Productivity Change in Nationalised Banks Operating in India: A Malmquist Productivity Index Approach
Keywords:
Malmquist productivity Index, Indian Nationalised Banks, Data Envelopment Analysis, Technological Change, Efficiency ChangeAbstract
The present study endeavours to examine the change in productivity of nationalised banks operating in India. The data were collected from the Statistical Tables Related to Banks in India published by the Reserve Bank of India for the period of 21 years starting from the year 1997-98 i.e. after second generation reforms till the year 2017-18. Using Data Envelopment Analysis (DEA) based Malmquist Productivity Index (MPI) approach, it was found that only six banks including the Indian Bank, the Vijaya Bank, the Andhra Bank, the Bank of Baroda, the Indian Overseas Bank and the Bank of India showed positive productivity change. Majority of the banks showed deterioration in productivity. It was concluded that the productivity change was negative due to inability of Indian nationalised banks to adopt technology. But, on the other hand, these banks were able to achieve high level of efficiency improvement. It is strongly recommended that Indian nationalised banks should invest more in technology in order to improve productivity growth.
References
Alinezhad, A. and Sadeghloo, M.J.N. (2016). Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth, Journal of Money and Economy, Vol.11, No.1, 31-51
Basri, M.F., Muhamat, A.A. and Jaafar, M.N. (2018). The efficiency of Islamic banks in Malaysia: Based on DEA and Malmquist Productivity Index, Journal of Emerging Economies and Islamic Research, Vol. 6, No. 3, 15-27.
Bucevska, V and Misheva, B.H. (2017). The Determinants of Profitability in the Banking Industry: Empirical Research on Selected Balkan Countries, Eastern European Economics, Vol. 55, No. 2, 146-167,
Galagedera, D. and Edirisuriya, P. (2004). Performance of Indian Commercial Banks (1995-2002): An Application of Data Envelopment Analysis and Malmquist Productivity Index. Available at SSRN: https://ssrn.com/abstract=577922 or http://dx.doi.org/10.2139/ssrn.577922, Retrieved April 1, 2019.
Ganouati,J. and Essid, H. (2017). The sources of productivity change and efficiency in Islamic banking: Application of Malmquist productivity index, The Central European Review of Economics and Management, Vol. 1, No. 4, 35-67.
Gulati, R. and Kumar, S. (2016). Assessing the productivity growth of Indian banks during the post-deregulation period using non-radial Malmquist productivity index, International Journal of Operational Research. Vol. 25, No.2, 169–195
Jahan, N. (2019). Productivity Analysis of Commercial Banks of Bangladesh: A Malmquist Productivity Index Approach, International Journal of Economics and Financial Issues, Vol. 9, No. 1, 108-115
Jiang, H. and He, Y. (2018). Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework. Mathematics, Vol. 6, 184; doi:10.3390/math6100184
Junwen F, Jie C, Yucheng W. (2017). Efficiency Analysis of Commercial Banks in China Based on DEA and Malmquist Index, Biotechnology: An Indian Journal, Vol 13, No. 3, :139-150.
Kofi A. F., Christopher G., Liu Y., Baiding, H. and David C. (2015). Efficiency and productivity change in the banking industry: empirical evidence from New Zealand banks, Investment Management and Financial Innovations, Vol. 12, No. 1, 19-25
Kumar, J. and Thamilselvan, R. (2018). Management Efficiency and Profitability of Selected Indian Public and Private Sector Banks, International Journal of Pure and Applied Mathematics. Vol.119, No. 15, 873-889.
Lema, T.Z. (2016). Productivity change of Ethiopian banks: A Malmquist Productivity Index Approach, Journal of Economics and Sustainable Development, Vol.7, No. 21, 14-20.
Maiti, A. and Jana, S. (2017). Determinants of Profitability of Banks in India: A Panel Data Analysis. Scholars Journal of Economics, Business and Management, Vol. 4, 436-445.
Marković, M., Knežević, S., Brown, A., & Dmitrović, V. (2015). Measuring the Productivity of Serbian Banks Using Malmquist Index, Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, Vol. 20, No. 76, 1-10
Palečková, I. (2017). Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks, DANUBE: Law and Economics Review, Vol. 8, number 3, 173–190.
Pandey P. and Singh S. (2015). Evaluating the Performance of Commercial Banks in India Using Malmquist and DEA Approach: Some Evidence, The IUP Journal of Bank Management, Vol. 15, No.2
Raphael G. (2013). A DEA- Based Malmquist Productivity Index Approach in Assessing Performance of Commercial Banks: Evidence from Tanzania, European Journal of Business and Management, Vol. 5 No. 6, 25-34.
Sealey, C.W. and Lindley, J.T. (1977). Inputs, Outputs and a Theory of Production and Cost at Depository Financial Institutions, Journal of Finance, Vol. 32, No. 8, 1251–1266.
Sekhri, V. (2011). A DEA and Malmquist Index Approach to Measuring Productivity and Efficiency of Banks In India, The IUP Journal of Bank Management, 10 (3). Ppt 49-64.
Sherman, D.H. and Gold, F. (1985). Bank Branch Operating Efficiency: Evaluation with Data Envelopment Analysis, Journal of Banking and Finance, Vol. 9, No. 3, 297–315.
Sufian, F. and Kamarudin, F. (2017). Forced Mergers on Bank Efficiency and Productivity: Evidence from Semi-Parametric Malmquist Productivity Index, Global Business Review, Vol. 18, Number 1, 19-44.