IDEAS home Printed from https://ideas.repec.org/a/bpj/ajlecn/v11y2020i3p21n2.html
   My bibliography  Save this article

India’s Inequality Trap: The Role Played by Taxation Policies and Automation

Author

Listed:
  • Agrawal Binit

    (National Law School of India University, Bangalore, 560242, India)

Abstract

Recent increases in automation and unemployment have aggravated income inequality in India. Thus, it is imperative for policy-makers to cut down on inequality and unemployment while promoting planned automation. This paper proposes a joint solution to reform India’s taxation framework to fight income inequality while promoting planned automation. The paper finds that the current tax policies are severely increasing income inequality in India, and this, in turn, has lead to alarming consumption and economic slowdown in key industries. Unable to encourage the demand side, industries have responded by cutting down labour costs. This has created an inequality trap. To bring India out of this trap, it is imperative that India moves ahead with taxing concentrated capital and invests in re-skilling. Further, India also must give effect to Baumol’s cost disease insight and create new job opportunities for the rural youth, which is at the highest risk of unemployment.

Suggested Citation

  • Agrawal Binit, 2020. "India’s Inequality Trap: The Role Played by Taxation Policies and Automation," Asian Journal of Law and Economics, De Gruyter, vol. 11(3), pages 1-21, December.
  • Handle: RePEc:bpj:ajlecn:v:11:y:2020:i:3:p:21:n:2
    DOI: 10.1515/ajle-2020-0040
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ajle-2020-0040
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/ajle-2020-0040?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.

    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:bpj:ajlecn:v:11:y:2020:i:3:p:21:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.