Thanh, Ngo (2011): Effectiveness of the Global Banking System in 2010: A Data Envelopment Analysis approach. Published in: Chinese Business Review , Vol. 10, No. 11 (November 2011): pp. 961-973.
Preview |
PDF
MPRA_paper_56389.pdf Download (275kB) | Preview |
Abstract
The current crisis has revealed the weaknesses of the global financial in general and its banking system in particular, put forward a requirement for assessing the effectiveness and stability of the banking sectors across countries. Based on available data from 64 countries over the world, the author tried to evaluate the effectiveness of the banking sectors in those countries through the view point of the data envelopment analysis approach to define how the global banking systems is under the effect of the current crisis. Findings from the research showed that banking systems in advanced economies are still more effective than in developing countries. Moreover, it explained the effect of the current financial crisis, the role of public finance (and the government), and the development of the (privately) commercial banks to the effectiveness of the banking sectors. The research also explained some determinants that can affect the effectiveness of the banking system, including inflation, bank concentration, and level of economic development.
Item Type: | MPRA Paper |
---|---|
Original Title: | Effectiveness of the Global Banking System in 2010: A Data Envelopment Analysis approach |
English Title: | Effectiveness of the Global Banking System in 2010: A Data Envelopment Analysis approach |
Language: | English |
Keywords: | data envelopment analysis, effectiveness, efficiency, banking, cross countries |
Subjects: | E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 56389 |
Depositing User: | Dang-Thanh Ngo |
Date Deposited: | 12 Jun 2014 17:22 |
Last Modified: | 29 Sep 2019 07:18 |
References: | Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planing Sciences, 35, 57-80. Avkiran, N. K. (2010). Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks. Omega, 39, 323-334. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. Beck, T., Demirgüç-Kunt, A., & Levine, R. (2000). A new database on financial development and structure. World Bank Economic Review, 14, 597-605. Bencivenga, V. R., & Smith, B. D. (1991). Financial intermediation and endogenous growth. Review of Economic Studies, 58, 195-209. Berg, S. A., Forsund, F. R., Hjalmarsson, L., & Suominen, M. (1993). Banking efficiency in the Nordic countries. Journal of Banking and Finance, 17, 371-388. Bergendahl, G. (1995). DEA and benchmarks for Nordic banks. Working paper. Gothenburg University, Gothenberg, Sweden. Berger, A. N. (2007). International comparison of banking efficiency. Financial Markets, Institutions and Instruments, 16(3), 119-144. Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98, 175-212. Bukh, P. N. D., Berg, S. A., & Forsund, F. R. (1995). Banking efficiency in the Nordic countries: A four-country Malmquist index analysis. University of Aarhus, Denmark. CGAP. (2010). Financial access 2010: The state of financial inclusion through the crisis. Washington, D.C.: Consultative Group to Assist the Poor. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444. Depotis, D. (2004). A reassessment of the human development index via data envelopment analysis. Journal of Operational Research Society, 1-12. Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S., & Shale, E. A. (2001). Pitfalls and protocols in DEA. European Journal of Operational Research, 132, 245-259. Fare, R., & Grosskopf, S. (2004). Modeling undesirable factors in efficiency evaluation: Comment. European Journal of Operational Research, 157, 242-245. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-281. Fecher, F., & Pestieau, P. (1993). Efficiency and competition in O.E.C.D. financial services. In H. O. Fried, C. A. K. Lovell, & S. S. Schmidt (Eds.), The measurement of productive efficiency: Techniques and applications (pp. 374-385). Oxford University Press, UK. Fethi, M. D., & Pasiouras, F. (2010). Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research, 204, 189-198. Goldsmith, R. W. (1969). Financial structure and development. New Haven, CT: Yale University Press. Grosskopf, S., & Valdmanis, V. (1987). Measuring hospital performance: A non-parametric approach. Journal of Health Economics, 6, 89-107. IMF. (2010). Global financial stability report: Sovereigns, funding, and systemic liquidity. Washington, D.C.: International Monetary Fund. Jahanshahloo, G. R., Memariani, A., Lotfi, F. H., & Rezai, H. Z. (2005). A note on some of DEA models and finding efficiency and complete ranking using common set of weights. Applied Mathematics and Computation, 166, 265-281. Kao, C., & Hung, H. T. (2005). Data envelopment analysis with common weights: the compromise solution approach. Journal of Operational Research Society, 56, 1196-1203. King, R. G., & Levine, R. (1993a). Finance and growth: Schumpeter might be right. Quarterly Journal of Economics, 108, 717-737. King, R. G., & Levine, R. (1993b). Finance, entrepreneurship, and growth: Theory and evidence. Journal of Monetary Economics, 32, 513-542. Kwan, S. H. (2003). Operating performance of banks among Asean economies: An international and time series comparison. Journal of Banking and Finance, 27, 471-489. Laeven, L., & Valencia, F. (2010). Resolution of banking crises: The good, the bad, and the ugly. IMF Working paper 10/146. Liu, F.-H. F., & Peng, H. H. (2008). Ranking units of the DEA frontier with common weights. Computers & Operations Research, 35, 1624-1637. Lozano-Vivas, A., Pastor, J. T., & Hasan, I. (2001). European bank performance beyond country borders: What really matters. European Finance Review, 5, 141-165. Mahlberg, B., & Obersteiner, M. (2001). Remeasuring the HDI by data envelopment analysis. Laxenburg, Austria: International Institute for Applied System Analysis (IIASA). Maudos, J., Pastor, J. M., Perez, F., & Quesada, J. (2002). Cost and profit efficiency in European banks. Journal of International Financial Markets, Institutions and Money, 12, 33-58. McKinnon, R. I. (1973). Money and capital in economic development. Washington D.C.: Brookings Institution. Pastor, J., Perez, F., & Quesada, J. (1997). Efficiency analysis in banking firms: An international comparisons. European Journal of Operational Research, 98, 396-408. Pastor, J. T., Knox Lovell, C., & Tulkens, H. (2006). Evaluating the financial performance of bank branches. Annals of Operations Research, 145(1/July), 321-337. Peristiani, S. (1997). Do mergers improve the x-efficiency and scale efficiency of U.S. banks? Evidence from the 1980s. Journal of Money, Credit, and Banking, 29(3), 326-337. Roll, Y., & Golany, B. (1993). Alternate methods of treating factor weights in DEA. OMEGA, 21(1), 99-109. Ruthenberg, D., & Elias, R. (1996). Cost economies and interest rate margins in a unified European banking market. Journal of Economics and Business, 48, 231-249. Sathye, M. (2005). Technical efficiency of large bank production in Asia and the Pacific. Multinational Finance Journal, 9(1-2), 1-22. Schaffnit, C., Rosen, D., & Paradi, J. C. (1997). Best practice analysis of bank branches: An application of DEA in a large Canadian bank. European Journal of Operational Research, 98, 269-289. Schumpeter, J. A. (1911). The theory of economic development. Cambridge, MA: Havard University Press. Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142, 16-20. Shaw, E. S. (1973). Financial deepening in economic development. New York: Oxford University Press. Sherman, D. H., & Gold, F. (1985). Bank branches operating efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance, 9, 297-315. Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24-36. WEF. (2010). The financial development report 2010. Geneva, Switzerland: World Economic Forum. Zhu, J. (2001). Super-efficiency and DEA sensitivity analysis. European Journal of Operational Research, 129, 443-455. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/56389 |