• 沒有找到結果。

Parameter Estimate Standard Error Intercept 0.353*** 0.068

FS <0.001*** <0.001 FS^2 >-0.001*** <0.001

ELEC 4.958* 2.947

ERROR -2.985* 1.591

IB -0.006* 0.004

SEC 0.172*** 0.058

Year 2003/2004 0.047 0.041 Log Likehood 17.294

Adj. R-square 0.621 Sample Size 69

Notes: ***,**,* represent that the coefficients are significantly different from 0 at the 0.001, 0.005, 0.1 levels, respectively.

IV. Conclusions and Suggestions

Along with the globalization and liberalization of Taiwan’s financial markets, the demands for derivative financial products increase tremendously, leading Taiwan’s futures market to prosper. During the period of 1999-2005, the supply side shrinks gradually in terms of the number of firms although the demand side increases in terms of the annual trading volume of futures contracts. One possible explanation for the above phenomena is that the managerial performance among individual firms in this industry diverges greatly and inefficient firms are driven out of the market. Based upon the survey data conducted by TAIFEX during the period of 2002-2004, this paper first applied the DEA technique to evaluate the efficiency of Taiwan’s FCMs, and then the Tobit censored regression was used to investigate the determinates of the efficiency of FCMs in Taiwan.

The efficiency-evaluation results show that the mean overall technical efficiency of FCMs is 0.719, implying that they could have reduced inputs by 28.1 percent, on average, and still have produced the same level of outputs. This shows that most FCMs in Taiwan have an ample space to improve. The mean purely technical

efficiency measures is 0.823 while the mean scale efficiency measures is 0.877. It implies that, by adjusting FCM’s operating size to optimal scale, the mean overall technical efficiency can increase from 0.719 to 0.823. The rest of the technical inefficiency, 17.7%, requires improvement in managerial performance to reduce resources wasted. It is also found that the number of FCMs operating in DRS region decreased gradually while the number of FCMs operating in CRS region increased gradually during the period of 2002-2004, but most FCMs are still operating in DRS region. The regression result shows that firm size has a positive, but in a decreasing rate, impact on technical efficiency. The electrical trading ratio is positively related with technical efficiency. Out-trade loss to total revenues ratio has a negative impact on technical efficiency. The number of introducing brokers and technical efficiency are negatively related. FCMs with securities industry background are more technically efficient than those without.

According to the empirical evidence, this paper could provide some implications and suggestions for FCMs in Taiwan to improve their efficiency. First, since most of the FCMs are still located in DRS region and technical efficiency can enhance with expansion of the firm size, it may provide small-to-medium-sized FCMs with incentives for M&As to expand their operational scales. Second, it is suggested that FCMs can encourage their customers to place orders via electrical media by providing incentives, such as discounts on brokerage fee charges. Third, FCMs can invest in on-the-job training to enhance the quality of employees so that the possibility of out-trades loss can be effectively reduced. FCMs with securities industry background can enhance cooperation with their holding securities firms so that they can make good use of clients database to conduct cross-selling strategy.

Acknowledgements

Financial support from the National Science Council under NSC 94-2416-H-004-043 is acknowledged.

Reference

Ahn, T. and Seiford, L. M. (1992), “Sensitivity of DEA to models and variables sets in a hypothesis test setting: The efficiency of university operations”, Ijiri, Q.(ed.), Creative and Innovative Approaches to the Science of Management, New York.

Amel, D., Colleen B., Fabio P. and Carmelo S. (2004), “Consolidation and efficiency in the financial sector: A review of the international evidence,” Journal of Banking and Finance, Vol. 28, 2493-2515.

Banker, R. D. , A. Charnes, and W.W. Cooper(1984), “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, Vol. 30, 1078-1092.

Berger, A. N. and David B. H. (1997), “Efficiency of financial institutions:

International survey and directions for future research,” European Journal of Operational Research, Vol. 98, 175-212.

Charnes, A., W.W. Cooper and E. Rhodes (1978), “Measuring the Efficiency of Decision Making Units,” European Journal of Operations Research, Vol. 2, 429-444.

Cheng, T.W., K.L. Wang and C.C. Weng (2000), “A Study of Technical Efficiencies of CPA Firms in Taiwan,” Review of Pacific Basin Financial Markets and Policies, Vol.3, No.1, 27-44.

Coelli, T.(1996), A Guide to DEAP Version 2.1: A Data Envelopment Analysis Computer Program, Center for Efficiency and Productivity Analysis, Australia.

re a

F &&

,R.,S. Grosskopf and C. A. K. Lovell(1985),The Measurement of Efficiency of Production, Kluwer-Nijhoff, Boston.

Farrell, M.J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, Series A, CXX, Part 3:253-290.

Greene, W. H. (1981), “On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model,” Econometrica, Vol.49, 505-513.

Lovell, C. A. K. (1993), “Production Frontiers and Productive Efficiency,” in The Measurement of Productive Efficiency: Techniques and Applications, edited by H. O. Fried, C. A. K. Lovell and S. S. Schmidt, Oxford University Press, New York, 3-67.

McCarty, T.A. and S. Yaisawarng(1993), “Technical Efficiency in New Jersey School Districts,” in The Measurement of Productive Efficiency: Techniques and Applications, edited by H. O. Fried, C. A. K. Lovell and S. S. Schmidt, Oxford University Press, New York, 271-87.

Seiford, L. M.(1996), “Data Envelopment Analysis: The Evolution of the State of the Art(1978-1995),” Journal of Productivity Analysis, Vol.7, 99-137.

Wang, K.L., Y.T. Tseng and C.C. Weng , (2003), “A Study of Production Efficiencies of Integrated Securities Firms in Taiwan,” Applied Financial Economics, Vol. 13,

159-167.

Weng, C.C. and K. L. Wang (2006), “Scale and Scope Economies of Futures Commission Merchants in Taiwan”, Working paper.

Zhang, W.D., Shuo Z. and Xueming L. (2006), “Technological progress, inefficiency, and productivity growth in the US securities industry, 19810-2000,” Journal of Business Research, Vol. 59, 589-594.

相關文件