[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v73y2018icp254-263.html
   My bibliography  Save this article

Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach

Author

Listed:
  • Chen, Zhongfei
  • Wanke, Peter
  • Tsionas, Mike G.
Abstract
Banking in China is well-known for being extremely fragmented, thus making the analysis of the sector not a straightforward task. This study aims to explore the strategic fit of potential mergers and acquisitions in the Chinese banking industry. When the operations of two banks are jointly analyzed this means that the inputs and the outputs of these two individual banks are somehow combined in an attempt to better understand the sector as a whole. A novel SFA model with Bayesian inference on input/output prices is proposed to assess the impact of business-related variables on efficiency levels. The results not only reveal that bank size, type, and origin present a significant impact on individual technical efficiency levels, but also exert a significant impact on the efficiency frontier of the industry. The strategic fit of M&As in the Chinese banking industry strongly relies on opportunities derived from banking automation that may arise from acquiring technologically obsolete small banks. Big and foreign banks also exert a positive impact on the technological catch-up of Chinese banks, which may suggest opportunities for sector deregulation.

Suggested Citation

  • Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    • Handle: RePEc:eee:ecmode:v:73:y:2018:i:c:p:254-263
    DOI: 10.1016/j.econmod.2018.04.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999317316553
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2018.04.002?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. Fungáčová, Zuzana & Pessarossi, Pierre & Weill, Laurent, 2013. "Is bank competition detrimental to efficiency? Evidence from China," China Economic Review, Elsevier, vol. 27(C), pages 121-134.
    2. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    3. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.
    4. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1045-1055, September.
    5. R. Abdul Rahman & R.J. Limmack, 2004. "Corporate Acquisitions and the Operating Performance of Malaysian Companies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(3-4), pages 359-400.
    6. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    7. Peyrache, Antonio, 2013. "Industry structural inefficiency and potential gains from mergers and break-ups: A comprehensive approach," European Journal of Operational Research, Elsevier, vol. 230(2), pages 422-430.
    8. Mamatzakis, Emmanuel & Matousek, Roman & Vu, Anh Nguyet, 2016. "What is the impact of bankrupt and restructured loans on Japanese bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 187-202.
    9. S Lozano & G Villa, 2010. "DEA-based pre-merger planning tool," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1485-1497, October.
    10. Kohers, Theodor & Huang, Ming-hsiang & Kohers, Ninon, 2000. "Market perception of efficiency in bank holding company mergers: the roles of the DEA and SFA models in capturing merger potential," Review of Financial Economics, Elsevier, vol. 9(2), pages 101-120, December.
    11. Kraft, Evan & Tirtiroglu, Dogan, 1998. "Bank Efficiency in Croatia: A Stochastic-Frontier Analysis," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 282-300, June.
    12. Amel, Dean & Barnes, Colleen & Panetta, Fabio & Salleo, Carmelo, 2004. "Consolidation and efficiency in the financial sector: A review of the international evidence," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2493-2519, October.
    13. Ben Craig & Valeriya Dinger, 2009. "Bank Mergers and the Dynamics of Deposit Interest Rates," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(2), pages 111-133, December.
    14. Fotios Pasiouras & Chrysovalantis Gaganis, 2007. "Financial characteristics of banks involved in acquisitions: evidence from Asia," Applied Financial Economics, Taylor & Francis Journals, vol. 17(4), pages 329-341.
    15. R. Abdul Rahman & R.J. Limmack, 2004. "Corporate Acquisitions and the Operating Performance of Malaysian Companies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(3‐4), pages 359-400, April.
    16. 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.
    17. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    18. Sun, Jianjun & Harimaya, Kozo & Yamori, Nobuyoshi, 2013. "Regional economic development, strategic investors, and efficiency of Chinese city commercial banks," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1602-1611.
    19. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Erratum to: Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 983-983, August.
    20. Ronan G. Powell, 2001. "Takeover Prediction and Portfolio Performance: A Note," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 993-1011, September.
    21. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    22. Dietrich, J. Kimball & Sorensen, Eric, 1984. "An application of logit analysis to prediction of merger targets," Journal of Business Research, Elsevier, vol. 12(3), pages 393-402, September.
    23. Pessarossi, Pierre & Weill, Laurent, 2015. "Do capital requirements affect cost efficiency? Evidence from China," Journal of Financial Stability, Elsevier, vol. 19(C), pages 119-127.
    24. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2007. "Cost X-efficiency in China's banking sector," China Economic Review, Elsevier, vol. 18(1), pages 35-53.
    25. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2013. "Systemically important banks and financial stability: The case of Latin America," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3855-3866.
    26. 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.
    27. Peter Wanke & Carlos P. Barros & Md. Abul Kalam Azad & Dercio Constantino, 2016. "The Development of the Mozambican Banking Sector and Strategic Fit of Mergers and Acquisitions: A Two†Stage DEA Approach," African Development Review, African Development Bank, vol. 28(4), pages 444-461, December.
    28. Gayle Delong & Robert Deyoung, 2007. "Learning by Observing: Information Spillovers in the Execution and Valuation of Commercial Bank M&As," Journal of Finance, American Finance Association, vol. 62(1), pages 181-216, February.
    29. Fried, Harold O. & Lovell, C. A. Knox & Yaisawarng, Suthathip, 1999. "The impact of mergers on credit union service provision," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 367-386, February.
    30. Mohamed Sassenou, 1992. "Économies de coûts dans les banques et les caisses d'épargne, impact de la taille et de la variété de produits," Revue Économique, Programme National Persée, vol. 43(2), pages 277-300.
    31. HSIAO, Cheng & SHEN, Yan & BIAN, Wenlong, 2015. "Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks," China Economic Review, Elsevier, vol. 35(C), pages 70-82.
    32. Peter Bogetoft & Dexiang Wang, 2005. "Estimating the Potential Gains from Mergers," Journal of Productivity Analysis, Springer, vol. 23(2), pages 145-171, May.
    33. Pereira da Silva, Paulo & Vieira, Isabel & Vieira, Carlos, 2015. "M&A operations: Further evidence of informed trading in the CDS market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 116-130.
    34. Elena Beccalli & Pascal Frantz, 2009. "M&A Operations and Performance in Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(2), pages 203-226, December.
    35. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    36. J Harris & H Ozgen & Y Ozcan, 2000. "Do mergers enhance the performance of hospital efficiency?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 801-811, July.
    37. Alba, Joseph D. & Park, Donghyun & Wang, Peiming, 2009. "Corporate governance and merger and acquisition (M&A) FDI: Firm-level evidence from Japanese FDI into the US," Journal of Multinational Financial Management, Elsevier, vol. 19(1), pages 1-11, February.
    38. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    39. S J Ho & S K Mallick, 2010. "The impact of information technology on the banking industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 211-221, February.
    40. 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.
    41. 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.
    42. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    43. Ghosh, Aloke, 2001. "Does operating performance really improve following corporate acquisitions?," Journal of Corporate Finance, Elsevier, vol. 7(2), pages 151-178, June.
    44. Sun, Lei & Chang, Tzu-Pu, 2011. "A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1727-1735, July.
    45. Du, Kai & Sim, Nicholas, 2016. "Mergers, acquisitions, and bank efficiency: Cross-country evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 499-510.
    46. Mark Girolami & Ben Calderhead, 2011. "Riemann manifold Langevin and Hamiltonian Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(2), pages 123-214, March.
    47. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    48. Ronan G. Powell, 2001. "Takeover Prediction and Portfolio Performance: A Note," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 993-1011, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Skevas, Ioannis, 2024. "Accounting for technology heterogeneity in the measurement of persistent and transient inefficiency," Economic Modelling, Elsevier, vol. 137(C).
    2. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    3. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
    4. Tan, Yong & Walheer, Barnabé, 2024. "Stability and economic performances in the banking industry: The case of China," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 326-345.

    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. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    2. Goodness C. Aye & Giray Gozgor & Rangan Gupta, 2020. "Dynamic and Asymmetric Response of Inequality to Income Volatility: The Case of the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 747-762, February.
    3. Hai-Liu Shi & Ying-Ming Wang & Sheng-Qun Chen & Yi-Xin Lan, 2017. "An approach to two-sided M&A fits based on a cross-efficiency evaluation with contrasting attitudes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 41-52, January.
    4. 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.
    5. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    6. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    7. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    8. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    9. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    10. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    11. 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.
    12. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1045-1055, September.
    13. Li, Hui & Wu, Dongdong, 2024. "Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model," Omega, Elsevier, vol. 122(C).
    14. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    15. Subhash C. Ray & Shilpa Sethia, 2022. "Nonparametric measurement of potential gains from mergers: an additive decomposition and application to Indian bank mergers," Journal of Productivity Analysis, Springer, vol. 57(2), pages 115-130, April.
    16. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    17. Bayiley, Yitbarek Takele & Redae, Haben Mehari, 2022. "Domestic Bank Merger and Acquisition in Ethiopia: a prudent strategy for efficiency and synergy gain," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 26(1), April.
    18. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).
    19. Li Jia & Wang Ping & Tao Xiangyang & Wen Yao, 2021. "Productivity Analysis for Banks’ Merger and Acquisition Using Two-Stage DEA: Evidence from China," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 627-659, December.
    20. Jianhui Xie & Xiaoxuan Zhu & Liang Liang, 2020. "A multiplicative method for estimating the potential gains from two-stage production system mergers," Annals of Operations Research, Springer, vol. 288(1), pages 475-493, May.

    More about this item

    Keywords

    Banks; China; Potential merger and acquisitions; SFA; Bayesian inference; Strategic fit;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

    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:eee:ecmode:v:73:y:2018:i:c:p:254-263. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.