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題名：利潤拆解方法之研究:應用於臺灣銀行業
作者：卓佳慶
作者(外文)：Jia-Ching Juo
校院名稱：臺灣大學
系所名稱：農業經濟學研究所
指導教授：傅祖壇
學位類別：博士
出版日期：2011
主題關鍵詞：銀行；利潤拆解；資料包絡分析法；方向性距離函數；差額衡量法；banks；profit change；decomposition；data envelopment analysis；directional distance function；DEA；slacks；SBM
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在資料包絡分析法(data envelopment analysis, DEA)的架構下，有兩種衡量效率的方法：射線法DEA (radial DEA)與非射線法DEA (non-radial DEA)。射線法係源自於Charnes et al. (1978)的CCR模型，而非射法則以Tone (2001)的差額衡量法(slack-based measure, SBM)為代表。為分析企業利潤變動之來源，Grifell-Tatjé and Lovell ((Grifell-Tatjé, E., Lovell, C.A.K., 1999. Profits and productivity. Management Science 45, 1177-1193)以射線法DEA將其拆解為六種不同的成份， 而Sahoo and Tone (Sahoo, B.K., Tone, K., 2009. Radial and non-radial decompositions of profit change: With an application to Indian banking. European Journal of Operational Research 196, 1130-1146)則以SBM拆解利潤變動之來源，將非射線差額 (non-radial slacks)納入考量。然而，上述兩篇研究在拆解生產力效果的過程中，均未考量要素投入面 。事實上，利潤變動可追溯自收入面(產出面)及成本面(要素投入面)的變動。
因此，本文的兩篇研究將分別使用DEA體系中的方向距離函數法(directional distance function, DDF)及未定向差額衡量法(non-oriented SBM)，以萃取較完整的利潤變動來源，前者仍設定在射線法DEA的範疇中。且兩者均以1994-2002年的臺灣銀行業為樣本資料拆解其利潤變動來源，並獲得以下實證結果：第一，當拆解生產力效果時，兩種方法皆可額外萃取出產要素投入面的影響。第二，當使用Grifell-Tatjé and Lovell (1999)的DEA法，以及本文的DDF衡量技術變動效果及營運效率效果對利潤變動的影響方向時，兩者測得的影響方向在所有樣本期間皆相同。第三，.當以DDF進一步拆解生產力效果時可發現：在所有樣本期間產出面對利潤變動的負向影響略高於要素投入面。第四，就未定向SBM所萃取出的額外效果而言，在部分樣本期間，生產力效果的產出面對利潤變動的頁獻高於要素投入面。
In the framework of data envelopment analysis (DEA), there are two different measures of efficiency: radial and non-radial. The radial measure originated from the CCR model (Charnes et al., 1978), whereas the non-radial DEA methodology is represented by the slack-based measure (SBM) (Tone, 2001). Regarding the studies on decompositions of profit change, Grifell-Tatjé and Lovell (Grifell-Tatjé, E., Lovell, C.A.K., 1999. Profits and productivity. Management Science 45, 1177-1193) decompose profit change of banks into six exclusive components using the radial DEA framework so as to consider the linkage between productivity change and profit change. Sahoo and Tone (Sahoo, B.K., Tone, K., 2009. Radial and non-radial decompositions of profit change: With an application to Indian banking. European Journal of Operational Research 196, 1130-1146) adopt SBM to decompose profit change of a bank so as to address the concerns of non-radial slacks. However, both the above two studies never consider the input side when decomposing the productivity effect. In fact, the change in operating profit can be traced from the change in revenue (the output side) and the change in cost (the input side).
Therefore, the study will propose two DEA approaches, directional distance function (DDF) and non-oriented SBM, to extract more complete drivers of profit change and illustrate the decompositions with these two approaches. The former is set as a kind of radial DEA framework. Both the two approaches illustrate the decompositions of profit change to Taiwanese banks during the period 1994-2002 and arrive at the following results. First, in the process of decomposing the productivity effect, both of them can extract the additional effect (i.e. the input side) which cannot be found in previous papers. Second, the DEA approach of Grifell-Tatjé and Lovell (1999) analysis (GLA) and DDF of our study exhibit the same direction of contribution by the technical change effect and the operating efficiency effect over the entire period. Third, when we use DDF to decompose the productivity effect, we find that the negative contribution of the output side slightly outweighs that of the input side over the entire period. Fourth, with regard to the additional components extracted by the non-oriented SBM, the study finds that the output side outweighs the input side within the productivity effect during some of our sample periods.
Aida, K., Cooper, W.W., Pastor, J.T., Sueyoshi, T., 1998.
Evaluating water supply services in Japan with RAM: A
range-adjusted measure of inefficiency. Omega,
International Journal of Management Science 26, 207-232.
Asaftei, G., 2008. The contribution of product mix versus
efficiency and technical change in US banking. Journal
of Banking and Finance 32, 2336–2345.
Avkiran, N.K., 2009. Opening the black box of efficiency
analysis: An illustration with UAE banks, Omega 37, 930-
941.
Avkiran, N.K., Tone, K., Tsutsui, M., 2008. Bridging radial
and non-radial measures of efficiency in DEA. Ann Oper
Res 164: 127–138.
Banker, R. D., Charnes, A., Cooper, W.W., 1984. Models for
estimating technical and scale efficiencies in DEA.
European Journal of Operational Research 30, 1078–1092.
Banker, R. D., Datar, S., Kaplan, R., 1989. Productivity
measurement and management accounting. Journal of
Accounting, Auditing and Finance 4, 528–554.
Bennet, T.L., 1920. The theory of measurement of changes in
cost of living. Journal of the Royal Statistics Society
83, 455–462.
Berger, A.N., 2007. International comparisons of banking
efficiency. Financial Markets, Institutions and
Instruments 16, 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.
Berger, A.N., Mester, L.J., 1997. Inside the black box:
What explains differences in the efficiencies of
financial institutions? Journal of Banking and Finance
21, 895-947.
Canhoto, A., Dermine, J., 2003. A note on banking
efficiency in Portugal, New vs. old banks. Journal of
Banking and Finance 27, 2087-2098.
Chambers, R.G., Chung, Y., Färe, R., 1996. Benefit and
distance functions. Journal of Economic Theory 70, 407-
419.
Charnes, A., Cooper, W.W., 1962. Programming with linear
fractional functionals. Naval Research Logistics
Quarterly 15, 333-334.
Charnes, A., Cooper, W.W., Golany, B., Seiford, L.M.,
Stutz, J., 1985. Foundations of data envelopment
analysis for Pareto–Koopmans efficient empirical
production functions. Journal of Econometrics 30, 91–
107.
Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the
efficiency of decision making units. European Journal of
Operational Research 2, 429–444.
Chen, T.Y., 2002. A comparison of chance-constrained DEA
and stochastic frontier analysis: Bank efficiency in
Taiwan. Journal of the Operational Research Society, 53,
492–500.
Chiu, Y.H., Chen, Y.C., 2009. The analysis of Taiwanese
bank efficiency: Incorporating both external environment
risk and internal risk. Economic Modelling 26, 456–463.
Chiu, Y.H., Jan, C., Shen, D.B., Wang, P.C., 2008.
Efficiency and capital adequacy in Taiwan banking: BCC
and super-DEA estimation, The Service Industries Journal
28, 479–496.
Coelli, T.J., Prasada, R.D.S., O’Donnell, C.J., Battese,
G.E., 2005. An Introduction to Efficiency and
Productivity Analysis, second ed. Springer, USA.
Das, A., Ghosh, S., 2009. Financial deregulation and profit
efficiency: A nonparametric analysis of Indian banks.
Journal of Economics and Business 61, 509–528.
Diewert, W.E., 2005. Index number theory using differences
rather than ratios. The American Journal of Economics
and Sociology 64, 311-360.
Drake, L., Hall, M.J.B., Simper, R., 2006. The impact of
macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong’s banking system.
Journal of Banking and Finance 30, 1443–1466.
Drake, L., Hall, M.J.B., Simper, R., 2009. Bank modelling
methodologies: A comparative non-parametric analysis of
efficiency in the Japanese banking sector, Journal of
International Financial Markets, Institutions and Money
19, 1-15.
Färe, R., Grosskopf, S., 2005. Comment: Profits and
productivity, Working Paper, Department of Economics,
Oregon State University, U.S.A.
Färe, R., Grosskopf, S., 2005. Comment: Profits and
productivity, Working Paper, Department of Economics,
Oregon State University, U.S.A.
Färe, R., Grosskopf, S., Weber, W.L., 2004. The effect of
risk-based capital requirements on profit efficiency in
banking. Applied Economics 36, 1731-1743.
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.
Fried, H.O., Schmidt, S.S., Yaisawarng, S., 1999.
Incorporating the operating environment into a
nonparametric measure of technical efficiency. Journal
of Productivity Analysis 12, 249–267.
Fukuyama, H., Weber, W.L., 2008. Profit inefficiency of
Japanese securities firms. Journal of Applied Economics
11, 281-303.
Grifell-Tatjé, E., Lovell, C.A.K., 1999. Profits and
productivity. Management Science 45, 1177-1193.
Grifell-Tatjé, E., Lovell, C.A.K., 2006. Productivity at
the post: Its drivers and its distribution. Centre for
efficiency and productivity analysis, Working Paper
Series 2, School of Economics, University of Queensland,
Australia.
Hu, W.C., Lai, M.C., Huang, H.C., 2009. Rating the relative
efficiency of financial holding companies in an emerging
economy: A multiple DEA approach, Expert Systems with
Applications 36, 5592–5599.
Koutsomanoli-Filippaki, A., Margaritis, D., Staikouras, C.,
2009. Profit efficiency under a directional technology
distance function approach. Managerial Finance 35, 276-
296.
Kwan, S.H., 2006. The X-efficiency of commercial banks in
Hong Kong. Journal of Banking and Finance 30, 1127–1147.
Lozano-Vivas, A., Pastor, J.T., Pastor, J.M., 2002. An
efficiency comparison of European banking systems
operating under different environmental conditions.
Journal of Productivity Analysis 18, 59–77.
Manandhar, R., Tang, J. C. S., 2002. The evaluation of bank
branch performance using data envelopment analysis.
Journal of High Technology Management Research, 13, 1–
17.
Maudos, J., Pastor, J. M., 2003. Cost and profit efficiency
in the Spanish banking sector (1985-1996): A non-
parametric approach. Applied Financial Economics 13, 1-
12.
Mercan, M., Reisman, A., Yalalan, R., Emel, A. B., 2003.
The effect scale and mode of ownership on the financial
performance of the Turkish banking sector: Results of a
DEA-based analysis. Socio-Economic Planning Sciences 37,
185–203.
Miller, D.M., 1984. Profitability equals productivity plus
price recovery. Harvard Business Review 62, 145–153.
Montgomery, J.K., 1929. Is There a Theoretically Correct
Price Index of a Group of Commodities? Rome: Roma L’
Universale Tipogr, Poliglotta. Privately printed paper.
Mukherjee, A., Nath, P., Pal, M., 2003. Resource, service
quality and performance triad: A framework for measuring
efficiency of banking services. Journal of the
Operational Research Society, 54, 723–735.
Parkan, C., Lam, K., Hang, G., 1997. Operational
competitiveness analysis on software development.
Journal of the Operational Research Society 48, 892–905.
Russell, R.R., 1985. Measures of technical efficiency.
Journal of Economic Theory 35, 109–126.
Sahoo, B.K., Tone, K., 2009. Radial and non-radial
decompositions of profit change: With an application to
Indian banking. European Journal of Operational Research
196, 1130-1146.
Sathye, M., 2003. Efficiency of banks in a developing economy: The case of India. European Journal of Operational Research 148, 662–671.
Shephard, R., 1970. Theory of cost and production functions, Princeton University Press Princeton.
Simar, L., Wilson, P. W., 1999. Estimating and bootstrapping Malmquist indices. European Journal of Operational Research 115, 459–471.
Tone, K., 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130, 498－509.
Tortosa-Ausina, E., Armero, C., Conesa, D., Grifell-Tatjé, E., 2010. Bootstrapping profit change: An application to Spanish banks. Computers and Operations Research, doi:10.1016/j.cor.2010.04.017.
Vassiloglou, M., Giokas, D., 1990. A study of the relative efficiency of bank branches: An application of data envelopment analysis. Journal of the Operational Research Society 41, 591–597.
Wang, W. K., Huang, H. C., Lai, M. C., 2005. Measuring the relative efficiency of commercial banks: A comparative study on different ownership modes in China. Journal of American Academy of Business, Cambridge 7, 219–223.

 
 
 
 
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