Assessing Food Insecurity in Latin America and the Caribbean Using FAO’s Food Insecurity Experience Scale

Winters, Paul; Smith, M. J. H.; Kassa, Woubet

doi:10.1596/29326

Cited by 13 publications

(17 citation statements)

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“…GDP per capita is only statistically significant for NMNR counties, and correlates with lower food insecurity rates. This is consistent with previous literature in an international context which concludes higher GDP growth or GDP per capita is associated with lower incidences of food insecurity (FAO et al, 2012; Smith et al, 2017a, 2017b; Warr, 2014).…”

Section: Resultssupporting

confidence: 92%

Differences in food insecurity across the rural/urban spectrum—The role of trade flows

Beverly

Neill

2022

J of Agr & App Econ Assoc

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There has been little work relating food flows with food insecurity, and how inter‐county trading can drive differences across the rural/urban divide. Using rural–urban continuum codes in combination with a new data set on food flows at the county level we examine the correlation between food insecurity and trade. Results indicate heterogeneous impacts of food trade flows and county types on food insecurity rates. From Oaxaca‐Blinder decompositions we find that differences between rural and metropolitan counties are largely due to explained factors, but differences between nonmetropolitan, nonrural counties and the other county types are unexplained factors.

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Section: Resultssupporting

confidence: 92%

Differences in food insecurity across the rural/urban spectrum—The role of trade flows

Beverly

Neill

2022

J of Agr & App Econ Assoc

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“…Of note, considering the complexity of food security, its assessment and finding comparable indicators applicable to various contexts remain challenging. 9,[15][16][17] This study also reported that those studies that had a lower sample size had a slightly higher level of food security as compared to those with larger sample sizes. The differences could be due to sampling factors such as chance effects.…”

Section: Meta-regressionmentioning

confidence: 90%

“…Considering the complexity of food security, its assessment and finding comparable indicators applicable to various contexts remain challenging. 9,[15][16][17] For example, some studies have relied on individual's 24-hour recall of food consumption, the Household Hunger Scale (HHS), the Household Food Security Scale Module (HFSSM), the Household Food Insecurity Access Scale (HFIAS), and the Household Consumption and Expenditure Surveys (HCES) among other methods in the assessment of food security [18][19][20]. Therefore, for greater accuracy and reliability it is vital to combine food security indicators that measure the different dimensions.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of household food security in Kenya: a systematic review and meta-analysis

Kiboi

Mucheru²,

Mututho³

et al. 2022

Int J Community Med Public Health

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Food is both a basic need and a human right. As such, food security is a critical factor in individual and social health. This study aimed at assessing the pooled prevalence of household food security in Kenya. Relevant studies were systematically searched through manual and electronic searches. We searched databases including; Scopus, Embase, Science Direct, Web of Science, PubMed, Google Scholar and Cochrane Library. The Preferred reporting items for systematic reviews and meta-analyses protocol (PRISMA-P) guideline was followed. Heterogeneity of the primary studies was examined using the Cochrane Q test statistics and I2 test. A random-effect model was used to estimate the pooled prevalence of household food security. The prevalence was determined at a 95% confidence interval with its corresponding odds at a p value of less than 0.05. A total of 15 studies were included. The pooled prevalence of household food security was 22.33% (95% CI: 16.60%-28.06%). Households in an urban setting had a lower (19.28%) food security (95% CI: 12.55%-26.01%) as compared to those in rural settings (25.27%) (95% CI: 16.60%-28.06%). Additionally, those studies conducted post the Sustainable development goals (SDGs) had a higher (24.20%) household food security prevalence (95% CI: 11.49%-36.91%) as compared to those conducted before (21.16%) (95% CI: 14.11%-28.21%). Household food security remains a major concern in the country, particularly in the urban setting. Policymakers and the Government (national and county levels) at large should upscale and accelerate efforts to improve the household food security situation.

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“…In this article, we use the FI Experience Scale (FIES) measure of experiential FI, as it is a powerful tool that assesses the prevalence and severity of FI around the world by directly measuring the access dimension developed by the Food and Agriculture Organization (FAO). This measure of FI allows cross-country comparison and is valid in both developed and developing countries (Ballard, Kepple, and Cafiero 2013; Smith, Kassa, and Winters 2017; Smith, Rabbitt, and Coleman-Jensen 2017). To address the FI–migration relationship, we combine the FIES measure with data on migration flows between 198 origin countries and 16 OECD countries, creating the largest data set that has been applied to the investigation of the relationship between FI and international migration flows.…”

Section: Introductionmentioning

confidence: 99%

Food Insecurity and International Migration Flows

Smith

Wesselbaum

2021

International Migration Review

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The driving forces of international migration are increasingly complex and interrelated. This article examines the relationship between food insecurity and regular, permanent international migration. The analysis draws on data from the first global measure of individual-level food insecurity combined with data on migration flows from 198 origin countries to 16 Organization for Economic Co-operation and Development destination countries for 2014 and 2015. Using a fixed-effects regression model that resembles an augmented gravity equation controlling for various confounding factors, we show both a significant positive correlation between food insecurity at origin and out-migration and a positive correlation between out-migration and within-country inequality in food insecurity at origin. Our findings imply that people may react not only to the average prevalence of food insecurity but also to their relative position in the distribution of food insecurity within their origin country. This finding may help inform policymakers about potential threshold effects and guide the design of migration policies and aid programs. It also contributes to the study of international migration flows by presenting novel evidence for the role of food insecurity and within-country inequality in food insecurity as drivers of migration flows.

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Assessing Food Insecurity in Latin America and the Caribbean Using FAO’s Food Insecurity Experience Scale

Cited by 13 publications

References 0 publications

Differences in food insecurity across the rural/urban spectrum—The role of trade flows

Differences in food insecurity across the rural/urban spectrum—The role of trade flows

Prevalence of household food security in Kenya: a systematic review and meta-analysis

Food Insecurity and International Migration Flows

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