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How a regulatory capital requirement affects banks’ productivity: an application to emerging economies

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Abstract

This paper presents a novel approach to measure efficiency and productivity decomposition in the banking systems of emerging economies with a special focus on the role of equity capital. We model the requirement to hold levels of a fixed input, i.e. equity, above the long run equilibrium level or, alternatively, to achieve a target equity-asset ratio. To capture the effect of this under-leveraging, we allow the banking system to operate in an uneconomic region of the technology. Productivity decomposition is developed to include exogenous factors such as policy constraints. We use a panel data set of banks in emerging economies during the financial upheaval period of 2005–2008 to analyse these ideas. Results indicate the importance of the capital constraint in the decomposition of productivity.

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Notes

  1. In the aftermath of the 2007–2008 financial crisis, this issue has preoccupied regulators; a member of the US Senate Banking Committee asks: “What is the true cost to national economies of higher capital requirements for banks?” Senator Kay Hargan, letter to The Economist, June 4, 2010.

  2. This shadow return is calculated from the negative of the elasticity of a bank’s cost function with respect to the level of equity capital, as shown later in the paper.

  3. Berger and Humphrey (1997) and Fethi and Pasiouras (2010) present detailed reviews of the literature on banking efficiency.

  4. In the case where a fixed level of input is the constraint, the corresponding result is that the negative of the derivative of the variable cost function with respect to this fixed input is the input’s shadow price.

  5. We are grateful to a reviewer for emphasizing the distinction between regulatory capital requirements and real balance sheet constraints.

  6. We made an exception to the Bikker and Bos filtering rules. We adjusted the permitted upper bound of the equity asset ratio to 90 % if the observation simultaneously passed the regression standardised residual test—we did so because this variable is a key aspect of our analysis. This resulted in keeping in the sample 14 observations (0.8 % of the sample), chiefly of banks in South America, that the rule based criterion would have deselected.

  7. The statistical standardised residual test has more impact on the sample selected than the rule based approach.

  8. There are multiple second order and interaction coefficients too numerous to report here.

  9. We acknowledge the suggestion of a reviewer in this comment.

References

  • Avkiran NK (1999) The evidence on efficiency gains: the role of mergers and the benefits to the public. J Bank Finance 23:991–1013

    Article  Google Scholar 

  • Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Prod Anal 3:153–169

    Article  Google Scholar 

  • Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20:325–332

    Article  Google Scholar 

  • Bauer PW (1990) Decomposing TFP growth in the presence of cost inefficiency, nonconstant returns to scale, and technological progress. J Prod Anal 1:287–299

    Article  Google Scholar 

  • Beccalli E, Casu B, Girardone C (2006) Efficiency and stock performance in European banking. J Bus Finance Account 33:245–262

    Article  Google Scholar 

  • Berger AN (1993) Distribution-free estimates of efficiency in the US banking industry and tests of standard distributional assumptions. J Prod Anal 4(3):261–292

    Article  Google Scholar 

  • Berger AN, Humphrey DB (1991) The dominance of inefficiencies over scale and product mix economies in banking. J Monet Econ 28:117–148

    Article  Google Scholar 

  • Berger AN, Humphrey DB (1997) Efficiency of financial institutions: international survey and directions for future research. Eur J Oper Res 98:175–212

    Article  MATH  Google Scholar 

  • Bikker JA, Bos JWB (2008) Bank performance: a theoretical and empirical framework for the analysis of profitability, competition and efficiency. Routledge, London

    Google Scholar 

  • Braeutigam RR, Daughety AF (1983) On the estimation of returns to scale using variable cost functions. Econ Lett 11:25–31

    Article  MATH  Google Scholar 

  • Brissimis SN, Delis MD, Papanikolaou NI (2008) Exploring the nexus between banking sector reform and performance: evidence from newly acceded EU countries. J Bank Finance 32:2674–2683

    Article  Google Scholar 

  • Bureau van Dijk (2010) Bankscope database. http://www.bvdinfo.com/Home.aspx. Accessed 3 Nov 2012

  • Canhoto A, Dermine J (2003) A note on banking efficiency in Portugal: new vs old banks. J Bank Finance 27:2087–2098

    Article  Google Scholar 

  • Casu B, Molyneux P (2003) A comparative study of efficiency in European banking. Appl Econ 35:1865–1876

    Article  Google Scholar 

  • Cuesta RA, Orea L (2002) Merger and technical efficiency in Spanish savings banks: a stochastic distance function approach. J Bank Finance 26:2231–2247

    Article  Google Scholar 

  • Daniel BC, Jones JB (2007) Financial liberalization and banking crises in emerging economies. J Int Econ 72:202–221

    Article  Google Scholar 

  • Delis MD, Koutsomanoli-Fillipaki A, Staikouras CK, Gerogiannaki K (2009) Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies. Appl Financ Econ 19:191–202

    Article  Google Scholar 

  • Erdem C, Erdem MS (2008) Turkish banking efficiency and its relation to stock performance. Appl Econ Lett 15:207–211

    Article  Google Scholar 

  • Fethi M Duygun, Pasiouras F (2010) Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey. Eur J Oper Res 204(2):189–198

    Article  MATH  Google Scholar 

  • Fethi M Duygun, Shaban M, Weyman-Jones T (2011) Liberalization, privatization and the productivity of Egyptian banks: a non-parametric approach. Serv Ind J 31:1143–1163

    Article  Google Scholar 

  • Fethi M Duygun, Shaban M, Weyman-Jones T (2012) Turkish banking re-capitalization and the financial crisis: an efficiency and productivity analysis. Emerg Mark Finance Trade 48(5):76–90

    Article  Google Scholar 

  • Havrylchyk O (2006) Efficiency of the Polish banking industry: foreign versus domestic banks. J Bank Finance 30:1975–1996

    Article  Google Scholar 

  • Hughes JP, Mester LJ, Moon C-G (2001) Are scale economies in banking elusive or illusive? Evidence obtained by incorporating capital structure and risk taking into models of bank production. J Bank Finance 25:2169–2208

    Article  Google Scholar 

  • Isik I, Hassan MK (2003) Financial deregulation and total factor productivity change: an empirical study of Turkish commercial banks. J Bank Finance 27:1455–1485

    Article  Google Scholar 

  • Koutsomanoli-Filippaki A, Margaritis D, Staikouras C (2009) Efficiency and productivity growth in the banking industry of central and Eastern Europe. J Bank Finance 33:557–567

    Article  Google Scholar 

  • Kumbhakar S, Lovell CAK (2000) Stochastic frontier analysis. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

  • Lozano-Vivas A, Kumbhakar SC, Fethi MD, Shaban M (2011) Consolidation in the European banking industry: How effective is it? J Prod Anal 36:247–261

    Article  Google Scholar 

  • Orea L (2002) A generalised parametric Malmquist productivity index. J Prod Anal 18:5–22

    Article  Google Scholar 

  • Panzar J, Willig R (1977) Economies of scale in multi-output production. Q J Econ 8(August):48l–493

    MathSciNet  Google Scholar 

  • Pitt MM, Lee L-F (1981) Measurement and sources of technical inefficiency in the Indonesian weaving industry. J Dev Econ 9:43–64

    Article  Google Scholar 

  • Reifschneider D, Stevenson R (1991) Systematic departures from the frontier: a framework for the analysis of firm efficiency. Int Econ Rev 32(3):715–723

    Article  MATH  Google Scholar 

  • Schmidt P, Sickles RC (1984) Production frontiers and panel data. J Bus Econ Stat 2:367–374

    Google Scholar 

  • Sherman HD, Rupert TJ (2006) Do bank mergers have hidden or foregone value? Realized and unrealized operating synergies in one bank merger. Eur J Oper Res 168:253–268

    Article  MATH  Google Scholar 

  • Sturm J-E, Williams B (2004) Foreign bank entry, deregulation and bank efficiency: lessons from the Australian experience. J Bank Finance 28:1775–1799

    Article  Google Scholar 

  • Tsionas EG, Lolos SEG, Christopoulos DK (2003) The performance of the Greek banking system in view of the EMU: results from a non-parametric approach. Econ Model 20:571–592

    Article  Google Scholar 

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Acknowledgments

We would like to thank the anonymous referees and the participants of the VI Seminar on Risk, Financial Stability and Banking of the Banco Central do Brasil in São Paulo and our paper’s discussant, Emanuel Kohlscheen, for valuable comments and helpful suggestions.

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Correspondence to Meryem Duygun.

Appendix

Appendix

See Table 7.

Table 7 Table of composed error specifications

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Duygun, M., Shaban, M., Sickles, R.C. et al. How a regulatory capital requirement affects banks’ productivity: an application to emerging economies. J Prod Anal 44, 237–248 (2015). https://doi.org/10.1007/s11123-015-0451-1

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