IDEAS home Printed from https://ideas.repec.org/p/anf/wpaper/24.html
   My bibliography  Save this paper

Estimating Capacity Requirements of the National Company Law Tribunal: Notes from the Field

Author

Listed:
  • Bhargavi Zaveri-Shah

    (National University of Singapore)

  • Susan Thomas

    (xKDR Forum)

Abstract

A framework to determine the optimal strength of the National Company Law Tribunal (NCLT) is important, given it's central role as an adjudicator under the Companies Act, the Insolvency and Bankruptcy Code, and the Competition Commission of India. The ability to collect standardised, comprehensive and consistent data from the NCLT, is critical for this. Such data systems support the development of models to estimate the optimal strength of each bench of such a tribunal. In this paper, we explore the use of the weighted caseload method to estimate the capacity requirements of the NCLT, on a recurrent basis given the presence of data.

Suggested Citation

  • Bhargavi Zaveri-Shah & Susan Thomas, 2023. "Estimating Capacity Requirements of the National Company Law Tribunal: Notes from the Field," Working Papers 24, xKDR.
    • Handle: RePEc:anf:wpaper:24
    as

    Download full text from publisher

    File URL: https://papers.xkdr.org/papers/2023ThomasZaveri-Shah_Chapter21-TechnologyandAnalyticsforLawandJustice.pdf
    File Function: First version, 2023
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nick Robinson, 2013. "A Quantitative Analysis of the Indian Supreme Court's Workload," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 570-601, September.
    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.

      More about this item

      JEL classification:

      • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
      • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

      NEP fields

      This paper has been announced in the following NEP Reports:

      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:anf:wpaper:24. 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: Ami Dagli (email available below). General contact details of provider: https://www.papers.xkdr.org/ .

      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.