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Determinants of food insecurity in Kenya: household dietary diversity approach

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  • Kipkorir, Peter
  • Ngeno, Vincent
  • Chumo, Chepchumba

Abstract

Food insecurity is a leading health and nutrition issue for decades, especially in developing countries. Despite the good policies implemented by the national and county government to improve food security status among smallholder farming households, food insecurity is still a challenge in many parts of the country. Thus, the current paper sought to establish the determinants of food security among households in Kenya. Using panel data from the Kenya Covid-19 Rapid Response Phone Survey, the Random effects Generalized ordered Probit model was employed to analyze the factors affecting food security using the household dietary diversity. Analytically, the age of the household and the two region dummy variables, central and western, did not violate the parallel line assumptions. The three variables revealed the unobserved heterogeneity in the dependent variable. A household being in the central region increased the probability of a household falling into the low dietary diversity (LDD) and medium dietary diversity (MDD) levels by 1.9% (p<0.10) and 2.9% (p<0.01) compared to households from other regions in Kenya. Also, a household living in the western region has a higher probability of being in the low dietary diversity (LDD and medium dietary diversity (MDD) levels by 3.1% (p<0.01) and 2.1% (p<0.01). However, being a year older increases the probability of being in the high dietary diversity (HDD) level by 0.1 % (p<0.01). Summarily, internet access, mobile phone ownership, and gender had a significant effect across various levels of household dietary diversity. Thus, policy should be tailored to capture region-specific agroecological conditions while households should be encouraged to diversify differently in the crop and livestock production activities as a risk management strategy and as an adaptation strategy against climate change. Moreover, government to strengthen internet and electricity infrastructure and at the same time reinforce education on nutritionally healthy living lifestyles across different age cohorts.

Suggested Citation

  • Kipkorir, Peter & Ngeno, Vincent & Chumo, Chepchumba, 2023. "Determinants of food insecurity in Kenya: household dietary diversity approach," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365947, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae23:365947
    DOI: 10.22004/ag.econ.365947
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    References listed on IDEAS

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    1. Abafita, Jemal & Kim, Kyung-Ryang, 2014. "Determinants of Household Food Security in Rural Ethiopia: An Empirical Analysis," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 37(2), pages 1-29.
    2. Giacomo Zanello, 2012. "Mobile Phones and Radios: Effects on Transactions Costs and Market Participation for Households in Northern Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 694-714, September.
    3. Ren, Yanjun & Li, Hui & Wang, Xiaobing, 2019. "Family income and nutrition-related health: Evidence from food consumption in China," Social Science & Medicine, Elsevier, vol. 232(C), pages 58-76.
    4. Jones, Andrew D. & Shrinivas, Aditya & Bezner-Kerr, Rachel, 2014. "Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data," Food Policy, Elsevier, vol. 46(C), pages 1-12.
    5. Hoddinott, John & Yohannes, Yisehac, 2002. "Dietary Diversity As A Food Security Indicator," Discussion Paper Briefs 15972, CGIAR, International Food Policy Research Institute (IFPRI).
    6. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    7. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    8. Wanglin Ma & Peng Nie & Pei Zhang & Alan Renwick, 2020. "Impact of Internet use on economic well‐being of rural households: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 503-523, May.
    9. Fatma Mabrouk & Mohamed Mehdi Mekni, 2018. "Remittances and Food Security in African Countries," African Development Review, African Development Bank, vol. 30(3), pages 252-263, September.
    10. Fischer, Elisabeth & Qaim, Matin, 2012. "Linking Smallholders to Markets: Determinants and Impacts of Farmer Collective Action in Kenya," World Development, Elsevier, vol. 40(6), pages 1255-1268.
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