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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

Author

Listed:
  • Khaeriyah Darwis

    (Study Program of Agricultural Sciences, Graduate School, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia
    Faculty of Agriculture, Muhammadiyah Makassar University, Jln. Sultan Alauddin, Makassar 90221, Indonesia)

  • Muslim Salam

    (Laboratory of Agricultural Development, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Musran Munizu

    (Faculty of Economics and Business, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Pipi Diansari

    (Laboratory of Agribusiness, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Sitti Bulkis

    (Laboratory of Agricultural Development, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Rahmadanih

    (Laboratory of Agricultural Development, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Muhammad Hatta Jamil

    (Laboratory of Agricultural Development, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Letty Fudjaja

    (Laboratory of Agribusiness, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Akhsan

    (Laboratory of Agricultural Development, Department of Socio-Economics of Agriculture, Faculty of Agriculture, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia)

  • Ayu Wulandary

    (Study Program of Agricultural Sciences, Graduate School, Hasanuddin University, Jln. Perintis Kemerdekaan Km. 10, Makassar 90245, Indonesia
    Faculty of Agriculture, Muhammadiyah Sidenreng Rappang University, Jln. l Angkatan 45 No 1A Lt Salo, Sidenreng Rappang 91651, Indonesia)

  • Muhammad Ridwan

    (Agricultural Information Institute (AII), Chinese Academy of Agricultural Sciences Haidian, Beijing 100081, China)

  • Hamed Noralla Bakheet Ali

    (Agricultural Economics and Rural Development, Faculty of Agriculture, Omdurman Islamic University, Omdurman 14415, Sudan)

Abstract

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.

Suggested Citation

  • Khaeriyah Darwis & Muslim Salam & Musran Munizu & Pipi Diansari & Sitti Bulkis & Rahmadanih & Muhammad Hatta Jamil & Letty Fudjaja & Akhsan & Ayu Wulandary & Muhammad Ridwan & Hamed Noralla Bakheet Al, 2025. "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," Sustainability, MDPI, vol. 17(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6375-:d:1699932
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    References listed on IDEAS

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