IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v40y2013i3p387-406.html
   My bibliography  Save this article

An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function

Author

Listed:
  • Mei-Ying Huang
  • Tsu-Tan Fu

Abstract

Using the stochastic metafrontier framework of Battese et al. (J Prod Anal 21:91–103, 2004 ), this study proposes to compare and measure the cost efficiency and cost frontier gap between the banking industry in Taiwan and China. It further identifies environmental variables that determine bank’s cost frontier gap between two countries. Data on 69 sample banks for years 2005–2009 are used in the empirical analysis and inference. The empirical results show that Taiwanese banks have in general the superior cost frontier of production, but inferior cost efficiency of operation than Chinese banks. Private banks in Taiwan have the best cost frontier, whereas foreign banks in China are most cost efficient among all banks in Taiwan and China. The empirical results also reveal that the majority of Taiwanese banks are undersized and that most banks in China are oversized. Finally, the regression results show that the financial market structure, institutional environment, and political development are significant determinants of the cost gap between the cost frontiers of banks in Taiwan and China. Therefore, programs related to changes directed toward a better bank production environment can be initiated to improve the cost technologies of banks in both Taiwan and China. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Mei-Ying Huang & Tsu-Tan Fu, 2013. "An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function," Journal of Productivity Analysis, Springer, vol. 40(3), pages 387-406, December.
  • Handle: RePEc:kap:jproda:v:40:y:2013:i:3:p:387-406
    DOI: 10.1007/s11123-013-0342-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11123-013-0342-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11123-013-0342-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ta‐Cheng Chang & Yung‐Ho Chiu, 2006. "Affecting Factors On Risk‐Adjusted Efficiency In Taiwan'S Banking Industry," Contemporary Economic Policy, Western Economic Association International, vol. 24(4), pages 634-648, October.
    2. Ping-wen Lin, 2005. "An Empirical Analysis of Bank Mergers and Cost Efficiency in Taiwan," Small Business Economics, Springer, vol. 25(2), pages 197-206, September.
    3. Tser-Yieth Chen, 2001. "An estimation of X-inefficiency in Taiwan's banks," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 237-242.
    4. Tser-Yieth Chen & TSER-LIEN YEH, 2000. "A Measurement of Bank Efficiency, Ownership and Productivity Changes in Taiwan," The Service Industries Journal, Taylor & Francis Journals, vol. 20(1), pages 95-109, January.
    5. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    6. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    7. Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, June.
    8. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    9. William Greene & Dan Segal, 2004. "Profitability and Efficiency in the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 21(3), pages 229-247, May.
    10. Getu Hailu & Scott Jeffrey & James Unterschultz, 2005. "Cost Efficiency for Alberta and Ontario Dairy Farms: An Interregional Comparison," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2‐3), pages 141-160, June.
    11. Bos, J.W.B. & Schmiedel, H., 2007. "Is there a single frontier in a single European banking market?," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2081-2102, July.
    12. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    13. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    14. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    15. Tai‐Hsin Huang & Li‐Chih Chiang & Kuan‐Chen Chen, 2011. "An Empirical Study Of Bank Efficiencies And Technology Gaps In European Banking," Manchester School, University of Manchester, vol. 79(4), pages 839-860, July.
    16. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    17. Samy Ben Naceur & Hichem Ben-Khedhiri & Barbara Casu, 2009. "What Drives the Efficiency of Selected MENA Banks? A Meta-Frontier Analysis," Working Papers 499, Economic Research Forum, revised Aug 2009.
    18. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    19. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    20. Dietsch, Michel & Lozano-Vivas, Ana, 2000. "How the environment determines banking efficiency: A comparison between French and Spanish industries," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 985-1004, June.
    21. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    22. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    23. Chen, Xiaogang & Skully, Michael & Brown, Kym, 2005. "Banking efficiency in China: Application of DEA to pre- and post-deregulation eras: 1993-2000," China Economic Review, Elsevier, vol. 16(3), pages 229-245.
    24. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2009. "The effects of reform on China's bank structure and performance," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 39-52, January.
    25. Hsiao, Hsing-Chin & Chang, Hsihui & Cianci, Anna M. & Huang, Li-Hua, 2010. "First Financial Restructuring and operating efficiency: Evidence from Taiwanese commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1461-1471, July.
    26. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
    27. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    28. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chi‐Chuan Lee & Tai‐Hsin Huang, 2019. "What Causes The Efficiency And The Technology Gap Under Different Ownership Structures In The Chinese Banking Industry?," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 332-348, April.
    2. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    3. Lee, Chi-Chuan & Huang, Tai-Hsin, 2017. "Cost efficiency and technological gap in Western European banks: A stochastic metafrontier analysis," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 161-178.
    4. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    5. Lee, Chi-Chuan & Huang, Tai-Hsin, 2016. "Productivity changes in pre-crisis Western European banks: Does scale effect really matter?," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 29-48.
    6. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    7. Dan Luo & Shujie Yao & Jian Chen & Jianling Wang, 2011. "World Financial Crisis and Efficiency of Chinese Commercial Banks," The World Economy, Wiley Blackwell, vol. 34, pages 805-825, May.
    8. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    9. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    10. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    11. Dong Xiang & Parmendra Sharma & Yuming Zhang, 2019. "The Global Financial Crisis, Fiscal Stimulus Package and the Chinese Banking Sector — A Pre- and Post-Efficiency Analysis," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-43, June.
    12. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    13. Chrysovalantis Gaganis & Iftekhar Hasan & Fotios Pasiouras, 2013. "Efficiency and stock returns: evidence from the insurance industry," Journal of Productivity Analysis, Springer, vol. 40(3), pages 429-442, December.
    14. Carlos Barros & Hidemichi Fujii & Shunsuke Managi, 2015. "How scale and ownership are related to financial performance? A productivity analysis of the Chinese banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    15. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    16. Chen, Xiang & Lu, Ching-Cheng, 2021. "The impact of the macroeconomic factors in the bank efficiency: Evidence from the Chinese city banks," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    17. Chen, Xiang & Grifell-Tatjé, Emili & Fu, Tsu-Tan, 2023. "A profit difference decomposition model for measuring group performance: an application to Chinese and Taiwanese commercial banks," Omega, Elsevier, vol. 120(C).
    18. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    19. Kontolaimou, Alexandra & Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Kostas, 2012. "Technology gaps in European banking: Put the blame on inputs or outputs?," Economic Modelling, Elsevier, vol. 29(5), pages 1798-1808.
    20. Tsui-Yueh Cho & Tsai-Yi Wang, 2018. "Estimations of cost metafrontier Malmquist productivity index: using international tourism hotels in Taiwan as an example," Empirical Economics, Springer, vol. 55(4), pages 1661-1694, December.

    More about this item

    Keywords

    Cost efficiency; Cost gap ratio; Metafrontier; Economies of scale; C23; C51; D24; G21; L11;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jproda:v:40:y:2013:i:3:p:387-406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.