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Intertemporal evaluation of household food security and its determinants: evidence from Rwanda

Author

Listed:
  • Olufemi Daniel Bolarinwa

    (University of Florida)

  • Kolawole Ogundari

    (Florida State University)

  • Adebayo B. Aromolaran

    (Adekunle Ajasin University)

Abstract

The food security literature has reiterated the importance of having an indicator that simultaneously captures the different dimensions of the food security definition. In this regard, this study builds on previous studies using a harmonized food security indicator within a relatively high frequency panel data from Rwanda to examine the dynamics of household food security. Summary statistics show the transitory nature of food security where households go either from complete state of food insecurity to being partially food insecure or from being partially food insecure to being completely food secure during the harvesting seasons and later fall back to their initial state during the sowing and growing seasons. This underscores the intertemporal dimension and transitory nature of food security over time. We also employed a correlated random effects multinomial logit model to further identify the determinants of households being in any of the identified states of food security. Results suggest that agricultural seasons of major food crops do determine households’ state of food security. Also, household socio-demographic characteristics, household assets, income diversification, and location of the household dwelling are some of the consistent factors that increase or decrease the likelihood of the household being food insecure.

Suggested Citation

  • Olufemi Daniel Bolarinwa & Kolawole Ogundari & Adebayo B. Aromolaran, 2020. "Intertemporal evaluation of household food security and its determinants: evidence from Rwanda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 179-189, February.
  • Handle: RePEc:spr:ssefpa:v:12:y:2020:i:1:d:10.1007_s12571-019-00986-z
    DOI: 10.1007/s12571-019-00986-z
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    2. Maria Sassi & Gopal Trital, 2022. "A latent growth curve modelling approach to seasonal and spatial dynamics of food security heterogeneities in rural Lake Naivasha Basin, Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 111-125, February.
    3. Sanctus Niragira & Jean Ndimubandi & Jos Orshoven & Marijke D’Haese & Jeroen Buysse & Serge Ngendakumana & Zacharie Miburo & Pamela Sinzinkayo, 2022. "Modelling crop portfolios that minimize human macronutrient deficiency on subsistence farms in Burundi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 23-37, February.
    4. Xi Chen & Chenyang Shuai & Ya Wu, 2023. "Global food stability and its socio‐economic determinants towards sustainable development goal 2 (Zero Hunger)," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1768-1780, June.
    5. Sriroop Chaudhuri & Mimi Roy & Louis M. McDonald & Yves Emendack, 2021. "Coping Behaviours and the concept of Time Poverty: a review of perceived social and health outcomes of food insecurity on women and children," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 1049-1068, August.
    6. Sung Kyu Kim & Fiona Marshall & Neil M. Dawson, 2022. "Revisiting Rwanda’s agricultural intensification policy: benefits of embracing farmer heterogeneity and crop-livestock integration strategies," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 637-656, June.

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    More about this item

    Keywords

    Food security; Harmonized; Agricultural seasons; Intertemporal;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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