The Application of Binary Logistic Regression in Modeling the Post-COVID-19 Effects on Food Security: In Search of Policy Recommendations in Promoting Sustainable Livelihoods for Food-Insecure Households

文献类型: 外文期刊

第一作者: Darwis, Khaeriyah

作者: Darwis, Khaeriyah;Wulandary, Ayu;Darwis, Khaeriyah;Salam, Muslim;Bulkis, Sitti;Rahmadanih, Muhammad Hatta;Jamil, Muhammad Hatta;Akhsan, Muhammad;Munizu, Musran;Diansari, Pipi;Fudjaja, Letty;Wulandary, Ayu;Ridwan, Muhammad;Ali, Hamed Noralla Bakheet

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关键词: food security; post-COVID-19 pandemic; binary logistic regression; sustainable livelihood; food availability

期刊名称:SUSTAINABILITY ( 影响因子:3.3; 五年影响因子:3.6 )

ISSN:

年卷期: 2025 年 17 卷 14 期

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收录情况: SCI

摘要: COVID-19 has caused global problems with complex ramifications. Vulnerable households worry about disruptions to food security. Mobility restrictions, decreased salaries, and supply chain disruptions have increased food insecurity. This study examined the best food security model and its determinants. The primary research data were collected from 257 respondents via cluster random sampling. Binary logistic regression, using R-Studio, was employed to analyze the data. The study showed that the Minimal Model (MM) was optimal in explaining food security status, with three predictors: the available food stock (AFS), education of the household head (EHH), and household income (HIc). This aligned with studies showing that food purchase ability depends on income and education. Male household heads demonstrated better food security than females, while women's education influenced consumption through improved nutritional knowledge. Higher income provides more alternatives for meeting needs, while decreased income limits options. Food reserve storage influenced household food security during the pandemic. The Minimal Model effectively influenced food security through the AFS, EHH, and HIc. The findings underline the importance of available food stock, household head education, and household income in developing approaches to assist food-insecure households. The research makes a significant contribution to ensuring food availability and promoting sustainable development post-pandemic.

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