Determinants of Household Food Insecurity in Rural Areas of the Hilly Region of Kumaun, Uttarakhand, India: A Pilot Study

Joshi, Nidhi; Raghuvanshi, Rita Singh

doi:10.1080/03670244.2020.1852228

Cited by 11 publications

(7 citation statements)

References 16 publications

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“…Schooling of members of the household negatively affects household food insecurity. This is consistent with other research papers that demonstrated food insecurity to be significantly correlated with education 33 , 62 , 63 . This could be possibly explained by the facts that educational attainment by the household members largely contributed on working competency, diversify income, efficiency, and adopting technologies with long term target to ensure better living condition.…”

Section: Discussionsupporting

confidence: 93%

The spatial modification effect of predictors on household level food insecurity in Ethiopia

Dessie

Zewotir

North

2022

Sci Rep

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Household food insecurity remains highly prevalent in developing countries (including in Ethiopia) and it has been recognized as a serious public health problem. Several factors such as demographic, economic, social, and clinical factors influence household food insecurity, and these vary geographically. In this work, we investigate the geographical modification of the effect of several factors on chronic food insecurity. The data is from the Ethiopia socioeconomic survey conducted by the Ethiopia Central Statistics Agency (ECSA) in collaboration with the World Bank. Ethiopia socioeconomic survey is a long-term project to collect nationally representative panel survey of over 6500 households. A geo-additive model which accounts the structured and unstructured special effect was adopted to estimate household food insecurity risk factors. The study also revealed significant spatial variations on household food insecurity among administrative zones. Mainly, household living in the Sidama, Gamo Gofa, Shinille, Basketo, Wolyita, Wag Hemira, Liben, Awi, Eastern Tigray and West Harerghe zones, having higher food insecurity than the other zones in Ethiopia. Moreover, the analysis also showed that availability of credit services, proximity to service centers, average years of schooling of members of the household, and household assets are negatively associated with household food insecurity, whereas shocks, age, and dependency ratio increase the odds of a household to be food insecured. The generalized geo-additive mixed-effects model enables simultaneous modeling of spatial correlation, heterogeneity and possible nonlinear effects of covariates. Our study investigated the spatial heterogeneity of household level food insecurity, and its association with shocks, age, dependency ratio, availability of credit services, average years of schooling, and household assets. Our findings have also an important implication for planning as well as in the search for the variables that might account for the residual spatial patterns.

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Section: Discussionsupporting

confidence: 93%

The spatial modification effect of predictors on household level food insecurity in Ethiopia

Dessie

Zewotir

North

2022

Sci Rep

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“…There is a complex relationship between household size and household food insecurity, the coefficient of variable NFM thus is uncertain. It is generally assumed that moderate household size is beneficial to ensuring household food security [ 46 ], but as the number of family members increases, the incidence of severe food insecurity increases significantly [ 47 ], especially for households that have many children or adolescents.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

Impacts of community-level grassroots organizations on household food security during the COVID-19 epidemic period in China

Liang¹,

Zhong²

2023

International Journal of Disaster Risk Reduction

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“…Following extant literature from India highlighting socioeconomic status, sociodemographic characteristics, and household composition as important correlates of food insecurity and dietary patterns [ [53] , [54] , [55] , [56] , [57] , [68] ], we controlled for several possible confounders in our analysis. Household level correlates included household head’s age, education (primary completed compared with no primary education completed), and household head caste or tribe (scheduled caste or tribe; scheduled tribe; backward caste or tribe; other), household place of residence (rural compared with urban), and wealth tercile (low; middle; top).…”

Section: Methodsmentioning

confidence: 99%

Children’s Educational Outcomes and Persistence and Severity of Household Food Insecurity in India: Longitudinal Evidence from Young Lives

Argaw¹,

Fledderjohann²,

Aurino³

et al. 2023

The Journal of Nutrition

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Determinants of Household Food Insecurity in Rural Areas of the Hilly Region of Kumaun, Uttarakhand, India: A Pilot Study

Cited by 11 publications

References 16 publications

The spatial modification effect of predictors on household level food insecurity in Ethiopia

The spatial modification effect of predictors on household level food insecurity in Ethiopia

Impacts of community-level grassroots organizations on household food security during the COVID-19 epidemic period in China

Children’s Educational Outcomes and Persistence and Severity of Household Food Insecurity in India: Longitudinal Evidence from Young Lives

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