IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v84y2022icp23-39.html
   My bibliography  Save this article

Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?

Author

Listed:
  • Gulati, Rachita

Abstract

This paper explores the differences in the trajectory of bank efficiency in India in response to two recent episodes of banking crises: the global financial crisis (2007–2009) and local non-performing loans crisis (2013–2017). The study also seeks to find whether the observed impacts of these episodes of banking crises are uniform across two different perspectives of modelling bank efficiency. To obtain risk-adjusted bank efficiency estimates, we intently follow the suggestion of Simper et al. (2017) on choosing an optimum set of internal risk management control variables and employ a non-oriented directional distance function (DDF) model with quasi-fixed inputs. The results suggest that, by and large, public and private banks, irrespective of banking crises, are more efficient in pursuing the regulator’s objective of developing an efficient intermediation process rather than their own objective of profit-maximisation over the sample period from 2001 to 2019. Foreign banks are more adroit in accomplishing the goal of income maximisation. The findings indicate that both exogenous and endogenous banking crises have had distinctive, peculiar, asymmetric impacts on the efficiency levels in realising policy objectives by banks. The global financial crisis essentially has had no hostile effect on the bank’s efficiency in achieving the regulator’s goal. In stark contrast, the local banking crisis has had a significant adverse effect on the income-generating efficiency of all the bank groups. Overall, the impacts of the underlined banking crises are observed to be perspective-dependent.

Suggested Citation

  • Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
  • Handle: RePEc:eee:quaeco:v:84:y:2022:i:c:p:23-39
    DOI: 10.1016/j.qref.2022.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976922000126
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.qref.2022.01.004?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.

    References listed on IDEAS

    as
    1. Cheng, Gang & Zervopoulos, Panagiotis D., 2014. "Estimating the technical efficiency of health care systems: A cross-country comparison using the directional distance function," European Journal of Operational Research, Elsevier, vol. 238(3), pages 899-910.
    2. Eichengreen, Barry & Gupta, Poonam, 2013. "The financial crisis and Indian banks: Survival of the fittest?," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 138-152.
    3. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    4. Avkiran, Necmi K. & Thoraneenitiyan, Nakhun, 2010. "Purging data before productivity analysis," Journal of Business Research, Elsevier, vol. 63(3), pages 294-302, March.
    5. Sunil Kumar & Rachita Gulati, 2014. "Deregulation and Efficiency of Indian Banks," India Studies in Business and Economics, Springer, edition 127, number 978-81-322-1545-5, December.
    6. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    7. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    8. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    9. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    10. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    11. Nisar Ahmad & Amjad Naveed & Shabbir Ahmad & Irfan Butt, 2020. "Banking Sector Performance, Profitability, And Efficiency: A Citation‐Based Systematic Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(1), pages 185-218, February.
    12. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    13. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    14. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    15. Bos, J.W.B. & Koetter, M. & Kolari, J.W. & Kool, C.J.M., 2009. "Effects of heterogeneity on bank efficiency scores," European Journal of Operational Research, Elsevier, vol. 195(1), pages 251-261, May.
    16. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    17. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.
    18. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2015. "How to properly decompose economic efficiency using technical and allocative criteria with non-homothetic DEA technologies," European Journal of Operational Research, Elsevier, vol. 240(3), pages 882-891.
    19. Asimakopoulos, Grigorios & Chortareas, Georgios & Xanthopoulos, Michail, 2018. "The eurozone financial crisis and bank efficiency asymmetries: Peripheral versus core economies," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
    20. Stewart, Chris & Matousek, Roman & Nguyen, Thao Ngoc, 2016. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 96-111.
    21. Georgios E. Chortareas & Claudia Girardone & Alexia Ventouri, 2011. "Financial Frictions, Bank Efficiency and Risk: Evidence from the Eurozone," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(1-2), pages 259-287, January.
    22. Oleg Badunenko & Harald Tauchmann, 2019. "Simar and Wilson two-stage efficiency analysis for Stata," Stata Journal, StataCorp LP, vol. 19(4), pages 950-988, December.
    23. Kent Matthews & Xu Zhang & Jianguang Guo, 2009. "Nonperforming Loans and Productivity in Chinese Banks, 1997-2006," Chinese Economy, Taylor & Francis Journals, vol. 42(2), pages 30-47, March.
    24. Mukesh Kumar & Vincent Charles & Chandra Sekhar Mishra, 2016. "Evaluating the performance of indian banking sector using DEA during post-reform and global financial crisis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(1), pages 156-172, February.
    25. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    26. Rachita Gulati & Sunil Kumar, 2017. "Analysing banks’ intermediation and operating efficiencies using the two-stage network DEA model," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(4), pages 500-516, April.
    27. Allen N. Berger & David B. Humphrey, 1992. "Measurement and Efficiency Issues in Commercial Banking," NBER Chapters, in: Output Measurement in the Service Sectors, pages 245-300, National Bureau of Economic Research, Inc.
    28. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    29. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2012. "Environmental factors affecting Hong Kong banking: A post-Asian financial crisis efficiency analysis," Global Finance Journal, Elsevier, vol. 23(3), pages 184-201.
    30. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    31. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    32. Kenjegalieva, Karligash & Simper, Richard & Weyman-Jones, Tom & Zelenyuk, Valentin, 2009. "Comparative analysis of banking production frameworks in eastern european financial markets," European Journal of Operational Research, Elsevier, vol. 198(1), pages 326-340, October.
    33. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    34. Brissimis, Sophocles N. & Delis, Manthos D. & Papanikolaou, Nikolaos I., 2008. "Exploring the nexus between banking sector reform and performance: Evidence from newly acceded EU countries," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2674-2683, December.
    35. Sathye, Milind, 2003. "Efficiency of banks in a developing economy: The case of India," European Journal of Operational Research, Elsevier, vol. 148(3), pages 662-671, August.
    36. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    37. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    38. Chen, Ku-Hsieh, 2012. "Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1911-1927.
    39. George J. Benston, 1965. "Branch Banking And Economies Of Scale," Journal of Finance, American Finance Association, vol. 20(2), pages 312-331, May.
    40. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    41. Kumbhakar, Subal C & Sarkar, Subrata, 2003. "Deregulation, Ownership, and Productivity Growth in the Banking Industry: Evidence from India," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(3), pages 403-424, June.
    42. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    43. Leightner, Jonathan E. & Lovell, C. A. Knox, 1998. "The Impact of Financial Liberalization on the Performance of Thai Banks," Journal of Economics and Business, Elsevier, vol. 50(2), pages 115-131, March.
    44. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    45. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    46. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    47. Ning Zhu & Bing Wang & Zhiqian Yu & Yanrui Wu, 2016. "Technical Efficiency Measurement Incorporating Risk Preferences: An Empirical Analysis of Chinese Commercial Banks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 610-624, March.
    48. Ruhul Salim & Amir Arjomandi & K. Hervé Dakpo, 2017. "Banks’ efficiency and credit risk analysis using by-production approach: the case of Iranian banks," Applied Economics, Taylor & Francis Journals, vol. 49(30), pages 2974-2988, June.
    49. Valentin Zelenyuk & Vitaliy Zheka, 2006. "Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine," Journal of Productivity Analysis, Springer, vol. 25(1), pages 143-157, April.
    50. A. R. Jayaraman & Pradip Bhuyan, 2020. "Impact of NPA and loan write-offs on the profit efficiency of Indian banks," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(1), pages 35-48, March.
    51. Cevdet Denizer & Mustafa Dinc & Murat Tarimcilar, 2007. "Financial liberalization and banking efficiency: evidence from Turkey," Journal of Productivity Analysis, Springer, vol. 27(3), pages 177-195, June.
    52. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    53. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    54. Mansour, Rana & El Moussawi, Chawki, 2020. "Efficiency, technical progress and productivity of Arab banks: A non-parametric approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 191-208.
    55. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    56. Juliane Gerstenberger & Gunther Schnabl, 2017. "The Impact of Japanese Monetary Policy Crisis Management on the Japanese Banking Sector," CESifo Working Paper Series 6440, CESifo.
    57. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
    58. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    59. Fadzlan Sufian, 2010. "Financial crisis and the efficiency of the Malaysian banking sector: foreign vs. domestic banks," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 3(2), pages 140-158.
    60. Park, Kang H. & Weber, William L., 2006. "A note on efficiency and productivity growth in the Korean Banking Industry, 1992-2002," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2371-2386, August.
    61. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May.
    62. Richard Simper & Maximilian J. B. Hall & WenBin Liu & Valentin Zelenyuk & Zhongbao Zhou, 2017. "How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks," Annals of Operations Research, Springer, vol. 250(1), pages 105-127, March.
    63. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    64. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    65. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    66. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    67. Fare, R. & Grosskopf, S. & Pasurka, C., 1986. "Effects on relative efficiency in electric power generation due to environmental controls," Resources and Energy, Elsevier, vol. 8(2), pages 167-184, June.
    68. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    69. Koutsomanoli-Filippaki, Anastasia & Margaritis, Dimitris & Staikouras, Christos, 2009. "Efficiency and productivity growth in the banking industry of Central and Eastern Europe," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 557-567, March.
    70. Akhigbe, Aigbe & McNulty, James E., 2011. "Bank monitoring, profit efficiency and the commercial lending business model," Journal of Economics and Business, Elsevier, vol. 63(6), pages 531-551.
    71. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    72. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    73. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    74. Barry Howcroft & Ali Ataullah, 2006. "Total factor productivity change: An examination of the commercial banking industry in India and Pakistan," The Service Industries Journal, Taylor & Francis Journals, vol. 26(2), pages 189-202, March.
    75. Huang, Tai-Hsin & Chung, Ming-Tai, 2017. "Do undesirables matter on the examination of banking efficiency using stochastic directional distance functions," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 194-211.
    76. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    77. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.
    78. Anca Podpiera & Jiri Podpiera, 2005. "Deteriorating Cost Efficiency in Commercial Banks Signals an Increasing Risk of Failure," Working Papers 2005/06, Czech National Bank.
    79. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    80. Sushanta Mallick & Aarti Rughoo & Nickolaos G. Tzeremes & Wei Xu, 2020. "Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 217-237, June.
    81. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    82. Akhigbe, Aigbe & McNulty, James E. & Stevenson, Bradley A., 2017. "Does the form of ownership affect firm performance? Evidence from US bank profit efficiency before and during the financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 120-129.
    83. Brissimis, Sophocles N. & Delis, Manthos D. & Papanikolaou, Nikolaos I., 2008. "Exploring the nexus between banking sector reform and performance: Evidence from newly acceded EU countries," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2674-2683, December.
    84. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
    85. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    86. Rolf Fare & Shawna Grosskopf & William Weber, 2004. "The effect of risk-based capital requirements on profit efficiency in banking," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1731-1743.
    87. Sunil Kumar & Rachita Gulati, 2008. "Evaluation of technical efficiency and ranking of public sector banks in India," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(7), pages 540-568, September.
    88. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    89. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    90. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    91. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    92. Zhao, Tianshu & Casu, Barbara & Ferrari, Alessandra, 2010. "The impact of regulatory reforms on cost structure, ownership and competition in Indian banking," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 246-254, January.
    93. Renato A. Villano & Carolyn-Dung T. T. Tran, 2018. "Performance of private higher education institutions in Vietnam: evidence using DEA-based bootstrap directional distance approach with quasi-fixed inputs," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5966-5978, November.
    94. Harris, Oneil & Huerta, Daniel & Ngo, Thanh, 2013. "The impact of TARP on bank efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 85-104.
    95. Alqahtani, Faisal & Mayes, David G. & Brown, Kym, 2017. "Islamic bank efficiency compared to conventional banks during the global crisis in the GCC region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 58-74.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

    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.
    1. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    2. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    3. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    4. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    5. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.
    6. Zaman, Mohammad Shahid & Valiyattoor, Vipin & Bhandari, Anup Kumar, 2022. "Dynamics of total factor productivity growth: An empirical analysis of Indian commercial banks," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    7. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    8. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
    9. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    10. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    11. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).
    12. Mohammad Shahid Zaman & Anup Kumar Bhandari, 2020. "Financial deregulation, competition and cost efficiency of Indian commercial banks: is there any convergence?," Indian Economic Review, Springer, vol. 55(2), pages 283-312, December.
    13. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    14. Mansour, Rana & El Moussawi, Chawki, 2020. "Efficiency, technical progress and productivity of Arab banks: A non-parametric approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 191-208.
    15. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    16. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.
    17. Mostak Ahamed, M., 2017. "Asset quality, non-interest income, and bank profitability: Evidence from Indian banks," Economic Modelling, Elsevier, vol. 63(C), pages 1-14.
    18. Chau Le & Aleksandar Šević & Panayiotis G. Tzeremes & Trong Ngo, 2022. "Bank efficiency in Vietnam: Do scale expansion strategies and non‐performing loans matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 822-843, January.
    19. Fukuyama, Hirofumi & Matousek, Roman, 2018. "Nerlovian revenue inefficiency in a bank production context: Evidence from Shinkin banks," European Journal of Operational Research, Elsevier, vol. 271(1), pages 317-330.
    20. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2020. "A Nerlovian cost inefficiency two-stage DEA model for modeling banks’ production process: Evidence from the Turkish banking system," Omega, Elsevier, vol. 95(C).

    More about this item

    Keywords

    Banking crisis; Risk-adjusted efficiency; Non-performing loans; Data envelopment analysis; Directional distance function; Metafrontier; Indian banks;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:eee:quaeco:v:84:y:2022:i:c:p:23-39. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620167 .

    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.