions which represent both the availability (incidence) and access (intensity) dimensions of food security. The sample households were drawn from two districts in Northern Ethiopia where households are chronically food insecure and several projects have been implemented. The results indicate the existence of significant bias in self-reported food insecurity responses when implemented through direct interviews. The results also show that the biases, particularly the ones related to incidence questions, have led to erroneous conclusion about the impact of a food security program—the Ethiopian Household Asset Building (HAB) program. Based on the findings, the paper highlights possible options and precautionary actions for measuring food insecurity using self-reported questions.     

Assessing food insecurity in Latin America and the Caribbean using FAO’s Food Insecurity Experience Scale

The complexity of the operational concept and definition of food insecurity has complicated the study of the ‘food insecure’ and efforts to determine clear policy directions. Previous findings on the prevalence and severity of food insecurity are inconsistent and often depend on the measure used. To overcome limitations in food security measurement, the Food and Agriculture Organization of the United Nations developed the Food Insecurity Experience Scale, which is the first survey protocol to measure people’s direct experience of food insecurity on a global scale. Using this new measure, our study contributes to the understanding of the food insecure by examining the determinants of food insecurity within and across countries in Latin America and the Caribbean (LAC). Using a series of multilevel linear models, we find the three determinants associated with the largest increase in the likelihood of experiencing food insecurity in LAC are: low levels of education, limited social capital, and living in a country with low GDP per capita. Results suggest the need to promote education of the most vulnerable, encourage social interactions that help build individuals’ social capital, and adopt gender-sensitive programs. The results also suggest the need for a shift in policy from short-term strategies to long-term efforts that sustain household productive capacity and employment to promote sustained economic growth.     

A welfare measure of consumer vulnerability to rising prices of food imports in the UAE

The recent and expected continuing rise in food prices has re-ignited concern and discussion in the United Arab Emirates about the country’s vulnerability to food supply shocks. Defining vulnerability as the compensating variation relative to household income, we find that although UAE households in the lowest income quintile spend on food on average less than a quarter of what households in the highest income quintile spend, the former are 3.5 times more vulnerable to rising prices of food imports than the latter.     

Facing famine: Somali experiences in the famine of 2011

In 2011–12, Somalia experienced the worst famine of the twenty- first century. Since then, research on the famine has focused almost exclusively on the external response, the reasons for the delay in the international response, and the implications for international humanitarian action in the context of the “global war on terror.” This paper focuses on the internal, Somali response to the famine. Themes of diversification, mobility and flexibility are all important to understanding how people coped with the famine, but this paper focuses on the factor that seemed to determine whether and how well people survived the famine: social connectedness, the extent of the social networks of affected populations, and the ability of these networks to mobilize resources. These factors ultimately determined how well people coped with the famine. The nature of reciprocity, the resources available within people’s networks, and the collective risks and hazards faced within networks, all determined people’s individual and household outcomes in the famine and are related to the social structures and social hierarchies within Somali society. But these networks had a distinctly negative side as well—social identity and social networks were also exploited to trap humanitarian assistance, turn displaced people into “aid bait,” and to a large degree, determined who benefited from aid once it started to flow. This paper addresses several questions: How did Somali communities and households cope with the famine of 2011 in the absence of any state-led response—and a significant delay in a major international response? What can be learned from these practices to improve our understanding of famine, and of mitigation, response and building resilience to future crises?     

Food self-sufficiency: Making sense of it,and when it makes sense

Food self-sufficiency gained increased attention in a number of countries in the wake of the 2007–08 international food crisis, as countries sought to buffer themselves from volatility on world food markets. Food self-sufficiency is often presented in policy circles as the direct opposite of international trade in food, and is widely critiqued by economists as a misguided approach to food security that places political priorities ahead of economic efficiency. This paper takes a closer look at the concept of food self-sufficiency and makes the case that policy choice on this issue is far from a straightforward binary choice between the extremes of relying solely on homegrown food and a fully open trade policy for foodstuffs. It shows that in practice, food self-sufficiency is defined and measured in a number of different ways, and argues that a broader understanding of the concept opens up space for considering food self-sufficiency policy in relative terms, rather than as an either/or policy choice. Conceptualizing food self-sufficiency along a continuum may help to move the debate in a more productive direction, allowing for greater consideration of instances when the pursuit of policies to increase domestic food production may make sense both politically and economically.     

National food security assessment through the analysis of food consumption data from Household Consumption and Expenditure Surveys: The case of Brazil’s Pesquisa de Orçamento Familiares 2008/09

By analyzing the food consumption data from the 2008/09 Pesquisa de Orçamentos Familiares in Brazil, we demonstrate that failing to account for food consumed for free at school may significantly distort the assessment of the distribution of food consumption among households and therefore the assessment of the extent of food insecurity in the country. The results of our analysis enabled a revision of the FAO estimate of the Prevalence of Undernourishment in Brazil and provide useful suggestions for better design of food consumption modules to be included in Household Consumption and Expenditure Surveys (HCES). Additionally, we identify areas for further research on food consumption data to improve national food security assessments.     

Feeding the famine? American food aid and the GMO debate in Southern Africa

The inclusion of genetically modified maize in food aid shipments to Southern Africa during the 2002 food crisis rekindled debates over agricultural biotechnology. As the region edged ever closer to famine – putting the lives to some 14 million Africans at risk – corporate pundits, government officials and biotech’s critics debated the health and environmental dangers posed by the new technology.By situating the decision to send genetically modified maize to Southern Africa in the context of US–European debates over agricultural biotechnology, it becomes clear that the promotion of biotechnology has nothing to do with ending hunger in the region. Indeed, American food aid shipments to Southern Africa have little to do with the famine at all. Instead, I argue that US food aid policy following the 2002 crisis was intended to promote the adoption of biotech crops in Southern Africa, expanding the market access and control of transnational corporations and undermining local smallholder production thereby fostering greater food insecurity on the Continent.