Household Food Security: Evidence From South Sumatera

Abstract

This study aims to determine the phenomenon of food security in South Sumatra Province. Food security is calculated using Shortfall/Surplus Index and Head Count Ratio. Binary Logistic Regression method is used to determine factors affecting food security. This study obtains data from National Socio-Economic Survey on March 2017 regarding average number of calories consumed by household per day, socio-economic characteristics of household, and household heads in South Sumatra. The Survey used total sample of 9,752 households consisting of 3,099 urban households and 6,653 rural households. The results of the study shows that using 2,100 kcal standard limit, most of districts in South Sumatra have entered safe food security limit. However, they have not entered safe food security limit using 2,500 kcal standard limit. Factors that affect household food insecurity in South Sumatra Province are caused by the number of household members and the education of household heads.

The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa

“…The findings show that household size is positive and statistically significant, implying that additional members of a household would result in food insecurity. The results are consistent with studies conducted by Ningi et al (2021), Mazenda andMushayanyama (2021), andAzwardi et al (2019), which highlight that a rise in household size leads to food insecurity as many household members increase consumption, which raises the overall food insecurity status. Mojela et al (2018) and Oduniyi and Tekana (2020) argue that there is no evidence that household size and food insecurity are linked.…”

“…The results are consistent with studies conducted by Ningi et al. (2021), Mazenda and Mushayanyama (2021), and Azwardi et al. (2019), which highlight that a rise in household size leads to food insecurity as many household members increase consumption, which raises the overall food insecurity status.…”

“…The findings from the study show that gender, race, food support, age and grant support do not have any association with household food security in the Gauteng City-Region and are statistically insignificant. However, the findings support Azwardi et al (2019), Mojela et al (2018), Mthethwa and Wale (2021) and Ningi et al (2021), who found that variables such as gender, race, food support and provision of a grant do matter for household food insecurity in the Gauteng City-Region. Therefore, highlighting that households of different age groups are experiencing food insecurity, particularly the black African race.…”

“…The findings from the study show that gender, race, food support, age and grant support do not have any association with household food security in the Gauteng City-Region and are statistically insignificant. However, the findings support Azwardi et al. (2019), Mojela et al.…”

Income and welfare level of cassava farmers during covid-19 pandemic era in Lampung Province

“…The program of National Food Security as one solution to overcome food insecurity in Indonesia. In fact, reduction of food insecurity will only occur if food security is achieved at household level [1]. One of important commodities in food crop subsector is cassava.…”