Consistency conditions for bank efficiency analysis in Ghana: A comparison of parametric and non-parametric techniques
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DOIhttp://dx.doi.org/10.21511/bbs.19(3).2024.16
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Article InfoVolume 19 2024, Issue #3, pp. 187-199
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This paper extends the concept of methodological crosschecking by examining whether bank efficiencies computed by the two frontier techniques, stochastic frontier analysis (SFA) and data envelopment analysis (DEA), are consistent. The study used a panel of 220 unbalanced observations from 27 Ghanaian banks between 2007 and 2016 to estimate cost and technical efficiencies and check for consistency using five criteria: efficiency distribution, ranking, ability to identify best or worst banks, stability of efficiencies, and relationship with accounting ratios. The results suggest that there is no consistency in the way parametric and non-parametric techniques rank or identify the best or worst banks. Also, there exists a weak relationship between the efficiency scores generated by both SFA and DEA and the non-frontier accounting ratios of Ghanaian banks. This suggests that the latter may contain some exogenous variables that make them weak measures of efficiency and should be used with caution, especially for bank supervision. However, the SFA approach yielded efficiency scores that were comparatively more stable over time. Therefore, the study concludes that the SFA approach is more practical and thus more appealing for regulatory purposes in Ghana due to the relatively consistent efficiency scores under the SFA approach compared to those under the DEA.
- Keywords
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JEL Classification (Paper profile tab)G21, E58, C33
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References39
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Tables7
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Figures0
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- Table 1. Descriptive statistics of the banking data
- Table 2. Descriptive statistics of efficiency scores by concept and technique
- Table 3. Spearman rank-order correlations of efficiency scores
- Table 4. Identification of extreme banks by technique and concept
- Table 5. Stability of measured efficiencies over time
- Table 6. Spearman rank-order correlations between efficiencies and accounting ratios
- Table 7. Identification of extreme banks by efficiencies and accounting ratios
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- Adjei-Frimpong, K., Gan, C., & Hu, B. (2014). Cost Efficiency of Ghana’s Banking Industry: A Panel Data Analysis. International Journal of Business and Finance, 8(2), 69-86.
- Aigner, D. J., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21-37.
- Alexander, R., Phan, H. T., & Anwar, S. (2016). Cost Efficiency of Hong Kong Banking Sector: A Two-Stage DEA Window Analysis. University of Sunshine Coast, Queensland, Australia.
- Alhassan, A. L., & Ohene-Asare, K. (2016). Competition and Bank Efficiency in Emerging Markets. Empirical Evidence from Ghana. African Journal of Economic and Management Studies, 7(2), 268-288.
- Bank of Ghana. (2009-2016). Annual Reports.
- Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Model for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092.
- Barth, J. R., Lin, C., Ma, Y., Seade, J., & Song, F. M. (2013). Do Bank Regulation, Supervision and Monitoring enhance or impede Bank Efficiency? Journal of Banking & Finance, 37(8), 2879-2892.
- Battese, G. E., & Coelli, T. J. (1992). Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India. Journal of Productivity Analysis, 3, 153-169.
- Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B. (1998). Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods. Journal of Economics and Business, 50(2), 85-114.
- Beattie, B., & Taylor, C. (1985). The Economics of Production. Wiley.
- Beccalli, E., Casu, B., & Girardone, C. (2006). Efficiency and Stock Performance in European Banking. The Journal of Business, Finance and Accounting, 33(1-2), 218-235.
- Berger, A. N., & Humphrey, D. (1997). Efficiency of financial institutions: international survey and directions for future research. European Journal of Operational Research, 98(2), 175-212.
- Brownbridge, M., & Gockel, A. F. (1998). The Impact of Financial Sector Policies in Ghana (Research Paper No. 10452). Institute of Development Studies (IDS).
- Casu, B., & Girardone, C. (2002). A Comparative Study of the Cost Efficiency of Italian Bank Conglomerates. Managerial Finance, 28(9), 3-23.
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision-Making Units. European Journal of Operational Research, 2(6), 429-444.
- Coelli, T., & Henningsen, A. (2013). Frontier: Stochastic Frontier Analysis. R package version 1.1-0.
- Coelli, T., Rao, D. S. P., & Battese, G. (2005). An introduction to Efficiency and Productivity Analysis (2nd ed.). Springer Science+Business Media, LLC.
- Debreu, G. (1951). The Coefficient of resource utilization. Econometrica, 19(3), 273-292.
- Fare, R., & Primont, D. (1995). Multi-Output Production and Duality: Theory and Applications. Springer.
- Fare, R., Grosskopf, S., & Logan, J. (1983). The relative efficiency of Illinois Electric Utilities. Resources and Energy, 5(4), 349-367.
- Fare, R., Grosskopf, S., & Lovell, C. A. K. (1985). The Measurement of Efficiency of Production. Springer.
- Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
- Ferrier, G. D., & Lovell, C. A. K. (1990). Measuring Cost Efficiency in Banking: Econometric and Linear Programming Evidence. Journal of Econometrics, 46(1-2), 229-245.
- Fiorentino, E., Karmann, A., & Koetter, M. (2006). The Cost Efficiency of German Banks: A comparison of SFA and DEA (Discussion Paper Series No. 2). Deutsche Bundesbank.
- Hackethal, A. (2003). German banks and banking structure (Working Paper Series: Finance & Accounting No. 106). Johann Wolfgang Goethe-Universität Frankfurt am Main.
- Koopmans, T. C. (1951). An analysis of production as an efficient combination of activities. In T. C. Koopmans (Ed.), Activity Analysis of Production and Allocation, Proceeding of a Conference (pp. 33-97). John Wiley & Sons Inc., London.
- Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic Frontier Analysis. Cambridge University Press.
- Meeusen, W., & van den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18(2), 435-444.
- Moyo, B. (2018). An analysis of competition, efficiency and soundness in the South African banking sector. South African Journal of Economic and Management Sciences, 21(1).
- Ohene-Asare, K. (2011). Nonparametric Efficiency and Productivity Change Measurement of Banks with Corporate Social Responsibilities: The Case for Ghana (Ph.D. Thesis). University of Warwick.
- Pasiouras, F., Tanna, S., & Zopounidis, C. (2009). The Impact of Banking Regulations on Banks’ Cost and Profit Efficiency: Cross-Country Evidence. International Review of Financial Analysis, 18(5), 294-302.
- Resti, A. (1997). Evaluating the Cost Efficiency of the Italian Banking System: What can be learned from the Joint Application of Parametric and Nonparametric Techniques? Journal of Banking & Finance, 21(2), 221-250.
- Saka, N. A., Aboagye, A. Q. Q., & Gemegah, A. (2012). Technical Efficiency of Ghanaian Banking Industry and Effects of the Entry of Foreign Banks. Journal of African Business, 13(3), 232-243.
- Sakouvogui, K. (2020). A comparative approach of stochastic frontier analysis and data envelopment analysis estimators: evidence from banking system. Journal of Economic Studies, 47(7), 1787-1810.
- Schaeck, K., & Cihak, M. (2014). Competition, efficiency, and stability in Banking. Financial Management, 43(1), 215-241.
- Shepard, R. W. (1953). Cost and Production Functions. DTIC Document. (Doctoral Thesis).
- Simpasa, A. M. (2010). Performance of Zambian Commercial Banks in Post-Liberalization Period: Evidence on Cost Efficiency, Competition and Market Power (Doctoral Thesis). University of Cape Town.
- Tabak, M. B., Cajueiro, O. D., & Dias, B. V. M. (2014). The efficiency of Chinese local banks: A comparison of DEA and SFA (Working Paper Series No. 346). Central Bank of Brazil.
- Weill, L. (2004). Measuring Cost Efficiency in European Banking: A comparison of frontier techniques. Journal of Productivity Analysis, 21, 133-152.