Revisiting the Efficiency of Indian Banking Sector: An Analysis of Comparative Models Through Data Envelopment Analysis
Keywords:
Banking, DEA, Efficiency, Ownership.
Abstract
This study examines the efficiency of the overall Indian banking industry using Data Envelopment Analysis (DEA) and to perform a comparative efficiency analysis of public, private, and foreign banks using six varied forms. Also, providing ranks to the banks based on their efficiency. The study incorporates BCC output-oriented DEA model using a sample of 50 Indian banks (public banks = 17, private banks = 18, foreign banks = 15) for a period ranging from 2009-10 to 2018-19, hence incorporating the after-effects of the financial crisis and demonetization, this study uses panel data from 2009-10 to 2018-19. The results showed that most of the Indian banks fall on the efficient side or are near to full efficiency. However, public banks outperform private and foreign banks in terms of their average efficiency. Results also specify that the performance of banks is sensitive to input-output variables, units under evaluation, and choice of the model. The current study has just focused on the internal factors for analyzing the efficiency of Indian banks; however, certain external factors might also impact the banks’ efficiency.
References
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Ashuri, B., Wang, J., Shahandashti, M., & Baek, M. (2019). A data envelopment analysis (DEA) model for building energy benchmarking. Journal of Engineering, Design and Technology, 17(4), 747–768.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Bhattacharyya, A., Lovell, C. A. K., & Sahay, P. (1997). The impact of liberalization on the productive efficiency of Indian commercial banks. European Journal of Operational Research, 98(2), 332–345.
Chaluvadi, S., Raut, R., & Gardas, B. B. (2018). Measuring the performance efficiency of banks in a developing economy: The case study of Indian public sector vs private sector. Benchmarking: An International Journal, 25(2), 575–606. https://doi.org/10.1108/BIJ-10-2016-0157
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Das, A., & Ghosh, S. (2009). Financial Deregulation and Profit Efficiency : A Non-parametric Analysis of Indian Banks. Journal of Economic and Business, 61(6), 509–528.
Desta, T. S. (2016). Are the best African banks really the best ? A Malmquist data envelopment analysis. Meditari Accountancy Research, 24(4), 588–610.
Elyasiani, E., & Mehdian, S. (1995). The Comparative Efficiency Performance of Small and Large US Commercial Banks in the Pre- and Post Deregulation Eras. Applied Economics, 27, 1069–1079.
Ferrier, G. D., & Lovell, C. A. K. (1990). Measuring Cost Efficiency in Bankng : Econometric and linear programming evidence. Journal of Econometrics, 46, 229–245.
Fethi, M. D., Shaban, M., & Weyman-Jones, T. (2011). Liberalisation, Privatisation and the Productivity of Egyptian banks: a non-parametric approach. The Service Industries Journal, 31(7), 1143–1163.
Fried, H. O., Lovell, C. A. K., & Schmidt, S. S. (1993). The Measurement of Productive Efficiency: Techniques and Applications. Oxford university.
George, S. A., & Rangaraj, N. (2008). A performance benchmarking study of Indian Railway zones. Benchmarking: An International Journal, 15(5), 599–617.
Golany, B., & Storbeck, J. E. (1999). A data envelopment analysis of the operational efficiency of bank branches. Interfaces, 29(3), 14–26. https://doi.org/10.1287/inte.29.3.14
Grmanová, E., & Ivanová, E. (2018). Efficiency of banks in Slovakia : Measuring by DEA models. Journal of International Studies, 11(1), 257–272.
Hadad, M. D., Hall, M. J. B., Kenjegalieva, K., Santoso, W., Satria, R., & Simper, R. (2008). Efficiency in Indonesian banking: Recent evidence (WP 2008-13).
Hauner, D., & Peiris, S. J. (2005). Bank Efficiency and Competition in Low-Income Countries : The Case of Uganda (WP/05/240). IMF Working Paper.
Ho, C.-T., & Zhu, D.-S. (2004). Performance measurement of Taiwan’s commercial banks. International Journal of Productivity and Performance Management, 53(5), 425–434. https://doi.org/10.1108/17410400410545897
Howland, M., & Rowse, J. (2006). Measuring bank branch efficiency using data envelopment analysis: Managerial and implementation issues. Information Systems and Operational Research, 44(1), 49–63. https://doi.org/10.1080/03155986.2006.11732739
Ishwarya, J. (2019). A Study on Mergers and Acquisition of Banks and a Case Study on SBI and its Associates. International Journal of Trend in Research and Development, September, 22–26.
Isik, I. (2007). Bank ownership and productivity developments : Evidence from Turkey. Studies in Economics and Finance, 24(2), 115–139.
Jagwani, B. (2012). Efficiency Measurement in the Indian Banking Industry : An Application of Data Envelopment Analysis. Vision, 16(4), 315–331.
Janet, J. X., Gan, C., & Hu, B. (2015). An empirical analysis of China’s Big four state-owned banks’ performance : A data envelopment analysis. Journal of Banking Regulation, 16, 1–21.
Jemric, I., & Vujcic, B. (2002). Efficiency of Banks in Croatia : A DEA Approach. Comparative Economic Studies, XLIV(2), 169–193.
Jreisat, A., Hassan, H., & Shankar, S. (2018). Determinants of the Productivity Change for the Banking Sector in Egypt. Global Tensions in Financial Markets (Research in Finance), 34, 86–116. https://doi.org/10.1108/S0196-382120170000034011
Kamarudin, F., Sufian, F., Aina, N., Anwar, M., & Hussain, H. I. (2019). Bank Efficiency in Malaysia a DEA Approach. Journal of Central Banking Theory and Practice, 8(1), 133–162.
Kantor, J., & Maital, S. (1999). Measuring Efficiency by Product Group: Integrating DEA with Activity-Based Accounting in a Large Mideast Bank. Interfaces, 29(3), 27–36.
Keskin, B., & Köksal, C. D. (2019). A hybrid AHP/DEA-AR model for measuring and comparing the efficiency of airports. International Journal of Productivity and Performance Management, 68(3), 524–541.
Kordrostami, S., Amirteimoori, A., & Noveiri, M. J. S. (2016). Ranking of bank branches with undesirable and fuzzy data: A DEA-based approach. Iranian Journal of Optimization, 8(2), 71–77.
Kumar, S., & Gulati, R. (2009). Did efficiency of Indian public sector banks converge with banking reforms? International Review of Economics, 56(1), 47–84. https://doi.org/10.1007/s12232-008-0057-2
Kwak, N. K., Chun, Y. S., & Kim, S. (2016). Benchmarking of rail transport service performance through DEA for Indian railways. The International Journal of Logistic Management, 27(3), 629–649.
Kwon, H., Stoeberl, P. A., & Joo, S. (2008). Measuring comparative efficiencies and merger impacts of wireless communication companies. Benchmarking: An International Journal, 15(3), 212–224.
Lau, K. H. (2012). Distribution network rationalisation through benchmarking with DEA. Benchmarking: An International Journal, 19(6), 668–689.
Malhotra, R., Malhotra, D. K., & Poteau, R. R. (2011). A DEA Based Multidimensional Framework for Analyzing Commercial Banks. Proceedings of the Northeast Business & Economics Association, 281.
Mante, B., & O’Brien, G. (2002). Efficiency measurement of Australian public sector organisations. Journal of Educational Administration, 40(3), 274–298.
Matthews, K., & Ismail, M. (2006). Efficiency and Productivity Growth of Domestic and Foreign Commercial Banks in Malaysia (E2006/2).
Mehta, K., Sharma, R., & Vyas, V. (2019). Efficiency and ranking of sustainability index of India using DEA-TOPSIS. Journal of Indian Business Research, 11(2), 179–199.
Mercan, M., Reisman, A., Yolalan, R., & Emel, A. B. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis. Socio-Economic Planning Sciences, 37, 185–202.
Mukherjee, A., Nath, P., & Pal, M. N. (2002). Performance benchmarking and strategic homogeneity of Indian banks. International Journal of Bank Marketing, 20(3), 122–139. https://doi.org/10.1108/02652320210430965
Ofori-sasu, D., Abor, J. Y., & Mensah, Lord. (2019). Funding structure and technical efficiency - A data envelopment analysis ( DEA ) approach for banks in Ghana. International Journal of Managerial Finance, 15(4), 425–443.
Olson, D., & Zoubi, T. A. (2011). Efficiency and bank profitability in MENA countries. Emerging Markets Review, 12(2), 94–110. https://doi.org/10.1016/j.ememar.2011.02.003
Paradi, J. C., Sherman, H. D., & Tam, F. K. (2018). Bank Branch Operational Studies Using DEA. In Data Envelopment Analysis in the Financial Services Industry (pp. 145-158). Springer, Cham.
Patel, R. (2018). Pre & Post-Merger Financial Performance: An Indian Perspective. Journal of Central Banking Theory and Practice, 7(3), 181–200. https://doi.org/10.2478/jcbtp-2018-0029
Mohan, T., & Ray, S. C. (2004). Comparing Performance of Public and Private Sector Banks : A Revenue Maximisation Efficiency Approach. Economic & Political Weekly, 39(12), 1271–1276.
Rangan, N., Grabowski, R., Aly, H. Y., & Pasurka, C. (1988). The technical efficiency of US banks. Economics Letters, 28(2), 169–175.
Ray, S. C., & Das, A. (2010). Distribution of cost and profit efficiency : Evidence from Indian banking. European Journal of Operational Research, 201(1), 297–307. https://doi.org/10.1016/j.ejor.2009.02.030
Řepková, I. (2013). Estimation of banking efficiency in the Czech Republic: Dynamic data envelopment analysis. DANUBE: Law and Economics Review, 4(4), 261–275. https://doi.org/10.2478/danb-2013-0014
Rezvanian, R., Rao, N., & Mehdian, S. M. (2008). Efficiency change , technological progress and productivity growth of private, public and foreign banks in India : evidence from the post- liberalization era. Applied Financial Economics, 18(9), 701–713. https://doi.org/10.1080/09603100701222317
Sanjeev, G. M. (2006). Data Envelopment Analysis (DEA) for Measuring Technical Efficiency of Banks. Vision- The Journal of Business Prespective, 10(1), 13–27.
Sanjeev, G. M. (2009). Efficiency of Indian Public Sector Banks: An Application of DEA Approach. The IUP Journal of Applied Finance, 15(11), 52–61.
Sathye, M. (2003). Efficiency of banks in a developing economy : The case of India. European Journal of Operational Research, 148, 662–671.
Shanmugam, K. R., & Das, A. (2004). Efficiency of Indian commercial banks during the reform period. Applied Financial Economics, 14(9), 681–686. https://doi.org/10.1080/0960310042000233458
Sharma, A. V., & Dipasha, G. (2018). Technical efficiency of private sector hospitals in India using data envelopment analysis. Benchmarking: An International Journal, 25(9), 3570–3591.
Sherman, H. D., & Gold, F. (1985). Bank branch operating efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking & Finance, 9(2), 297–315.
Sigala, M. (2003). The information and communication technologies productivity impact on the UK hotel sector. International Journal of Operations & Production Management, 23(10), 1224–1245.
Singh, G., & Gupta, S. (2015). An Impact of Mergers and Acquisitions on Productivity and Profitability of Consolidation Banking Sector in India. Journal of Research in Management & Technology, 4(9), 33–48.
Sufian, F. (2009). Determinants of bank efficiency during unstable macroeconomic environment : Empirical evidence from Malaysia. Research in International Business and Finance, 23, 54–77.
Tahir, I. M., Bakar, N. M. A., & Haron, S. (2009). Evaluating Efficiency of Malaysian Banks Using Data Envelopment Analysis. International Journal of Business and Management, 4(8), 96–106.
Tamatam, R., Dutta, P., Dutta, G., & Lessmann, S. (2019). Efficiency analysis of Indian banking industry over the period 2008–2017 using data envelopment analysis. Benchmarking: An International Journal.
Wang, C., Luu, Q., Nguyen, T., & Day, J.-D. (2019). Assessing Bank Performance Using Dynamic SBM Model. Mathematics, 7(1), 1–13.
Wanke, P., Kalam, A., Emrouznejad, A., & Antunes, J. (2019). A dynamic network DEA model for accounting and financial indicators : A case of efficiency in MENA banking. International Review of Economics and Finance, 61, 52–68.
Yannick, G. Z. S., Hongzhong, Z., & Thierry, B. (2016). Technical Efficiency Assessment Using Data Envelopment Analysis: An Application to the Banking Sector of Côte D’Ivoire. Procedia - Social and Behavioral Sciences, 235, 198–207. https://doi.org/10.1016/j.sbspro.2016.11.015
Zhao, T., Casu, B., & Ferrari, A. (2008). Deregulation and productivity growth : a study of Indian commercial banking. International Journal of Business Performance Management, 10(4), 318–343.
Zhou, X., Xu, Z., Chai, J., Yao, L., Wang, S., & Lev, B. (2019). Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model. Omega, 85, 68–82.
Ashuri, B., Wang, J., Shahandashti, M., & Baek, M. (2019). A data envelopment analysis (DEA) model for building energy benchmarking. Journal of Engineering, Design and Technology, 17(4), 747–768.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
Bhattacharyya, A., Lovell, C. A. K., & Sahay, P. (1997). The impact of liberalization on the productive efficiency of Indian commercial banks. European Journal of Operational Research, 98(2), 332–345.
Chaluvadi, S., Raut, R., & Gardas, B. B. (2018). Measuring the performance efficiency of banks in a developing economy: The case study of Indian public sector vs private sector. Benchmarking: An International Journal, 25(2), 575–606. https://doi.org/10.1108/BIJ-10-2016-0157
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Das, A., & Ghosh, S. (2009). Financial Deregulation and Profit Efficiency : A Non-parametric Analysis of Indian Banks. Journal of Economic and Business, 61(6), 509–528.
Desta, T. S. (2016). Are the best African banks really the best ? A Malmquist data envelopment analysis. Meditari Accountancy Research, 24(4), 588–610.
Elyasiani, E., & Mehdian, S. (1995). The Comparative Efficiency Performance of Small and Large US Commercial Banks in the Pre- and Post Deregulation Eras. Applied Economics, 27, 1069–1079.
Ferrier, G. D., & Lovell, C. A. K. (1990). Measuring Cost Efficiency in Bankng : Econometric and linear programming evidence. Journal of Econometrics, 46, 229–245.
Fethi, M. D., Shaban, M., & Weyman-Jones, T. (2011). Liberalisation, Privatisation and the Productivity of Egyptian banks: a non-parametric approach. The Service Industries Journal, 31(7), 1143–1163.
Fried, H. O., Lovell, C. A. K., & Schmidt, S. S. (1993). The Measurement of Productive Efficiency: Techniques and Applications. Oxford university.
George, S. A., & Rangaraj, N. (2008). A performance benchmarking study of Indian Railway zones. Benchmarking: An International Journal, 15(5), 599–617.
Golany, B., & Storbeck, J. E. (1999). A data envelopment analysis of the operational efficiency of bank branches. Interfaces, 29(3), 14–26. https://doi.org/10.1287/inte.29.3.14
Grmanová, E., & Ivanová, E. (2018). Efficiency of banks in Slovakia : Measuring by DEA models. Journal of International Studies, 11(1), 257–272.
Hadad, M. D., Hall, M. J. B., Kenjegalieva, K., Santoso, W., Satria, R., & Simper, R. (2008). Efficiency in Indonesian banking: Recent evidence (WP 2008-13).
Hauner, D., & Peiris, S. J. (2005). Bank Efficiency and Competition in Low-Income Countries : The Case of Uganda (WP/05/240). IMF Working Paper.
Ho, C.-T., & Zhu, D.-S. (2004). Performance measurement of Taiwan’s commercial banks. International Journal of Productivity and Performance Management, 53(5), 425–434. https://doi.org/10.1108/17410400410545897
Howland, M., & Rowse, J. (2006). Measuring bank branch efficiency using data envelopment analysis: Managerial and implementation issues. Information Systems and Operational Research, 44(1), 49–63. https://doi.org/10.1080/03155986.2006.11732739
Ishwarya, J. (2019). A Study on Mergers and Acquisition of Banks and a Case Study on SBI and its Associates. International Journal of Trend in Research and Development, September, 22–26.
Isik, I. (2007). Bank ownership and productivity developments : Evidence from Turkey. Studies in Economics and Finance, 24(2), 115–139.
Jagwani, B. (2012). Efficiency Measurement in the Indian Banking Industry : An Application of Data Envelopment Analysis. Vision, 16(4), 315–331.
Janet, J. X., Gan, C., & Hu, B. (2015). An empirical analysis of China’s Big four state-owned banks’ performance : A data envelopment analysis. Journal of Banking Regulation, 16, 1–21.
Jemric, I., & Vujcic, B. (2002). Efficiency of Banks in Croatia : A DEA Approach. Comparative Economic Studies, XLIV(2), 169–193.
Jreisat, A., Hassan, H., & Shankar, S. (2018). Determinants of the Productivity Change for the Banking Sector in Egypt. Global Tensions in Financial Markets (Research in Finance), 34, 86–116. https://doi.org/10.1108/S0196-382120170000034011
Kamarudin, F., Sufian, F., Aina, N., Anwar, M., & Hussain, H. I. (2019). Bank Efficiency in Malaysia a DEA Approach. Journal of Central Banking Theory and Practice, 8(1), 133–162.
Kantor, J., & Maital, S. (1999). Measuring Efficiency by Product Group: Integrating DEA with Activity-Based Accounting in a Large Mideast Bank. Interfaces, 29(3), 27–36.
Keskin, B., & Köksal, C. D. (2019). A hybrid AHP/DEA-AR model for measuring and comparing the efficiency of airports. International Journal of Productivity and Performance Management, 68(3), 524–541.
Kordrostami, S., Amirteimoori, A., & Noveiri, M. J. S. (2016). Ranking of bank branches with undesirable and fuzzy data: A DEA-based approach. Iranian Journal of Optimization, 8(2), 71–77.
Kumar, S., & Gulati, R. (2009). Did efficiency of Indian public sector banks converge with banking reforms? International Review of Economics, 56(1), 47–84. https://doi.org/10.1007/s12232-008-0057-2
Kwak, N. K., Chun, Y. S., & Kim, S. (2016). Benchmarking of rail transport service performance through DEA for Indian railways. The International Journal of Logistic Management, 27(3), 629–649.
Kwon, H., Stoeberl, P. A., & Joo, S. (2008). Measuring comparative efficiencies and merger impacts of wireless communication companies. Benchmarking: An International Journal, 15(3), 212–224.
Lau, K. H. (2012). Distribution network rationalisation through benchmarking with DEA. Benchmarking: An International Journal, 19(6), 668–689.
Malhotra, R., Malhotra, D. K., & Poteau, R. R. (2011). A DEA Based Multidimensional Framework for Analyzing Commercial Banks. Proceedings of the Northeast Business & Economics Association, 281.
Mante, B., & O’Brien, G. (2002). Efficiency measurement of Australian public sector organisations. Journal of Educational Administration, 40(3), 274–298.
Matthews, K., & Ismail, M. (2006). Efficiency and Productivity Growth of Domestic and Foreign Commercial Banks in Malaysia (E2006/2).
Mehta, K., Sharma, R., & Vyas, V. (2019). Efficiency and ranking of sustainability index of India using DEA-TOPSIS. Journal of Indian Business Research, 11(2), 179–199.
Mercan, M., Reisman, A., Yolalan, R., & Emel, A. B. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis. Socio-Economic Planning Sciences, 37, 185–202.
Mukherjee, A., Nath, P., & Pal, M. N. (2002). Performance benchmarking and strategic homogeneity of Indian banks. International Journal of Bank Marketing, 20(3), 122–139. https://doi.org/10.1108/02652320210430965
Ofori-sasu, D., Abor, J. Y., & Mensah, Lord. (2019). Funding structure and technical efficiency - A data envelopment analysis ( DEA ) approach for banks in Ghana. International Journal of Managerial Finance, 15(4), 425–443.
Olson, D., & Zoubi, T. A. (2011). Efficiency and bank profitability in MENA countries. Emerging Markets Review, 12(2), 94–110. https://doi.org/10.1016/j.ememar.2011.02.003
Paradi, J. C., Sherman, H. D., & Tam, F. K. (2018). Bank Branch Operational Studies Using DEA. In Data Envelopment Analysis in the Financial Services Industry (pp. 145-158). Springer, Cham.
Patel, R. (2018). Pre & Post-Merger Financial Performance: An Indian Perspective. Journal of Central Banking Theory and Practice, 7(3), 181–200. https://doi.org/10.2478/jcbtp-2018-0029
Mohan, T., & Ray, S. C. (2004). Comparing Performance of Public and Private Sector Banks : A Revenue Maximisation Efficiency Approach. Economic & Political Weekly, 39(12), 1271–1276.
Rangan, N., Grabowski, R., Aly, H. Y., & Pasurka, C. (1988). The technical efficiency of US banks. Economics Letters, 28(2), 169–175.
Ray, S. C., & Das, A. (2010). Distribution of cost and profit efficiency : Evidence from Indian banking. European Journal of Operational Research, 201(1), 297–307. https://doi.org/10.1016/j.ejor.2009.02.030
Řepková, I. (2013). Estimation of banking efficiency in the Czech Republic: Dynamic data envelopment analysis. DANUBE: Law and Economics Review, 4(4), 261–275. https://doi.org/10.2478/danb-2013-0014
Rezvanian, R., Rao, N., & Mehdian, S. M. (2008). Efficiency change , technological progress and productivity growth of private, public and foreign banks in India : evidence from the post- liberalization era. Applied Financial Economics, 18(9), 701–713. https://doi.org/10.1080/09603100701222317
Sanjeev, G. M. (2006). Data Envelopment Analysis (DEA) for Measuring Technical Efficiency of Banks. Vision- The Journal of Business Prespective, 10(1), 13–27.
Sanjeev, G. M. (2009). Efficiency of Indian Public Sector Banks: An Application of DEA Approach. The IUP Journal of Applied Finance, 15(11), 52–61.
Sathye, M. (2003). Efficiency of banks in a developing economy : The case of India. European Journal of Operational Research, 148, 662–671.
Shanmugam, K. R., & Das, A. (2004). Efficiency of Indian commercial banks during the reform period. Applied Financial Economics, 14(9), 681–686. https://doi.org/10.1080/0960310042000233458
Sharma, A. V., & Dipasha, G. (2018). Technical efficiency of private sector hospitals in India using data envelopment analysis. Benchmarking: An International Journal, 25(9), 3570–3591.
Sherman, H. D., & Gold, F. (1985). Bank branch operating efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking & Finance, 9(2), 297–315.
Sigala, M. (2003). The information and communication technologies productivity impact on the UK hotel sector. International Journal of Operations & Production Management, 23(10), 1224–1245.
Singh, G., & Gupta, S. (2015). An Impact of Mergers and Acquisitions on Productivity and Profitability of Consolidation Banking Sector in India. Journal of Research in Management & Technology, 4(9), 33–48.
Sufian, F. (2009). Determinants of bank efficiency during unstable macroeconomic environment : Empirical evidence from Malaysia. Research in International Business and Finance, 23, 54–77.
Tahir, I. M., Bakar, N. M. A., & Haron, S. (2009). Evaluating Efficiency of Malaysian Banks Using Data Envelopment Analysis. International Journal of Business and Management, 4(8), 96–106.
Tamatam, R., Dutta, P., Dutta, G., & Lessmann, S. (2019). Efficiency analysis of Indian banking industry over the period 2008–2017 using data envelopment analysis. Benchmarking: An International Journal.
Wang, C., Luu, Q., Nguyen, T., & Day, J.-D. (2019). Assessing Bank Performance Using Dynamic SBM Model. Mathematics, 7(1), 1–13.
Wanke, P., Kalam, A., Emrouznejad, A., & Antunes, J. (2019). A dynamic network DEA model for accounting and financial indicators : A case of efficiency in MENA banking. International Review of Economics and Finance, 61, 52–68.
Yannick, G. Z. S., Hongzhong, Z., & Thierry, B. (2016). Technical Efficiency Assessment Using Data Envelopment Analysis: An Application to the Banking Sector of Côte D’Ivoire. Procedia - Social and Behavioral Sciences, 235, 198–207. https://doi.org/10.1016/j.sbspro.2016.11.015
Zhao, T., Casu, B., & Ferrari, A. (2008). Deregulation and productivity growth : a study of Indian commercial banking. International Journal of Business Performance Management, 10(4), 318–343.
Zhou, X., Xu, Z., Chai, J., Yao, L., Wang, S., & Lev, B. (2019). Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model. Omega, 85, 68–82.
Published
2020-05-28
How to Cite
Tanwar, J., Seth, H., Vaish, A. K., & Rao, N. V. M. (2020). Revisiting the Efficiency of Indian Banking Sector: An Analysis of Comparative Models Through Data Envelopment Analysis. Indian Journal of Finance and Banking, 4(1), 92-108. https://doi.org/10.46281/ijfb.v4i1.585
Section
Regular Research Article/ Short Communication Article
Copyright (c) 2020 Jyoti Tanwar, Himanshu Seth, Arun Kumar Vaish, N V M Rao
This work is licensed under a Creative Commons Attribution 4.0 International License.
