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2014 | OriginalPaper | Chapter

7. Impact of Augmented FDI on Efficiency of Turkish banks: Better or Worse?

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Abstract

This study investigates the relationship between foreign investment and bank productivity in Turkey over the 1992–2010 period by examining and decomposing the DEA Malmquist index scores of 17 commercial banks. Four questions are at the center of this study: What are the productivity scores of foreign invested private commercial banks? How was it affected by increased FDI? Did foreign investors target more productive and profitable banks to invest in? What are the most important components of productivity growth: technical progress, efficiency gains, better management or the realization of scale economies? Empirical findings support the hypothesis that productivity scores of foreign invested banks are higher than domestic banks before the time of foreign investment. Overall, decomposed productivity figures indicate that the most significant factor on the total factor productivity change (TFPC) is the technological change (TC) and bank specific factors are important. Interestingly, no significant relationship found between FDI and the Malmquist components.

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Footnotes
1
There are couple of studies that analyse efficiency of Turkish banks applying DEA such as Altunbas et al. (1994c), Zaim (1995), Denizer et al. (2000), and Isik and Hassan (2002).
 
2
Other studies that used Intermediation Approach in banking are; Zaim (1995), Gilbert and Wilson (1998), Kraft and Tirtiroglu (1998), Rezvanian and Mehdian (2002), Isik and Hassan (2002, 2003), and Havrylchyk (2006).
 
3
It has been argued that the FDI/GDP ratio might be more preferable to log FDI for testing causal links between FDI and GDP, due to potential “endogeneity” problems with FDI at the aggregate level (see e.g. Herzer et al. 2008). However, this endogeneity problem is not so serious with single country bank level data and we prefer to use a dummy variable for the years that FDI inflows are observed.
 
4
Pearson and Kendall’s correlation coefficients among the explanatory variables of the second-stage regressions are available from the author on request. They reveal fairly low to moderate correlations, indicating that they can all be included in the empirical estimation without particular concerns in terms of multicollinearity, except ROE which is highly correlated with ROA, COST, CPE and NIM.
 
5
Isik and Hassan (2002), and Berger and Mester (2003) also report a strong correlation between efficiency scores and commonly used financial ratios.
 
6
Log of total deposts is also used as a proxy of bank size by Bonin et al. (2005).
 
7
Following Sathye (2001), Isik and Hasan (2002), and Havrylchyk (2006), parametric (ANOVA) and non-parametric (Wilcoxon, Kruskal–Wallis and Kolmogorow-Smirnov) tests are applied to check the null hypothesis that all banks come from the same population.
 
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Metadata
Title
Impact of Augmented FDI on Efficiency of Turkish banks: Better or Worse?
Author
Ozlem Olgu
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-01125-7_7