臺灣博碩士論文加值系統

本研究使用四階段資料包絡分析法分析1995年到2004年十一家中國大陸全域型銀行的經營效率。除了人為管理因素影響之外，各銀行所處的環境亦會形成對銀行經營有利與不利的因子，而本研究之目的即在於將純粹管理上的無效率，和經營環境所造成的無效率，從整體無效率中分解出來。本研究之模型係採用投資、放款兩個產出變數，以及存款、員工數和固定資產等三個投入變數。所有的名目數據資料皆經過以1995年為基期的GDP物價平減轉換為實質變數以進行研究分析。透過Tobit複回歸模型來估計銀行的成立年數、所有權型式、政策影響、存放比率、銀行規模、世界貿易組織的參與以及亞洲金融風暴等人為管理之外的外生變數，是否會對理論投入值與實際投入值所產生的差額數值產生顯著性的影響。在經過去除環境因子影響的調整後，大陸的國有銀行之效率值均獲得大幅度提升，意謂著現階段的經營環境的確比較有利於股份制銀行的經營，如果無法適應經營環境，國有銀行可以藉由所有權的改革以提升經營效率。

Applying the four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), this thesis studies the operational environment-adjusted efficiency of eleven nationwide banks in China from 1995 to 2004. In addition to managerial factors, the operational environment also brings favorable and unfavorable effects to banks. This study attempts to separate the inefficiency caused by management and inefficiency caused by operational environment. There are two outputs (investment and loans) and three inputs (deposits, employees, and fixed assets) in the DEA model. All nominal variables are transformed into real variables by the GDP deflators at the 1995 price level. After adjusting the input variables by excluding effects caused by environmental factors, state-owned banks have a greater improvement on efficiency. This implies that the joint-equity ownership significantly favors nationwide banks in China. State-owned banks can hence engage in ownership reform to improve their efficiency.

Chinese abstract i
English abstract ii
Acknowledgement iii
Content iv
List of Tables v
List of Figures vi
1. Introduction 1
1.1 Background of banking in China 1
1.2 Research motivation 2
1.3 Research objective 5
2 Literature Review 7
2.1 Literature review of Data Envelopment Analysis approach 7
2.2 Literature review of bank efficiency around the world 7
2.3 Literature review of bank efficiency in China 13
2.4 Literature review of efficiency focused on environment-adjusted analysis 16
2.5 A brief summary of the literature reviews 20
3. Methodology 21
3.1 Theory of banking evaluation and variable definition 21
3.2 CRS models of Data Envelopment Analysis 22
3.3 Four-stage DEA approach 25
3.4 Tobit regression model 31
3.5 Data 31
4. Empirical Results 38
4.1 Stage one: Initial DEA 38
4.2 Stage two: Quantifying the effect of the operational environment 40
4.3 Stage three: Data adjustment 42
4.4 Stage four: Re-compute CRS efficiency measures 44
5. Concluding Remarks 48
References 50
References in Chinese 50
References in English 51

中文文獻
毛定祥，(2006)，基於DEA回歸的我國商業銀行產出函數的實證研究，上海大學學報(自然科學版)，12(2)，216-220。
朱南、卓賢、董屹，(2004) ，關於我國國有商業銀行效率的實證分析與改革策略，管理世界，02, 18-26。
李冠、何明祥，(2005)，基於DEA的商業銀行效率評價研究，數學的實踐與認識，35(5)，50-58。
黃台心，(1997)，台灣地區本國銀行成本效率之實證研究─隨機邊界模型之應用，人文及社會科學集刊，9(1)，85-123。
張健華，(2003)，我國商業銀行效率研究的DEA方法及1997-2001年效率的實證分析，金融研究，3，11-25。
彭琦、鄒康、趙子銥，(2005)，1993-2003年中國銀行業效率的實證分析—基於DEA測度技術的運用，經濟評論, 04, 82-89。
鄭政秉、莊桓勛，(2005)，中國大陸銀行業經營績效之研究－隨機邊界分析法之應用，遠景基金會季刊，6(3)，137-174。
劉漢濤，(2004)，對我國商業銀行效率的測度: DEA方法的應用，經濟科學，6，48-58。
蔡昉、林毅夫，（2003），中國經濟：透析全球最大經濟體,掌握大陸市場經營契機，麥格羅•希爾，台北市，台灣。

References in English

Afrait, S.N. (1972). Efficiency estimation of production functions. International Economic Review, 13(3), 568-598.
Aly, H. Y., Grabowski, R., Pasurka, C. and Rangan, N. (1990). Technical, scale, and allocative efficiencies in U.S. banking: An empirical investigation. Review of Economics and Statistics, 72(2), 211-218.
Ayadi, O. F., Adebayo, A. O. and Omolehinwa, E. (1998). Bank performance measurement in a developing economy: An application of data envelopment analysis. Managerial Finance, 24(7), 5-17.
Berger, A. N. and Humphrey, D. B. (1991). The dominance of inefficiencies over scale and product mix economies in banking. Journal of Monetary Economics, 28(1), 117-149.
Berger, A. N., Hanweck, G. A. and Humphrey, D. B. (1987). Competitive viability in banking: Scale, scope, and product mix economies. Journal of Monetary Economics, 20(3), 501-521.
Boels, J. N. (1966). Efficiency squared: Efficiency computation of efficiency indexes. Proceedings of the 39th Annual Meeting of the Western Farm Economics Association, 137-142.
Charnes, A., Cooper, W. W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(2), 429-444.
Charnes, A., Cooper, W. W. and Rhodes, E. (1981). Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science, 27(6), 668-698.
Coelli, T., Rao, D.S.P. and Battese, G.E., (1998), An introduction to efficiency and productivity analysis, Kluwer Academic Publishers, (Norwell) U.S.
Coelli, T.J., Rao, D.S.P., O’Donnell, C.J. and Battese, G.E., (2005), An introduction to efficiency and productivity analysis, 2nd edition, Springer, (New York) U.S.
Drake, L. M. and Simper, R. (2005). The measurement of police force efficiency: An assessment of U.K. home office policy. Contemporary Economic Policy, 23(4), 465-483.
Drake, L. M., Hall, J. B. and 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(5), 1443-1466.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, 120(3), 253-281.
Fried, H. O., Schmidt, S. S. and Yaisawarng, S. (1999). Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of Productivity Analysis, 12(3), 249-267.
Golany, B. and Storbeck, J. E. (1999). A data envelopment analysis of the operational efficiency of bank branches. Interfaces, 29(3), 14-27.
Howland, M. and Rowse, J. (2006). Measuring bank branch efficiency using data envelopment analysis: Managerial and implement issues. INFOR, 44(1), 49-63.
Hu, J.-L., Chen, C.-P. and Su, Y.-Y. (2006). Ownership reform and efficiency of nationwide banks in China. Working Paper, Taipei: National Chiao Tung University.
Jemric, I. and Vujcic, B. (2002). Efficiency of banks in Croatia: A DEA approach. Comparative Economic Studies, 44(2), 169-193.
Kao, C. and Liu, S.-T. (2004). Predicting bank performance with financial forecasts: A case of Taiwan commercial banks. Journal of Banking and Finance, 28(10), 2353-2368.
Kirkwood, J. and Nahm, D. (2006). Australian banking efficiency and its relation to stock returns. Economic Record, 82(258), 253-267.
Krivonozhko, V. E., Utkin, O. B., Volodin, A. V. and Sablin, I. A. (2002). Interpretation of modeling results in data envelopment analysis. Managerial Finance, 28(9), 37-48.
Maudos, J., Pastor, J. M. and Perez, F. (2002). Cost and profit efficiency in European banks. Journal of International Financial Markets, Institutions and Money, 12(1), 33-58.
Mishkin, F.S. (1995). The Economics of Money, Banking and Financial Markets, 4th edition, Harper Collins, (New York) U.S.
National Bureau of Statistics of China, China Statistical yearbook, 2005, (Beijing) P.R.C.

Ozkan-Gunay, E. N. and Tektas, A. (2006). Efficiency analysis of the Turkish banking sector in precrisis and crisis period: A DEA approach. Contemporary Economic Policy, 24(3), 418-432.
Pastor, J. M. (2002). Credit risk and efficiency in the European banking system: A three-stage analysis. Applied Financial Economics, 12(12), 895-911.
People’s Bank of China. Almanac of China’s Finance and Banking, 1996 - 2005, (Beijing) P.R.C.
Ramanathan, R. (2002), Introductory Econometrics with Applications, 5th edition, South-Western, (Mason), U.S.
Sathye, M. (2003). Efficiency of banks in a developing economy: The case of India. European Journal of Operational Research, 148(3), 662-671.
Sealey, C. W., Lindley, J. R. and James, T. (1977). Inputs, outputs, and a theory of production and cost at depository financial institutions. Journal of Finance, 32(4), 1251-1266.
Seiford, L. M. (1996). Data envelopment analysis: The evaluation of the state of the art (1978-1995). Journal of Productivity Analysis, 7(2-3), 99-138.
Seiford, L. M. and Thrall, R. M. (1990). Recent developments in DEA: The mathematical approach to Frontier analysis. Journal of Econometrics, 46(1-2), 7-38.
Seiford, L. M. and Zhu, J. (1999). Profitability and marketability of the top 55 U.S. commercial banks. Management Science, 45(9), 1270-1289.
Smith, P. and Mayston, D. (1987). Measuring efficiency in the public sector. Omega, 15(3), 181-189.
Thanassoulis, E. (1995). Assessing police forces in England and Wales using data envelopment analysis. European Journal of Operational Research, 87(3), 641-658.
Thanassoulis, E. and Dunstan, P. (1994). Guiding schools to improved performance using data envelopment analysis: An illustration with data from a local education authority. Journal of the Operational Research Society, 45(11), 1247-1263.
Thompson, R. G.., Langemeier, L. N., Lee, C.-T., Lee, E. and Thrall, R. M. (1990). The role of multiplier bounds in efficiency analysis with application to Kansas farming. Journal of Econometrics, 46(1,2), 93-109.
Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24-37.
Wang, W. K., Huang, H. C. and 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, 7(2), 219-223.
Worthington, A. C. and Dollery, B. E. (2000). Measuring efficiency in local governments' planning and regulatory function. Public Productivity and Management Review, 23(4), 469-486.
Worthington, A. C. and Dollery, B. E. (2001). Measuring efficiency in local government: An analysis of New South Wales municipalities' domestic waste management function. Policy Studies Journal, 29(2), 232-250.
Zaini, M. and Karim, A. (2001). Comparative bank efficiency across select ASEAN countries. ASEAN Economic Bulletin, 18(3), 289-305.