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Explaining socioeconomic inequality in food consumption patterns among households with women of childbearing age in South Africa

Author

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  • Mweete D Nglazi
  • John E Ataguba

Abstract

The changing food environment shifts peoples’ eating behaviour toward unhealthy food, including ultra-processed food (UPF), leading to detrimental health outcomes like obesity. This study examines changes in socioeconomic inequalities in food consumption spending between 2005/06 and 2010/11 in South African households with women of childbearing age (15 to 49) (WCBA). Data come from the 2005/06 and 2010/11 Income and Expenditure Surveys. The distribution of spending according to the NOVA food classification system groupings (unprocessed or minimally processed foods, processed culinary ingredients, processed and UPF products) was analysed using standard methodologies. Changes in spending inequalities between 2005/06 and 2010/11 were assessed using the concentration index (C), while the factors explaining the changes in spending inequalities were identified using the Oaxaca decomposition approach. The Kakwani index (K) was used to assess progressivity. Results show that average real spending on all food categories, including UPF, increased between 2005/06 and 2010/11. Socioeconomic inequality in UPF consumption spending decreased (C = 0.498 in 2005/06 and C = 0.432 in 2010/11), and spending on processed foods (C = 0.248 in 2005/06 and C = 0.209 in 2010/11). Socioeconomic status, race, and urban residence contributed to overall socioeconomic inequality and changes in UPF consumption inequality between 2005/06 and 2010/11. Spending on all food categories was regressive in 2005/06 (K = -0.173 for UPF and -0.425 for processed foods) and 2010/11 (K = -0.192 for UPF and -0.418 for processed foods) because such spending comprises a larger share of poorer household’s income than their wealthier counterparts. The government should address these contributors to inequality to mitigate the risks associated with UPF consumption, especially among less affluent households.

Suggested Citation

  • Mweete D Nglazi & John E Ataguba, 2024. "Explaining socioeconomic inequality in food consumption patterns among households with women of childbearing age in South Africa," PLOS Global Public Health, Public Library of Science, vol. 4(10), pages 1-17, October.
  • Handle: RePEc:plo:pgph00:0003859
    DOI: 10.1371/journal.pgph.0003859
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    References listed on IDEAS

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    1. Ada Jansen & Estian Calitz, 2017. "Considering the efficacy of value-added tax zero-rating as pro-poor policy: The case of South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 34(1), pages 56-73, January.
    2. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income‐related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628, July.
    3. Aimable Nsabimana & Ranjula Bali Swain & Yves Surry & Jean Chrysostome Ngabitsinze, 2020. "Income and food Engel curves in Rwanda: a household microdata analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.
    4. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    5. Fred J. Prochaska & R. A. Schrimper, 1973. "Opportunity Cost of Time and Other Socioeconomic Effects on Away-From-Home Food Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(4_Part_1), pages 595-603.
    6. Averett, Susan L. & Stacey, Nicholas & Wang, Yang, 2014. "Decomposing race and gender differences in underweight and obesity in South Africa," Economics & Human Biology, Elsevier, vol. 15(C), pages 23-40.
    7. Steven T. Yen, 1993. "Working Wives and Food away from Home: The Box-Cox Double Hurdle Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 884-895.
    8. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    9. Bai, Junfei & Wahl, Thomas I. & Lohmar, Bryan T. & Huang, Jikun, 2010. "Food away from home in Beijing: Effects of wealth, time and "free" meals," China Economic Review, Elsevier, vol. 21(3), pages 432-441, September.
    10. Florian Kroll & Elizabeth Catherina Swart & Reginald Adjetey Annan & Anne Marie Thow & David Neves & Charles Apprey & Linda Nana Esi Aduku & Nana Ama Frimpomaa Agyapong & Jean-Claude Moubarac & Andrie, 2019. "Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions," Sustainability, MDPI, vol. 11(14), pages 1-31, July.
    11. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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