IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v112y2022ics0306919222001415.html
   My bibliography  Save this article

Changes in dietary practices of mother and child during the COVID-19 lockdown: Results from a household survey in Bihar, India

Author

Listed:
  • Husain, Zakir
  • Ghosh, Saswata
  • Dutta, Mousumi

Abstract

The outbreak of COVID-19, and the national-level lockdown to contain it, were expected to disrupt supply chains, lead to livelihood loss, and reduce household income. Studies anticipated a decline in food security in India, leading to a near famine-like situation. In this study, we examine the change in Dietary Score (number of food groups consumed out of a possible eight) and proportion of respondents complying with Minimum Dietary Diversity norms (consuming at least four food groups) among women aged 15–49 years and their youngest child (aged between 7 and 36 months) during the lockdown. The present study also analyses whether ownership of ration cards and contacts with the party in power locally helped the household to tide over the crisis. The data was collected through a two-phase primary survey undertaken in January-March 2020 (pre-lockdown period) and October-November 2020 (post-lockdown period). It was undertaken in six districts of Bihar, a state with a history of poor maternal and child health outcomes and dysfunctional delivery of health services. We find that dietary practices of women deteriorated, while that of children remained the same. The deterioration is less among households owning ration cards or having political contacts. The analysis suggests that, during pandemics or similar crisis periods, the need to supplement the supply of staple items through the Public Distribution System with a direct transfer of cash will allow households to maintain diversity in the consumption basket.

Suggested Citation

  • Husain, Zakir & Ghosh, Saswata & Dutta, Mousumi, 2022. "Changes in dietary practices of mother and child during the COVID-19 lockdown: Results from a household survey in Bihar, India," Food Policy, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:jfpoli:v:112:y:2022:i:c:s0306919222001415
    DOI: 10.1016/j.foodpol.2022.102372
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919222001415
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2022.102372?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arpit Gupta & Anup Malani & Bartek Woda, 2021. "Explaining the Income and Consumption Effects of COVID in India," NBER Working Papers 28935, National Bureau of Economic Research, Inc.
    2. Cariappa, AG Adeeth & Acharya, Kamlesh Kumar & Adhav, Chaitanya Ashok & Sendhil, R. & Ramasundaram, P., 2022. "COVID-19 induced lockdown effects on agricultural commodity prices and consumer behaviour in India – Implications for food loss and waste management," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    3. Ian McCarthy & Daniel L. Millimet & Manan Roy, 2015. "Bounding treatment effects: A command for the partial identification of the average treatment effect with endogenous and misreported treatment assignment," Stata Journal, StataCorp LP, vol. 15(2), pages 411-436, June.
    4. Johan Swinnen & John McDermott, 2020. "Covid‐19 and Global Food Security," EuroChoices, The Agricultural Economics Society, vol. 19(3), pages 26-33, December.
    5. Jody Harris & Lutz Depenbusch & Arshad Ahmad Pal & Ramakrishnan Madhavan Nair & Srinivasan Ramasamy, 2020. "Food system disruption: initial livelihood and dietary effects of COVID-19 on vegetable producers in India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 841-851, August.
    6. Dilip Mookherjee & Pranab K. Bardhan, 2000. "Capture and Governance at Local and National Levels," American Economic Review, American Economic Association, vol. 90(2), pages 135-139, May.
    7. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    8. Daniel L. Millimet, 2011. "The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 1-39, Emerald Group Publishing Limited.
    9. Siân Alice Summerton, 2020. "Implications of the COVID-19 Pandemic for Food Security and Social Protection in India," Indian Journal of Human Development, , vol. 14(2), pages 333-339, August.
    10. Kanika Mahajan & Shekhar Tomar, 2021. "COVID‐19 and Supply Chain Disruption: Evidence from Food Markets in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 35-52, January.
    11. Siwan Anderson & Patrick Francois & Ashok Kotwal, 2015. "Clientelism in Indian Villages," American Economic Review, American Economic Association, vol. 105(6), pages 1780-1816, June.
    12. Hirvonen, Kalle & Abate, Gashaw T. & de Brauw, Alan, 2020. "Survey suggests rising risk of food and nutrition insecurity in Addis Ababa, Ethiopia, as COVID-19 restrictions continue," IFPRI book chapters, in: COVID-19 and global food security, chapter 10, pages 46-49, International Food Policy Research Institute (IFPRI).
    13. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    14. Lindsay M. Jaacks & Divya Veluguri & Rajesh Serupally & Aditi Roy & Poornima Prabhakaran & GV Ramanjaneyulu, 2021. "Impact of the COVID-19 pandemic on agricultural production, livelihoods, and food security in India: baseline results of a phone survey," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(5), pages 1323-1339, October.
    15. Vibhas Sukhwani & Sameer Deshkar & Rajib Shaw, 2020. "COVID-19 Lockdown, Food Systems and Urban–Rural Partnership: Case of Nagpur, India," IJERPH, MDPI, vol. 17(16), pages 1-23, August.
    16. Anindita Adhikari & Navmee Goregaonkar & Rajendran Narayanan & Nishant Panicker & Nithya Ramamoorthy, 2020. "Manufactured Maladies: Lives and Livelihoods of Migrant Workers During COVID-19 Lockdown in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(4), pages 969-997, December.
    17. Daniel L. Millimet, 2011. "The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 1-39, Emerald Group Publishing Limited.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    2. Nitya Mittal & Janina Isabel Steinert & Sebastian Vollmer, 2023. "COVID-19 pandemic, losses of livelihoods and uneven recovery in Pune, India," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    3. Susan Chen & Le Wang, 2021. "SNAP participation, diet quality, and obesity: robust evidence with estimation techniques without external instrumental variables," Empirical Economics, Springer, vol. 61(3), pages 1641-1667, September.
    4. Gundersen, Craig & Kreider, Brent & Pepper, John, 2012. "The impact of the National School Lunch Program on child health: A nonparametric bounds analysis," Journal of Econometrics, Elsevier, vol. 166(1), pages 79-91.
    5. Choudhury, Sanchari, 2019. "WTO membership and corruption," European Journal of Political Economy, Elsevier, vol. 60(C).
    6. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    7. Lotanna E Emediegwu & Obianuju O Nnadozie, 2023. "On the effects of COVID-19 on food prices in India: a time-varying approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 232-249.
    8. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    9. Teferi Mergo & Alain-Desire Nimubona & Horatiu Rus, 2019. "Political Representation and the Provision of Public Goods: Theory and Evidence from Ethiopia," Working Papers 1901, University of Waterloo, Department of Economics, revised Jan 2019.
    10. Haseeb, Muhammad & Vyborny, Kate, 2022. "Data, discretion and institutional capacity: Evidence from cash transfers in Pakistan," Journal of Public Economics, Elsevier, vol. 206(C).
    11. Assem Abu Hatab & Lena Krautscheid & Mohamed Elsayied & Franklin Amuakwa-Mensah, 2024. "COVID-19 risk perception and food security in the MENA region: evidence from a multi-wave household survey," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(4), pages 989-1008, August.
    12. Catherine Ragasa & Isabel Lambrecht & Kristi Mahrt & Zin Wai Aung & Michael Wang, 2021. "Immediate impacts of COVID‐19 on female and male farmers in central Myanmar: Phone‐based household survey evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 52(3), pages 505-523, May.
    13. Matthew D. Baird & Jonathan Cantor & Wendy M. Troxel & Tamara Dubowitz, 2022. "Job loss and psychological distress during the COVID‐19 pandemic: Longitudinal Analysis from residents in nine predominantly African American low‐income neighborhoods," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1844-1861, September.
    14. Muhammad Haseeb & Kate Vyborny, 2016. "Imposing institutions: Evidence from cash transfer reform in Pakistan," CSAE Working Paper Series 2016-36, Centre for the Study of African Economies, University of Oxford.
    15. Anderson, Siwan & Francois, Patrick, 2023. "Reservations and the politics of fear," Journal of Public Economics, Elsevier, vol. 225(C).
    16. Dietrich, Stephan & Giuffrida, Valerio & Martorano, Bruno & Schmerzeck, Georg, 2021. "COVID-19 policy responses, mobility, and food prices: Evidence from local markets in 47 low to middle income countries," MERIT Working Papers 2021-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. Millimet, Daniel L. & Roy, Jayjit, 2015. "Multilateral environmental agreements and the WTO," Economics Letters, Elsevier, vol. 134(C), pages 20-23.
    18. Verena Preusse & Manuel Santos Silva & Linda Steinhübel & Meike Wollni, 2024. "Covid‐19 and agricultural labor supply: Evidence from the rural–urban interface of an Indian mega‐city," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 391-415, April.
    19. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
    20. Ian K. McDonough & Constant I. Tra, 2017. "The impact of computer-based tutorials on high school math proficiency," Empirical Economics, Springer, vol. 52(3), pages 1041-1063, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jfpoli:v:112:y:2022:i:c:s0306919222001415. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.