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Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model

Author

Listed:
  • Yun Tu

    (Nankai University)

  • Bin Sheng

    (Nankai University)

  • Chien-Heng Tu

    (National Kaohsiung University of Science and Technology)

  • Yung-ho Chiu

    (Soochow University)

Abstract

Taking risk management as an independent department and comparable factor, we set up three parallel departments (credit, risk management, and investment) in a bank. To resolve the problem of common resource allocation, this study is the first to combine the three parallel departments and the optimal common resource allocation in the banking framework. The empirical results show the following. (1) The efficiency and ranking of banks with risk management are better than that without risk management. (2) Banks that share common resources in an optimal way have higher efficiency than banks that share resources in a non-optimal way.

Suggested Citation

  • Yun Tu & Bin Sheng & Chien-Heng Tu & Yung-ho Chiu, 2025. "Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3545-3571, June.
  • Handle: RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10682-6
    DOI: 10.1007/s10614-024-10682-6
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    References listed on IDEAS

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    1. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    2. Kao, Chiang, 2013. "Dynamic data envelopment analysis: A relational analysis," European Journal of Operational Research, Elsevier, vol. 227(2), pages 325-330.
    3. Saiful Saiful & Dea Puspita Ayu, 2019. "Risks Management and Bank Performance: The Empirical Evidences from Indonesian Conventional and Islamic Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 90-94.
    4. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    5. An, Qingxian & Wen, Yao & Ding, Tao & Li, Yongli, 2019. "Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method," Omega, Elsevier, vol. 85(C), pages 16-25.
    6. Shahsuzan Zakaria, 2023. "The Need to go Beyond Deterministic Data Envelopment Analysis (DEA): A Comparative Analysis with Bootstrapping DEA in Risk Management Efficiency Measurements," Information Management and Business Review, AMH International, vol. 15(4), pages 433-446.
    7. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    8. Yong Tan & Christos Floros, 2019. "Risk, competition and cost efficiency in the Chinese banking industry," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 10(2), pages 144-161.
    9. Rolf Fare & Shawna Grosskopf & William Weber, 2004. "The effect of risk-based capital requirements on profit efficiency in banking," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1731-1743.
    10. Zhou, Xiaoyang & Xu, Zhongwen & Chai, Jian & Yao, Liming & Wang, Shouyang & Lev, Benjamin, 2019. "Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model," Omega, Elsevier, vol. 85(C), pages 68-82.
    11. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    12. Phung, Quang Thanh & Van Vu, Huong & Tran, Huy Phuoc, 2022. "Do non-performing loans impact bank efficiency?," Finance Research Letters, Elsevier, vol. 46(PB).
    13. Fang, Jianchun & Lau, Chi-Keung Marco & Lu, Zhou & Tan, Yong & Zhang, Hua, 2019. "Bank performance in China: A Perspective from Bank efficiency, risk-taking and market competition," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 290-309.
    14. Phung, Manh-Trung & Cheng, Cheng-Ping & Guo, Chuanyin & Kao, Chen-Yu, 2020. "Mixed Network DEA with Shared Resources: A Case of Measuring Performance for Banking Industry," Operations Research Perspectives, Elsevier, vol. 7(C).
    15. Saif Ullah & Abdul Majeed & József Popp, 2023. "Determinants of bank’s efficiency in an emerging economy: A data envelopment analysis approach," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-17, March.
    16. Jose Pastor, 1999. "Efficiency and risk management in Spanish banking: a method to decompose risk," Applied Financial Economics, Taylor & Francis Journals, vol. 9(4), pages 371-384.
    17. 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.
    18. Mircea Epure & Esteban Lafuente, 2015. "Monitoring bank performance in the presence of risk," Journal of Productivity Analysis, Springer, vol. 44(3), pages 265-281, December.
    19. Omrani, Hashem & Soltanzadeh, Elham, 2016. "Dynamic DEA models with network structure: An application for Iranian airlines," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 52-61.
    20. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    21. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    22. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    23. Abdul Qayyum & Khalid Riaz, 2018. "Incorporating Credit Quality in Bank Efficiency Measurements: A Directional Distance Function Approach," JRFM, MDPI, vol. 11(4), pages 1-19, November.
    24. Rawan ABUZARQA, 2019. "Banking Risk Management According To The Requirements Of The Basel Agreements," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 19, pages 29-38, May.
    25. Zha, Yong & Liang, Liang, 2010. "Two-stage cooperation model with input freely distributed among the stages," European Journal of Operational Research, Elsevier, vol. 205(2), pages 332-338, September.
    26. Hao Wang & Yu Wang & Shuang Zhao & Lan-ping Wang & Hui An, 2018. "The transnational comparative study on the potential risks and efficiency of commercial banks based on the weight-limited DEA model," China Finance Review International, Emerald Group Publishing Limited, vol. 8(4), pages 441-452, May.
    27. Richard Simper & Maximilian J. B. Hall & WenBin Liu & Valentin Zelenyuk & Zhongbao Zhou, 2017. "How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks," Annals of Operations Research, Springer, vol. 250(1), pages 105-127, March.
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