IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v31y2023i2d10.1007_s10100-022-00817-1.html
   My bibliography  Save this article

Interest rate liberalization and bank efficiency: A DEA analysis of Chinese commercial banks

Author

Listed:
  • Huaqing Wu

    (Hefei University of Technology
    Hefei University of Technology)

  • Jingyu Yang

    (Hefei University of Technology)

  • Wensheng Wu

    (Hefei University of Technology)

  • Ya Chen

    (Hefei University of Technology
    Hefei University of Technology)

Abstract

The interest rate liberalization (IRL) policy reform in China intends to improve performance of financial institutions. However, the actual effect of the reform is still unclear since China accelerated the reform of interest rate liberalization in 2012. Based on a two-stage network data envelopment analysis (DEA) approach, we evaluate the overall efficiency, fund-raising efficiency and fund-using efficiency of Chinese commercial banks using a data set of 27 commercial banks from 2006 to 2020. Then we further examine the impact of interest rate liberalization on bank efficiency by using Tobit regression. The results show that interest rate liberalization is conductive to the promotion of bank efficiency. However, the positive effect does not appear in the whole production process. It is only reflected in the fund-raising stage. Interest rate liberalization seems to hinder the improvement of fund-using efficiency, which is worth the attention of Chinese commercial banks. Finally, we conclude with several policy implications based on the findings in this paper.

Suggested Citation

  • Huaqing Wu & Jingyu Yang & Wensheng Wu & Ya Chen, 2023. "Interest rate liberalization and bank efficiency: A DEA analysis of Chinese commercial banks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 467-498, June.
    • Handle: RePEc:spr:cejnor:v:31:y:2023:i:2:d:10.1007_s10100-022-00817-1
    DOI: 10.1007/s10100-022-00817-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10100-022-00817-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10100-022-00817-1?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. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    2. Aditi Bhattacharyya & Sudeshna Pal, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, John Wiley & Sons, vol. 22(3), pages 109-117, September.
    3. Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
    4. Bimei Deng & Barbara Casu & Alessandra Ferrari, 2014. "The Impact of Deregulation and Re-regulation on Bank Efficiency: Evidence from Asia," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Ted Lindblom & Stefan Sjögren & Magnus Willesson (ed.), Governance, Regulation and Bank Stability, chapter 6, pages 100-128, Palgrave Macmillan.
    5. Alin Marius Andries & Bogdan Capraru, 2013. "Impact of Financial Liberalization on Banking Sectors Performance from Central and Eastern European Countries," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-9, March.
    6. 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.
    7. Shamshur, Anastasiya & Weill, Laurent, 2019. "Does bank efficiency influence the cost of credit?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 62-73.
    8. Subal Kumbhakar & Dan Wang, 2007. "Economic reforms, efficiency and productivity in Chinese banking," Journal of Regulatory Economics, Springer, vol. 32(2), pages 105-129, October.
    9. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    10. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    11. Manh D. Pham & Valentin Zelenyuk, 2018. "Slack-based directional distance function in the presence of bad outputs: theory and application to Vietnamese banking," Empirical Economics, Springer, vol. 54(1), pages 153-187, February.
    12. Ya Chen & Mengyuan Wang & Jingyu Yang, 2021. "Measuring Chinese Bank Performance with Undesirable Outputs: A Slack-Based Two-Stage Network DEA Approach," International Series in Operations Research & Management Science, in: Joe Zhu & Vincent Charles (ed.), Data-Enabled Analytics, pages 299-326, Springer.
    13. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    14. Fadzlan Sufian, 2009. "The determinants of efficiency of publicly listed Chinese banks: evidence from two-stage banking models," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 2(1), pages 93-133.
    15. Hao, Jonathan & Hunter, William Curt & Yang, Won Keun, 2001. "Deregulation and efficiency: the case of private Korean banks," Journal of Economics and Business, Elsevier, vol. 53(2-3), pages 237-254.
    16. Chortareas, Georgios E. & Girardone, Claudia & Ventouri, Alexia, 2013. "Financial freedom and bank efficiency: Evidence from the European Union," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1223-1231.
    17. Lee, Chi-Chuan & Li, Xinrui & Yu, Chin-Hsien & Zhao, Jinsong, 2021. "Does fintech innovation improve bank efficiency? Evidence from China’s banking industry," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 468-483.
    18. Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.
    19. Maudos, Joaquín & Solís, Liliana, 2009. "The determinants of net interest income in the Mexican banking system: An integrated model," Journal of Banking & Finance, Elsevier, vol. 33(10), pages 1920-1931, October.
    20. Oriana Bandiera & Gerard Caprio & Patrick Honohan & Fabio Schiantarelli, 2000. "Does Financial Reform Raise or Reduce Saving?," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 239-263, May.
    21. Sunil Kumar & Rachita Gulati, 2014. "Deregulation and Efficiency of Indian Banks," India Studies in Business and Economics, Springer, edition 127, number 978-81-322-1545-5, December.
    22. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    23. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    24. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    25. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    26. 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.
    27. Bhattacharyya, Aditi & Pal, Sudeshna, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, Elsevier, vol. 22(3), pages 109-117.
    28. Mehdiloo, Mahmood & Podinovski, Victor V., 2019. "Selective strong and weak disposability in efficiency analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1154-1169.
    29. Abhiman Das & Saibal Ghosh, 2006. "Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period," Review of Financial Economics, John Wiley & Sons, vol. 15(3), pages 193-221.
    30. Abdul Abiad & Enrica Detragiache & Thierry Tressel, 2010. "A New Database of Financial Reforms," IMF Staff Papers, Palgrave Macmillan, vol. 57(2), pages 281-302, June.
    31. Ghosh, Saibal, 2009. "Financial Deregulation and Profit Efficiency: A Non-parametric Analysis of Indian Banks," MPRA Paper 24292, University Library of Munich, Germany.
    32. Niels Hermes & Aljar Meesters, 2015. "Financial liberalization, financial regulation and bank efficiency: a multi-country analysis," Applied Economics, Taylor & Francis Journals, vol. 47(21), pages 2154-2172, May.
    33. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    34. 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.
    35. Fukuyama, Hirofumi & Matousek, Roman, 2018. "Nerlovian revenue inefficiency in a bank production context: Evidence from Shinkin banks," European Journal of Operational Research, Elsevier, vol. 271(1), pages 317-330.
    36. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    37. Lozano, Sebastián, 2016. "Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector," Omega, Elsevier, vol. 60(C), pages 73-84.
    38. Tanna, Sailesh & Luo, Yun & De Vita, Glauco, 2017. "What is the net effect of financial liberalization on bank productivity? A decomposition analysis of bank total factor productivity growth," Journal of Financial Stability, Elsevier, vol. 30(C), pages 67-78.
    39. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    40. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    41. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    42. Fukuyama, Hirofumi & Mirdehghan, S.M., 2012. "Identifying the efficiency status in network DEA," European Journal of Operational Research, Elsevier, vol. 220(1), pages 85-92.
    43. Kao, Chiang, 2020. "Decomposition of slacks-based efficiency measures in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 283(2), pages 588-600.
    44. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    45. 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.
    46. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    47. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    48. Abdul Abiad & Ashoka Mody, 2005. "Financial Reform: What Shakes It? What Shapes It?," American Economic Review, American Economic Association, vol. 95(1), pages 66-88, March.
    49. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    50. Kao, Chiang, 2022. "A maximum slacks-based measure of efficiency for closed series production systems," Omega, Elsevier, vol. 106(C).
    51. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    52. Ang, James B. & McKibbin, Warwick J., 2007. "Financial liberalization, financial sector development and growth: Evidence from Malaysia," Journal of Development Economics, Elsevier, vol. 84(1), pages 215-233, September.
    53. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    54. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    55. Cevdet Denizer & Mustafa Dinc & Murat Tarimcilar, 2007. "Financial liberalization and banking efficiency: evidence from Turkey," Journal of Productivity Analysis, Springer, vol. 27(3), pages 177-195, June.
    56. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
    57. Boot, Arnoud W. A., 2000. "Relationship Banking: What Do We Know?," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 7-25, January.
    58. Zhao, Tianshu & Casu, Barbara & Ferrari, Alessandra, 2010. "The impact of regulatory reforms on cost structure, ownership and competition in Indian banking," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 246-254, January.
    59. Chen, Ya & Li, Yongjun & Liang, Liang & Salo, Ahti & Wu, Huaqing, 2016. "Frontier projection and efficiency decomposition in two-stage processes with slacks-based measures," European Journal of Operational Research, Elsevier, vol. 250(2), pages 543-554.
    60. Hirofumi Fukuyama & William L. Weber, 2017. "Measuring bank performance with a dynamic network Luenberger indicator," Annals of Operations Research, Springer, vol. 250(1), pages 85-104, March.
    61. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    62. Fukuyama, Hirofumi & Tan, Yong, 2022. "Implementing strategic disposability for performance evaluation: Innovation, stability, profitability and corporate social responsibility in Chinese banking," European Journal of Operational Research, Elsevier, vol. 296(2), pages 652-668.
    63. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    64. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    65. Sunil Kumar & Rachita Gulati, 2014. "A Survey of Empirical Literature on Bank Efficiency," India Studies in Business and Economics, in: Deregulation and Efficiency of Indian Banks, edition 127, chapter 0, pages 119-165, Springer.
    66. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    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. Yelena S. Petrenko & Aktam U. Burkhanov & Liudmila A. Bukalerova & Victoria S. Ustenko, 2024. "Counter-Cyclical Approach to Change Management in Banks for the Sustainable Development of the Financial System," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(1), pages 31-47, September.

    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. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    2. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    3. 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.
    4. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    5. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2020. "A Nerlovian cost inefficiency two-stage DEA model for modeling banks’ production process: Evidence from the Turkish banking system," Omega, Elsevier, vol. 95(C).
    6. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    7. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    8. Hirofumi Fukuyama & Yong Tan, 2021. "Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?," Annals of Operations Research, Springer, vol. 306(1), pages 383-413, November.
    9. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    10. Sánchez-González, Carlos & Sarto, José Luis & Vicente, Luis, 2017. "The efficiency of mutual fund companies: Evidence from an innovative network SBM approach," Omega, Elsevier, vol. 71(C), pages 114-128.
    11. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    12. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    13. Zhao, Linlin & Zhu, Qingyuan & Zhang, Lin, 2021. "Regulation adaptive strategy and bank efficiency: A network slacks-based measure with shared resources," European Journal of Operational Research, Elsevier, vol. 295(1), pages 348-362.
    14. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2024. "A unified framework for nonperforming loan modeling in bank production: An application of data envelopment analysis," Omega, Elsevier, vol. 126(C).
    15. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    16. Shi, Xiao & Wang, Libo & Emrouznejad, Ali, 2023. "Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    17. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    18. Lozano, Sebastián, 2016. "Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector," Omega, Elsevier, vol. 60(C), pages 73-84.
    19. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2022. "Bank production with nonperforming loans: A minimum distance directional slack inefficiency approach," Omega, Elsevier, vol. 113(C).
    20. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

    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:spr:cejnor:v:31:y:2023:i:2:d:10.1007_s10100-022-00817-1. 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.