Unraveling the Channels of Food Security of the Households in Northern Kenya: Evidence from an Exclusive Dataset

Rono, Patrick Kibet; Rahman, Syed Ajijur; Amin, Modhurima D.; Badruddoza, Syed

doi:10.1016/j.cdnut.2022.100005

Cited by 9 publications

(5 citation statements)

References 39 publications

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“…The argument is that a handful of literature has documented high multidimensional poverty, intensity, and headcount ratio among female-headed and older-headed households. In addition, the higher the FHHs who are older, the higher the likelihood of them falling into multidimensional poverty as they are exhausted and less productive in income-generating activities [ 99 ]. Consistent with studies such as Rono et al [ 99 ] and Koomson et al [ 100 ], this paper resolves the endogeneity problem in the study by applying IV-Probit model regression whereby the product of household head age and gender is applied as the instrumental variable.…”

Section: Empirical Analysis and Discussionmentioning

confidence: 99%

“…In addition, the higher the FHHs who are older, the higher the likelihood of them falling into multidimensional poverty as they are exhausted and less productive in income-generating activities [ 99 ]. Consistent with studies such as Rono et al [ 99 ] and Koomson et al [ 100 ], this paper resolves the endogeneity problem in the study by applying IV-Probit model regression whereby the product of household head age and gender is applied as the instrumental variable. As indicated in Table B in the Appendix section, the falsification results show that the association between the selected IV and the response variable (household poverty, which is dichotomous) is weak, while the selected IV is significantly associated with the treatment variable (food insecurity) [ 101 , 102 ].…”

Section: Empirical Analysis and Discussionmentioning

confidence: 99%

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Analysis of incidence, intensity, and gender perspective of multidimensional urban poverty in Kenya

Maket

2024

Heliyon

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Section: Empirical Analysis and Discussionmentioning

confidence: 99%

Section: Empirical Analysis and Discussionmentioning

confidence: 99%

Analysis of incidence, intensity, and gender perspective of multidimensional urban poverty in Kenya

Maket

2024

Heliyon

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“…Before conducting the Ordered probit regression model, it is vital to contemplate three main considerations as to whether the objective fits with the regression model [ 10 , 13 , 14 , 15 , 16 , 17 ]. The three main considerations are model specification, model building, and model diagnosis check.…”

Section: Methodsmentioning

confidence: 99%

Can visual impairment impact your income potential?

et al. 2023

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People’s quality of life (QOL) has been disrupted globally in the wake of the pandemic in recent times. This was mainly due to global economic crises fuelled by the coronavirus (COVID– 19) and other related factors. Sri Lanka, too, was facing major social and economic constraints in the period 2021–2022. Thus, all communities islandwide have been economically disturbed. Among others, people with Visual Impairment and Blindness (VIB) have been pushed to severely disadvantageous positions, financially and otherwise. A sample from three geographical locations in Sri Lanka; and eleven individuals representing diverse cadres in Sri Lankan society were purposively selected for the study based on the existence of the majority of the visually impaired community using a mixed approach. Descriptive statistics were utilised to analyse the identified socio-economic characteristics. Ordered probit regression was employed to determine the mediating effect of socio-economic status on income levels. Word Cloud illustrates the factors affecting the QOL. Most severely impaired individuals are more likely to earn a lower rate of income. This situation has degraded their lives and poor QOL. Participants’ responses elucidate that facilities, resources, education, opportunities, income, employment, and government activities would enhance their QOL. The study adds value to society by recognising VIB people, helping them gain financial independence and strengthening them without marginalising the impaired community. The proposed policies in this study would be valuable for these social groups to address their wealth concerns.

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“…Household food security theory is an approach used to analyze and understand food consumption patterns within households [18]. This concept is based on the assumption that decisions in choosing and consuming food are not only influenced by individual factors, but also influenced by the dynamics and characteristics of the household itself [19]. Household food patterns include various aspects, such as the type of food consumed, the amount, frequency of consumption, how to cook, as well as eating preferences and habits.…”

Section: Household Food Securitymentioning

confidence: 99%

Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

Wijaya,

Susanto,

Satriyandari

et al. 2023

E3S Web of Conf.

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This study aims to analyze household food security as the core determinant of stunting and Purworejo Regency of Central Java Province as a case study. Methodologically, this study used multiple binary regression models. This study analyzed 250 samples selected randomly tiered (multi-stage random sampling). The equation used is stunting as a dependent variable and an independent variable (dummy) in the form of household food security and control variables (parental marriage age, use of contraceptives, gestation, parity, early breastfeeding initiation, exclusive breastfeeding, pollution status, and distance of health facilities). As a result, household food security is proven to be a core determinant of stunting in Purworejo District. Household food security has a significant effect on the -0.679 (α 0.001) coefficient on stunting. This means that houses that have food security have the opportunity to reduce the risk and prevent stunting by 67.9% than those that do not. As a control variable, the use of contraceptives, parity, early initiation of breastfeeding, and exclusive breastfeeding had a significant negative effect on stunting while pollution status had a significant positive effect. This model has been able to explain the research phenomenon by 58.2% (adjusted R-square 0.582).

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Unraveling the Channels of Food Security of the Households in Northern Kenya: Evidence from an Exclusive Dataset

Cited by 9 publications

References 39 publications

Analysis of incidence, intensity, and gender perspective of multidimensional urban poverty in Kenya

Analysis of incidence, intensity, and gender perspective of multidimensional urban poverty in Kenya

Can visual impairment impact your income potential?

Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

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