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Efficiency and Distributional Fairness in a Bankruptcy Procedure: A Laboratory Experiment

  • Rajesh Kumar Acha ORCID logo EMAIL logo , Sumit Sarkar ORCID logo and Apratim Guha
Published/Copyright: April 14, 2025
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Abstract

We undertake a laboratory experiment to evaluate whether the corporate bankruptcy procedure employed under the current Indian law simultaneously achieves the dual objectives of efficiency and fairness. As the baseline scenario, we deploy the procedure used under the current Indian bankruptcy law. The law adopts a unique mandatory auction mechanism, which combines the claim distribution mechanism with the asset deployment process of the bankrupt firm. Results reveal that, under the existing mechanism, there exists a fairness-efficiency trade-off. If the outcome is efficient, i.e. if the value of the firm is maximized, then it is often distributionally unfair, i.e. the operational creditors do not get their fair share of claim recovery. In contrast, if the outcome is distributionally fair, then it may be inefficient. We introduced a mechanism that separates the deployment and distribution processes. Efficiency and fairness simultaneously improve under the modified mechanism.

JEL Classification: K22; C90; C92; D63

Corresponding author: Rajesh Kumar Acha, XLRI Xavier School of Management, Jamshedpur, India, E-mail:

Funding source: XLRI Xavier School of Management

Award Identifier / Grant number: XLRG2305

Award Identifier / Grant number: XLRG2306

Acknowledgment

The authors thank the participants of the Wharton-Harvard Insolvency and Restructuring Conference, held at The Wharton School, University of Pennsylvania, Philadelphia in September 2023, for their feedback that helped immensely in improving the quality of the paper.

  1. Research ethics: The study received ethics approval from the Institutional Review Board (IRB) of XLRI, Jamshedpur, India. Application number: XLRIJ-2023-05-02.

  2. Conflict of interest: None.

  3. Research funding: Sumit Sarkar and Apratim Guha gratefully acknowledge research grants (grant IDs XLRG2305 and XLRG2306) from XLRI Xavier School of Management, Jamshedpur, India.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/rle-2024-0023).


Received: 2024-02-07
Accepted: 2025-01-28
Published Online: 2025-04-14

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