English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140903 (78%)
Visitors : 46039189      Online Users : 1091
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/124141
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124141


    Title: 運用隨機共同成本邊界函數聯合估計與比較中國銀行業之競爭程度及成本效率
    Applying the Stochastic Metafrontier Cost Function to Jointly Estimate and Compare the Market Competition and Cost Efficiency of Chinese Banking Industry
    Authors: 陳禹伶
    Chen, Yu-Ling
    Contributors: 黃台心
    Huang, Tai-Hsin
    陳禹伶
    Chen, Yu-Ling
    Keywords: 共同邊界模型
    隨機邊界法
    成本效率
    Metafrontier
    SFA
    Lerner index
    Cost efficiency
    Date: 2019
    Issue Date: 2019-07-01 10:47:50 (UTC+8)
    Abstract: 本文探討中國銀行業在2006年至2016年間的成本效率以及競爭程度,將中國銀行業分為2個群組,第一類為國有銀行,第二類為城市商業銀行,共有83家銀行,417筆觀察值,使用隨機共同成本邊界模型進行估計,其中競爭程度的衡量指標為新Lerner指數,可避免過去相關研究可能得到負值的Lerner指數,出現負值代表違反經濟理論。本文在第一階段採用Huang, Liu, and Kumbhakar (2018) 提出的方法,運用關聯結構法針對兩類 (群組) 銀行資料,分別聯立估計隨機成本邊界函數和價格迴歸方程式,得到此兩群組銀行的成本效率值和市場競爭程度指標,接著在第二階段估計共同邊界函數,本文採用Huang, Huang and Liu (2014)提出之隨機共同邊界法,揚棄使用線性規劃或二次規劃法,此階段可計算出TGR和MCGR,進而計算兩群組的共同成本效率與潛在Lerner 指數並進行比較,針對競爭度的方面,本文亦同時估計結構法包含CR4與HHI來做比較。實證結果發現在效率方面,城市商業銀行效率較國有銀行高,而在競爭度中,結構法的估計結果為國有銀行市場力較強,但在潛在Lerner 指數與傳統Lerner 指數方面發現城市商業銀行市場力較強。
    This paper applied the stochastic metafrontier cost function to jointly estimate the competition and cost efficiency of Chinese banking industry in 2006 to 2016. We divided Chinese banking industry into two groups. The first group is state-owned banks. The second group is city commercial banks. We used the model of Huang, Liu, and Kumbhakar (2018) to estimate the new Lerner index and cost efficiency. Then used the metafrontier model of Huang, Huang and Liu (2014) to estimate the mc gap, technology gap and compute the potential Lerner index and meta cost efficiency. The empirical result showed that commercial city banks are more efficient than state-owned banks. And the average Lerner index of commercial city banks is higher than state-owned banks. It showed that the market power of commercial city banks is larger than state-owned banks.
    Reference: [1] 黃台心,江典霖,張凱雅(2015),「再探銀行產業的市場競爭度-東亞八國的實證分析」,《管理評論》第34卷 第4期,59-76。

    [2] 黃台心,鍾銘泰,陳世章(2018年),「臺灣證券業市場競爭度與創新之研究」,《證券市場發展季刊》,30,151-193。

    [3] Andrieş, A.M., Căpraru, B. (2012), Competition and Efficiency in EU27 Banking Systems, Baltic Journal of Economics, 12(1),41-60.

    [4] Ariff, M., & Can, L. (2008), Cost and Profit Efficiency of Chinese Banks: A Non-Parametric Analysis, China Economic Review, 19, 260–273.

    [5] Battese GE, Rao DSP, O’Donnell CJ (2004) A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating under Different Technologies. J Prod Anal 21,91–103.

    [6] Berger, A., Hasan, I., & Zhou, M. (2005), Bank Ownership and Efficiency in China: What Will Happen in the World`s Largest Nation?, Journal of Banking and Finance, 33(1), 113–130.

    [7] Chen, X., Skully, M., Brown, K. (2005), Banking Efficiency in China: Application of DEA to Pre- and Post-Deregulations era: 1993–2000, China Economic Review, 16, 229–245.

    [8] Chen, Y., Wang, Y. (2015), The Efficiency of China`s Banking Industry and the Determinants, International Economic Journal, 24 1-23.

    [9] Fu, X. (2009), Competition in Chinese Commercial Banking, Banking and Finance Review, 1, 1–16.

    [10] Fu, X., Heffernan, S. (2007), Cost X-efficiency in China`s Banking Sector, China Economic Review 18 ,35–53.

    [11] Fungáčová,Z., Pessarossi, P., Weill, L.(2013), Is Bank Competition Detrimental to Efficiency? Evidence from China, China Economic Review 27 (2013) 121–134.

    [12] Fungáčová,Z., Shamshur, A., Weill, L.(2017), Does Bank Competition Reduce Cost of Credit? Cross-Country Evidence from Europe, Journal of Banking and Finance ,83, 104-120.

    [13] Huang, C. J., Huang, T. H., Liu, N. H. (2014). A New Approach to Estimating the Metafrontier Production Function Based on a Stochastic Frontier Framework. Journal of Productivity Analysis, 42, 241–254.

    [14] Huang, M.Y., Fu, T.T. (2013), An Examination of the Cost Efficiency of Banks in Taiwan and China Using the Metafrontier Cost Function, Journal of Productivity Analysis, 40(3),387-406.

    [15] Huang, T. H., Chiang, D.L, Chao, S.W.(2017), A New Approach to Jointly Estimating the Lerner Index and Cost Efficiency for Multi-Output Banks under a Stochastic Meta-frontier Framework, The Quarterly Review of Economics and Finance, 65,212–226.

    [16] Huang, T.H., Liu, N.H., and S.C. Kumbhakar (2018), Joint Estimation of the Lerner Index and Cost Efficiency Using Copula Methods, Empirical Economics, 54(2), 799-822.

    [17] Jiang C., Yao, S., Zhang, Z.(2009), The Effects of Governance Changes on Bank Efficiency in China: A Stochastic Distance Function Approach, China Economic Review, 20,717–731.

    [18] Lai, H.P., Huang, C.J.,(2013), Maximum Likelihood Estimation of Seemingly Unrelated Stochastic Frontier Regressions, Journal of Productivity Analysis,40,1-14.

    [19] Lin, H.L., Tsao, C.C., Yang, C.H. (2009), Bank Reforms, Competition and Efficiency in China’s Banking System: Are Small City Bank Entrants More Efficient? ,China & World Economy,17,69 – 87.

    [20] Lu, Y., Fung, H.G., Jiang, X. (2007), Market Structure and Profitability of Chinese Commercial Banks, The Chinese Economy, 40(5) 100-113.

    [21] Masood,O., Sergi, B.S.(2011), China’s Banking System, Market Structure, and Competitive Conditions, Frontiers of Economics in China, 6(1), 22-35.

    [22] Qin, B., Shaffer, S. (2014), A Test of Competition in Chinese Banking, Applied Economics Letters, 21, 602-604.

    [23] Weill, L. (2011), Do Islamic Banks Have Greater Market Power? Comparative Economic Studies,53, 291–306.

    [24] Yao, S., Jiang, C., Feng, G., Willenbockel, D. (2007), WTO Challenges and Efficiency of Chinese Banks, Applied Economics, 39, 629–643.

    [25] Yin, H., Yang, J., Mehran, J. (2013), An Empirical Study of Bank Efficiency in China After WTO Accession, Global Finance Journal, 24,153–170.

    [26] Yuan, Y. (2006), The State of Competition of the Chinese Banking Industry, Journal of Asian Economics, 17, 519–534.
    Description: 碩士
    國立政治大學
    金融學系
    106352022
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106352022
    Data Type: thesis
    DOI: 10.6814/NCCU201900054
    Appears in Collections:[金融學系] 學位論文

    Files in This Item:

    File SizeFormat
    202201.pdf965KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback