The Effects of Commercial Orientation on (Agro) Pastoralists’ Household Food Security: Evidence from (Agro) Pastoral Communities of Afar, Northeastern Ethiopia

Commercialization has been increasingly promoted for (agro) pastoral communities as an intervention to improve incomes and food access. Using households from rural Afar, this study examines the food security effects of the livestock commercial orientations of (agro) pastoralists by employing propensity score matching (PSM) procedures. The results show that, despite the fact that the market production of (agro) pastoralists is stressed by a broad range of factors, identified as cultural, infrastructural, and production risks, participation in livestock sales significantly decreased the severity of food insecurity in both the household food insecurity access score (HFIAS), and the reduced coping strategy index (rCSI) measures. However, the results failed to find consistently significant effects via the per capita consumption expenditure measure, in which case, the ‘subsistence’ and ‘commercially’ oriented groups are alike. Yet, given the factors depressing market production, properly addressed with policy measures, the income generated from livestock sales improved the welfare of (agro) pastoralists, at least by some (the HFIAS and rCSI) of the livelihood indicators. This highlights the importance of combining market infrastructure investments with culturally sensitive policy measures in order to sustain the traditional livestock husbandry of (agro) pastoralists. Therefore, in order to sustainably improve the food security situations in (agro) pastoral areas, the promotion of market production through the broadening of market access for both sales and purchases is important.

Vulnerability for food insecurity: Experiences of indigenous families in the Huasteca Potosina region, Mexico

Indigenous communities in Mexico are vulnerable to food insecurity (FI) due to a series of factors that prevent them from having access to sufficient and nutritious food. Therefore, this population group has the highest chronic malnutrition in the country. Objective: This study describes the FI conditions of an indigenous community in the Potosina Huastec. Methodology: FI was measured with the Household Food Insecurity Access Component Scale (HFIAS). Results: There is food insecurity ranging from concern about food lack, food reduction, and hunger. The 95.57% of households with children under 18 years were in some state of food insecurity, with severe food insecurity dominating. Limitations: Was a cross-sectional study carried out in a community of the Potosina Huastec. However, it is the municipality with the highest degree of marginalization in the area, but the community chosen is the largest in the municipality. Nonetheless, the results can be considered representative of the area. Conclusions: The food security community depends on climatic, socioeconomic, demographic, geographic, cultural factors, food preference conditions, among others. In addressing food insecurity, it is necessary to consider all factors to have a real diagnosis of food insecurity conditions in rural and indigenous communities.

Investigating Relationship of Food Security with Market Approachability with respect to Household Food Insecurity Access Index

Globally rural households with less landholding, especially from developing countries, are more food insecure due to a lack of resources accessibility and fewer marketplaces. This study was planned to inspect the relationship between household food security and market approachability concerning Household Food Insecurity Access Index (HFIAS). For data collection, 200 farming households from five districts (Faisalabad, Sheikhupura, Rawalpindi, Rahim Yar Khan and Mianwali) from five agro-ecological zones of Punjab were selected as respondents. So, the results can be comprehensive and widespread at the provincial level. Interviews with household heads were conducted with the help of a well-structured and pre-tested interview questionnaire. Food security was calculated with the help of the household food insecurity access score, which calculates food intake for one month and indicates the level of food security based on food consumption during the last thirty days. According to research findings of 46 percent are severely food insecure, and the main reason behind so much food insecurity is rising food prices, increasing fuel prices, transportation costs, lack of agricultural input, and very few marketplaces. Binary logistic regression shows that landholding, earning hands in family, and the distance of farm from the market have a significant effect on the food security status of the family. As the distance of farm from market place increases labour costs, transportation costs, and fuel charges that affect household livelihood inversely. The results suggest that local food security can be enhanced by creating off-farm employment opportunities, improved transportation facilities, and road infrastructure.

Household Food Insecurity Status and Determinants: The Case of Botswana and South Africa

This study used a survey questionnaire to investigate the state and determinants of household food security in South Africa and Botswana. In South Africa, 1557 households in two District Municipalities within Eastern Cape Province participated in the study. In Botswana, data was collected from 506 in Southern Kanye, southeast District, and Gaborone households. The paper employed Household Food Insecurity Access Scale and Prevalence to investigate the state food security across the sample population. The Household Food Insecurity Access Prevalence was used to determine the characteristics of and changes in household food insecurity of the sample households. The linear and ordinal regression analyses were carried out to outline determinants of food insecurity in the region. Findings emanating from the current study show a high prevalence of food insecurity in both countries. Meanwhile, geographical location, household size, and socio-economic infrastructure emerged as common determinants of food security for Botswana and South Africa. The paper recommends state-mediated intervention to improve access to basic socio-economic infrastructure and address unemployment rates in both countries as key areas to improve food security status.

Prevalence and Determinants of Food Insecurity and Association with Malnutrition of under Five Children in Aligarh

Background: Food security has always been a major determinant behind development of malnutrition among the under 5 children of India. Even after sustained efforts to alleviate this problem, we are still way behind in achieving our targets. Aims and Objectives: To assess the prevalence and determinants of food security, and find association of food security with stunting and wasting of children less than five years of age. Materials and Methods: This study among under five children was conducted in field practice areas of Department of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh. Food security was assessed through Household Food Insecurity Access Scale (HFIAS) while stunting and wasting were assessed by parameters defined by World Health Organization. Statistical Analysis: Done using IBM SPSS 20.0 version. Results: 41.1% children were found to have low food security and among these 1.8% children have very low food security. Overall, statistically significant association was found between food security and malnutrition among the children (p<0.05). Significant association was also found between place of residence, caste, type of family, father’s education, father’s occupation and mother’s education. Conclusion: New health policies should be introduced, and already existing programs need to reinforce to curb this menace.

Does food insecurity affect musculoskeletal symptoms, fatigue, and productivity of municipality cleaners? A cross-sectional study

BACKGROUND: Municipality cleaners are exposed to food insecurity, Musculoskeletal Symptoms (MSs), and fatigue. OBJECTIVE: This study aimed to investigate the effect of food insecurity on MSs, fatigue, and productivity among municipality cleaners. METHODS: This study was conducted on 399 Iranian male municipality cleaners with at least one year of working experience. The data were gathered via a demographic/occupational questionnaire, the Persian version of the Household Food Insecurity Access Scale (P-HFIAS), the Persian version of Nordic Musculoskeletal Questionnaire (P-NMQ), the Persian version of the Multidimensional Assessment of Fatigue scale (P-MAF), and the Persian version of Health and Work Questionnaire (P-HWQ). Data were analyzed using descriptive statistics, multiple logistic regression (Forward Wald), and multiple linear regression (Stepwise). RESULTS: The findings revealed that 42.6%of the municipality cleaners were in the ‘severely food insecure’ category. The highest prevalence of MSs in the past week were related to knees (35.8%), lower back (35.1%), and ankles/feet (28.8%). Based on the results, the chance of MSs in the shoulders (OR = 1.66) and ankles/feet (1.60) regions, and MSs at least in one body region (OR = 1.47) was higher in the individuals with severe food insecurity than the others. Considering the P-MAF, food insecurity was associated with the ‘degree and severity’, ‘distress that it causes’, and ‘timing of fatigue’ subscales and ‘total fatigue’. Considering the P-HWQ, food insecurity was associated with ‘productivity’, ‘other’s assessment’, ‘concentration/focus’, ‘supervisor relations’, ‘non-work satisfaction’, and ‘impatience/irritability’ subscales. CONCLUSION: The study revealed an association between food insecurity and MSs in some body regions and fatigue and productivity subscales among the municipality cleaners. Nutritional and ergonomic programs are recommended to reduce municipality cleaners’ food insecurity, MSs, and fatigue and enhance their productivity.

Invariance of the Household Food Insecurity Access Scale Across Different Groups of Adolescents and Young Adults

Background: Cross-group comparisons of household food insecurity and its associations using multiple-item scales assume that scale scores can be interpreted as identical across groups. However, scores should not be interpreted as identical across groups without evidence of measurement invariance. Noninvariant measures indicate that the underlying construct may be different across groups. Objective: To determine whether the Household Food Insecurity Access Scale (HFIAS) is invariant across different groups of Ghanaian and South African youth aged 15 to 24. Methods: We analyzed cross-sectional quantitative data from 1437 and 4165 young South Africans and Ghanaians, respectively. Multi-group confirmatory factor analysis was used to examine whether the HFIAS was invariant across different groups of youth, including sex (male or female), age group (middle adolescence, late adolescence, or emerging adulthood), and receipt of child support grant (yes or no). We assessed 3 levels of invariance: configural, metric, and scalar. The model fit between nested models was compared using χ2 difference testing. Results: Invariance tests indicated that the HFIAS had configural, metric, and scalar invariance across different groups of Ghanaian and South African youth. Model fit statistics across all invariance levels indicated good fit of our hypothesized model with the observed data. χ2 difference testing results were not statistically significant across all nested models. Conclusions: Food insecurity, as measured by the HFIAS, meant the same thing for different groups of Ghanaian and South African youth. Evidence of invariance means that the HFIAS scores could be interpreted as identical across youth groups in our study.

Senegal Farmer Networks Respond to COVID-19

This study leveraged existing data infrastructure and relationships from the Feed the Future Senegal Naatal Mbay (“flourishing agriculture”) project, funded by the US Agency for International Development (USAID) and implemented by RTI International from 2015 to 2019. The research informed and empowered farmer organizations to track and respond to rural households in 2020 as they faced the COVID-19 pandemic. Farmer organizations, with support from RTI and local ICT firm STATINFO, administered a survey to a sample of 800 agricultural households that are members of four former Naatal Mbay–supported farmer organizations in two rounds in August and October 2020. Focus group discussions were conducted with network leadership pre- and post–data collection to contextualize the experience of the COVID-19 shock and to validate findings. The results showed that farmers were already reacting to the effects of low rainfall during the 2019 growing season and that COVID-19 compounded the shock through disrupted communications and interregional travel bans, creating food shortages and pressure to divert seed stocks for food. Food insecurity effects, measured through the Household Food Insecurity Access Scale and cereals stocks, were found to be greater for households in the Casamance region than in the Kaolack and Kaffrine regions. The findings also indicate that farmer networks deployed a coordinated response comprising food aid and access to personal protective equipment, distribution of short-cycle legumes and grains (e.g., cowpea, maize) and vegetable seeds, protection measures for cereals seeds, and financial innovations with banks. However, food stocks were expected to recover as harvesting began in October 2020, and the networks were planning to accelerate seed multiplication, diversify crops beyond cereals, improve communication across the network. and mainstream access to financial instruments in the 2021 growing season. The research indicated that the previous USAID-funded project had likely contributed to the networks’ COVID-19 resilience capacities by building social capital and fostering the new use of tools and technologies over the years it operated.

The determinants of food security in Sudan: the case of Kassala state

PurposeThis paper aims to discuss the determinants of food security in Kassala state using the measurement of Household Food Insecurity Access Scale (HFIAS). We use the measurement of HFIAS and use new primary data from a food security household survey in Kassala state (2019).Design/methodology/approachThis paper focuses on the determinants of food security in Kassala state using the measurement of Household Food Insecurity Access Scale (HFIAS), using new primary data from a food security household survey in Kassala state (2019) and using the multinomial logistic regression analysis and both ordered logit and ordered probit regression to examine the determinants of food security.FindingsOur results are in support of our hypothesis that the significant determinants of household food insecurity are family-owned production (that negatively affects the probabilities of household being food insecure), household income (that negatively affects HFIAS). We observe that the effects of family-owned production on household food insecurity are particularly significant in the case of mildly and moderately food insecurity. We explain that the other factors that affect the household food insecurity include improvement in the level of agricultural services, marketing, banking services and road characteristics that reduce HFIAS. We find a gender gap related to food security in the sense that male-headed households produce more food compared to female-headed households and also families headed by males are more likely food secure. Therefore, the major policy implication from our results is the importance of increasing households income and enhancing family own production of food to eliminate food insecurity.Originality/valueThis paper provides a significant contribution to the Sudanese and international literature because it discusses the determinants of food security in Kassala state. Different from the two other accompanying papers that focused on the incidence of food security in Kassala state using the measurement of Household Food Insecurity Access Scale (HFIAS) and the determinants of production of food and consumption of food in Kassala state, this paper focuses on the determinants of food security in Kassala state using the measurement of HFIAS and using new primary data from a food security household survey in Kassala state (2019). We fill the gap in the Sudanese literature because we provide a more interesting analysis of the determinants of food security in Kassala state. Our analysis is useful from policy perspective since we provide useful policy recommendations to enhance food security through agricultural development in Kassala state.

Food security in Sudan: the case of Kassala state

PurposeDifferent from the previous studies in the Sudanese literature, this study aims to examine the incidence and of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State as a case study of Eastern Sudan.Design/methodology/approachThis paper uses the measurement of Household Food Insecurity Access Scale (HFIAS) and uses new primary data from a Food Security Household Survey in Kassala State (2019) and uses the descriptive analysis to discuss the measurement of HFIAS, the incidence of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State.FindingsThe authors find that the majority of household (77%) are food-insecure of various degrees, with 32.9% being severely food-insecure, while some households are food-secure (23%). The authors find support for their hypothesis that there will be variation in households' food insecurity between localities that most probably relate to variation in the distribution of monthly income between localities. In particular, the authors find that most households in rural areas are severely food-insecure.Originality/valueThis paper provides a significant contribution to the Sudanese and international literature because it discusses the incidence of food insecurity in Sudan. Different from the two other accompanying papers that focused on the determinants of food security in Kassala State using the measurement of HFIAS and determinants of production of food and consumption of food in Kassala State, this paper focuses on the incidence of food security in Kassala State using the measurement of HFIAS.