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A non-parametric index of corporate governance in the banking industry: an application to Indian data

Author

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  • Gulati, Rachita
  • Kattumuri, Ruth
  • Kumar, Sunil
Abstract
This paper presents a methodological framework for constructing a non-parametric index of corporate governance for banks. The index is constructed by aggregating six distinct dimensional indices capturing different dimensions of corporate governance, namely board effectiveness, audit function, risk management, remuneration, shareholder rights and information, and disclosure and transparency. For aggregation, a tailored version of data envelopment analysis (DEA) approach which is popularly known as constrained ‘Benefit-of-the-Doubt (BoD)’ model is employed. This approach is unique and distinctive in the sense that it requires no a priori knowledge of weights, and assigns endogenous weights obtained from actual data to individual dimensions of bank governance in order to construct a composite index of corporate governance. This methodological framework has illustrated by applying it for a data set of 40 Indian banks operating in the year 2017. The data set has been compiled using 58 governance regulations as defined by relevant jurisdictions.

Suggested Citation

  • Gulati, Rachita & Kattumuri, Ruth & Kumar, Sunil, 2020. "A non-parametric index of corporate governance in the banking industry: an application to Indian data," LSE Research Online Documents on Economics 100449, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:100449
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    File URL: http://eprints.lse.ac.uk/100449/
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    Cited by:

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    2. Rajesh, R. & Rajeev, A. & Rajendran, Chandrasekharan, 2022. "Corporate social performances of firms in select developed economies: A comparative study," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    3. Shi, Xiao & Wang, Libo & Emrouznejad, Ali, 2023. "Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    4. Agovino, Massimiliano & Cerciello, Massimiliano & D'Isanto, Federica, 2021. "Religious participation and attitude towards LGBT+ communities. The case of Italy," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    5. Jung, Jihye & Choi, In-Chan, 2022. "A multi-objective optimization model for dissolving circular shareholdings in Korean conglomerates," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    6. Angilella, Silvia & Doumpos, Michalis & Pappalardo, Maria Rosaria & Zopounidis, Constantin, 2024. "Assessing the performance of banks through an improved sigma-mu multicriteria analysis approach," Omega, Elsevier, vol. 127(C).
    7. Faozi A. Almaqtari & Hamood Mohd. Al-Hattami & Khalid M. E. Al-Nuzaili & Mohammed A. Al-Bukhrani, 2020. "Corporate governance in India: A systematic review and synthesis for future research," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1803579-180, January.
    8. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.

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    More about this item

    Keywords

    corporate governance index; data envelopment analysis; benefit-of-the-doubt model; Indian banks; composite indicators;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

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