IDEAS home Printed from https://ideas.repec.org/h/spr/isbchp/978-981-99-4906-9_7.html
   My bibliography  Save this book chapter

Social Protection Policies and Women’s Employment During COVID-19

In: Contextualizing the COVID Pandemic in India

Author

Listed:
  • Nikita Sangwan

    (Indian Statistical Institute)

  • Swati Sharma

    (Indian Institute of Technology)

Abstract

India imposed one of the strictest lockdowns to contain COVID-19, this brought all non-essential economic activities to a standstill. This was an unprecedented economic and health shock that affected the entire population, but the worst affected were the informal migrant workers who lived hand to mouth. Millions of them fled back to their native places seeking refuge from the economic uncertainties created by the sudden lockdown. However, this reverse migration resulted in an increased burden on rural economies in multiple ways. This chapter discusses the role played by rural social protection policies, particularly the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) and the Garib Kalyan Rojgar Abhiyaan (GKRA), in easing the burden on the labor market, with a focus on the provisions of these schemes on female labor force participation.

Suggested Citation

  • Nikita Sangwan & Swati Sharma, 2023. "Social Protection Policies and Women’s Employment During COVID-19," India Studies in Business and Economics, in: Indrani Gupta & Mausumi Das (ed.), Contextualizing the COVID Pandemic in India, chapter 0, pages 127-141, Springer.
  • Handle: RePEc:spr:isbchp:978-981-99-4906-9_7
    DOI: 10.1007/978-981-99-4906-9_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Covid-19; Rural labor market; Gender; Reverse migration; NREGA; GKRA;
    All these keywords.

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    Statistics

    Access and download statistics

    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:spr:isbchp:978-981-99-4906-9_7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.