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Total Factor Productivity of Thai Banks in 2007-2010. An Application of DEA and Malmquist Index

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  • Dang-Thanh Ngo
  • Linh Thi Phuong Nguyen

Abstract

This research employs the Data Envelopment Analysis (DEA) and Malmquist index approaches to evaluate the efficiency and Total Factor Productivity (TFP) changes of Thai banking system in the period of 2007-2010 using panel data of 27 major banks in Thailand. This paper shows that the global crisis had a late effect on Thai banks as the TFP only dropped in 2010. While the local banks maintained their stable, foreign banks were more fluctuating – some improved their TFPs, some did not and become worst performers in the system. The reason behind it may relate to the fact that Thai banking system is currently running at decreasing returns to scale situation, which proposes that Thai banks are wasting resources in over-expansion. Hence, continuing to develop and restructuring the banking system is an emergence task for Thailand in the near future.

Suggested Citation

  • Dang-Thanh Ngo & Linh Thi Phuong Nguyen, 2012. "Total Factor Productivity of Thai Banks in 2007-2010. An Application of DEA and Malmquist Index," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(5), pages 1-2.
  • Handle: RePEc:spt:apfiba:v:2:y:2012:i:5:f:2_5_2
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    1. Bank for International Settlements, 2010. "The global crisis and financial intermediation in emerging market economies," BIS Papers, Bank for International Settlements, number 54.
    2. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Developments in the efficiency of the Thailand banking sector: a DEA approach," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(3), pages 226-245, September.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Pornchai Chunhachinda & Li Li, 2010. "Efficiency of Thai Commercial Banks: Pre- vs. Post-1997 Financial Crisis," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 417-447.
    5. 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.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    7. 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.
    8. Berg, Sigbjorn Atle & Forsund, Finn R & Jansen, Eilev S, 1992. " Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, 1980-89," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages 211-228, Supplemen.
    9. Davina Kunvipusilkul, 2009. "Credit information in Thailand," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Measuring financial innovation and its impact", Basel, 26-27 August 2008, volume 31, pages 49-57, Bank for International Settlements.
    10. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    11. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. 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.
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    Cited by:

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    2. Lema, Tadesse Zenebe, 2016. "Productivity change of Ethiopian banks: A malmquist productivity index approach," MPRA Paper 77969, University Library of Munich, Germany.
    3. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.

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    More about this item

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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