Board gender diversity and debt utilization: Evidence from the global microfinance industry

To support the continued expansion of their operations, microfinance institutions (MFIs) worldwide rely heavily on debt, which exposes them to bankruptcy risk. This underscores the need for prudent selection of debt instruments by MFIs. Therefore, this study aims to investigate the possible influenc...

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書誌詳細
出版年:Borsa Istanbul Review
主要な著者: Arpita Sharma, Swati Chauhan, Md Aslam Mia, Sunil Sangwan, Shoaib Alam Siddiqui, Sanjeev Kumar
フォーマット: 論文
言語:英語
出版事項: Elsevier 2024-05-01
主題:
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2214845024000322
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author Arpita Sharma
Swati Chauhan
Md Aslam Mia
Sunil Sangwan
Shoaib Alam Siddiqui
Sanjeev Kumar
author_facet Arpita Sharma
Swati Chauhan
Md Aslam Mia
Sunil Sangwan
Shoaib Alam Siddiqui
Sanjeev Kumar
author_sort Arpita Sharma
collection DOAJ
container_title Borsa Istanbul Review
description To support the continued expansion of their operations, microfinance institutions (MFIs) worldwide rely heavily on debt, which exposes them to bankruptcy risk. This underscores the need for prudent selection of debt instruments by MFIs. Therefore, this study aims to investigate the possible influence of board gender diversity on the choice of debt instruments utilized by MFIs. Data from unique 1670 MFIs in 93 countries, spanning the period of 2010–2018, were collected from the World Bank and analyzed using various econometric methods, including Random Effects Model (REM), Fixed Effects Model (FEM), Pooled Ordinary Least Squares (POLS), Generalized Least Squares (GLS), and endogeneity-corrected techniques such as the Generalized Method of Moments (GMM). The study revealed that gender-diverse boards tend to utilize fewer debt instruments, reflecting the risk-averse nature of the female board members, as observed in the existing literature. However, the statistical significance of these outcomes varies depending on the specific debt, proxies, sub-sample, and econometric methods considered in the analysis.
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spelling doaj-art-e28b60af1040438194194d5d22f76b4e2025-08-19T23:04:57ZengElsevierBorsa Istanbul Review2214-84502024-05-0124353054810.1016/j.bir.2024.02.012Board gender diversity and debt utilization: Evidence from the global microfinance industryArpita Sharma0Swati Chauhan1Md Aslam Mia2Sunil Sangwan3Shoaib Alam Siddiqui4Sanjeev Kumar5Symbiosis Institute of Business Management Pune, Symbiosis International, Deemed University, Pune, 412115, IndiaAtal Bihari Vajpayee Institute of Good Governance and Policy Analysis, Bhopal, Madhya Pradesh, 462003, IndiaSchool of Management, Universiti Sains Malaysia, 11800, Penang, Malaysia; Miyan Research Institute, International University of Business Agriculture and Technology, 1230, Dhaka, Bangladesh; Corresponding author. School of Management Universiti Sains Malaysia (USM), 11800, Penang, Malaysia.Institute of Rural Management Anand, Gujarat, 388001, IndiaSchool of Commerce, SVKM'S Narsee Monjee Institute of Management Studies Deemed to Be University, Indore Campus, 452005, IndiaDepartment of Accounting and Finance, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, 131001, IndiaTo support the continued expansion of their operations, microfinance institutions (MFIs) worldwide rely heavily on debt, which exposes them to bankruptcy risk. This underscores the need for prudent selection of debt instruments by MFIs. Therefore, this study aims to investigate the possible influence of board gender diversity on the choice of debt instruments utilized by MFIs. Data from unique 1670 MFIs in 93 countries, spanning the period of 2010–2018, were collected from the World Bank and analyzed using various econometric methods, including Random Effects Model (REM), Fixed Effects Model (FEM), Pooled Ordinary Least Squares (POLS), Generalized Least Squares (GLS), and endogeneity-corrected techniques such as the Generalized Method of Moments (GMM). The study revealed that gender-diverse boards tend to utilize fewer debt instruments, reflecting the risk-averse nature of the female board members, as observed in the existing literature. However, the statistical significance of these outcomes varies depending on the specific debt, proxies, sub-sample, and econometric methods considered in the analysis.http://www.sciencedirect.com/science/article/pii/S2214845024000322G21L31M14
spellingShingle Arpita Sharma
Swati Chauhan
Md Aslam Mia
Sunil Sangwan
Shoaib Alam Siddiqui
Sanjeev Kumar
Board gender diversity and debt utilization: Evidence from the global microfinance industry
G21
L31
M14
title Board gender diversity and debt utilization: Evidence from the global microfinance industry
title_full Board gender diversity and debt utilization: Evidence from the global microfinance industry
title_fullStr Board gender diversity and debt utilization: Evidence from the global microfinance industry
title_full_unstemmed Board gender diversity and debt utilization: Evidence from the global microfinance industry
title_short Board gender diversity and debt utilization: Evidence from the global microfinance industry
title_sort board gender diversity and debt utilization evidence from the global microfinance industry
topic G21
L31
M14
url http://www.sciencedirect.com/science/article/pii/S2214845024000322
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