IDEAS home Printed from https://ideas.repec.org/a/ebj/ijpssr/2025v4iiva4.html

Assessing Pakistani Bank's Efficiency, A Data Envelopment Analysis Study on Post-M&As

Author

Listed:
  • Rao Sabir Nawaz (勇敢)

Abstract

Large-scale M&A involved in the banking sector as the primary target have been initiated by nations globally throughout the last decade of the 20th century. A merger is a corporate restructuring tactic that has a wide range of effects on the business's performance. This study analyzed the impact of M&A on the banking industry in Pakistan from 2007 to 2017, covering four years before and after (-4, +4 years) each M&As and calculated the average efficiency score for before and after merger periods. To examine the impact of merger and acquisition on bank efficiency, this study employs DEA method in R software under both CRS and VRS. Three different input and output frameworks are applied to estimate each bank technical efficiency, pure technical efficiency and scale efficiency. The results reveal a mixed impact of M&As on banks efficiency. The result reveals that few banks showed improve efficiency after M&A technique, while many banks face increased inefficiency after M&As. However, In conclusion the research findings depict that Pakistani Banks has not got any beneficial change after mergers and acquisitions (M&As).

Suggested Citation

  • Rao Sabir Nawaz (勇敢), 2025. "Assessing Pakistani Bank's Efficiency, A Data Envelopment Analysis Study on Post-M&As," International Journal of Politics & Social Sciences Review (IJPSSR), International Journal of Politics & Social Sciences Review (IJPSSR), vol. 4(IV), pages 32-39.
  • Handle: RePEc:ebj:ijpssr:2025v4iiva4
    as

    Download full text from publisher

    File URL: https://ojs.ijpssr.org.pk/index.php/ijpssr/article/download/199/143/1575
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. Zhu, Qingyuan & Wu, Jie & Ji, Xiang & Li, Feng, 2018. "A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity," Omega, Elsevier, vol. 79(C), pages 1-8.
    3. Jie Wu & Qingxian An & Liang Liang, 2011. "Mergers and acquisitions based on DEA approach," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 3(3), pages 227-240.
    4. Yongjun Li & Feng Li & Ali Emrouznejad & Liang Liang & Qiwei Xie, 2019. "Allocating the fixed cost: an approach based on data envelopment analysis and cooperative game," Annals of Operations Research, Springer, vol. 274(1), pages 373-394, March.
    5. Bertrand, Olivier & Betschinger, Marie-Ann, 2012. "Performance of domestic and cross-border acquisitions: Empirical evidence from Russian acquirers," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 413-437.
    6. Hankir, Yassin & Rauch, Christian & Umber, Marc P., 2011. "Bank M&A: A market power story?," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2341-2354, September.
    7. Zhu, Qingyuan & Aparicio, Juan & Li, Feng & Wu, Jie & Kou, Gang, 2022. "Determining closest targets on the extended facet production possibility set in data envelopment analysis: Modeling and computational aspects," European Journal of Operational Research, Elsevier, vol. 296(3), pages 927-939.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    9. Behr, Andreas & Heid, Frank, 2011. "The success of bank mergers revisited. An assessment based on a matching strategy," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 117-135, January.
    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. Kao, Chiang, 2022. "A maximum slacks-based measure of efficiency for closed series production systems," Omega, Elsevier, vol. 106(C).
    2. Kao, Chiang, 2022. "Closest targets in the slacks-based measure of efficiency for production units with multi-period data," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1042-1054.
    3. Monge, Juan F. & Ruiz, José L., 2023. "Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: A bi-level linear programming approach in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1084-1096.
    4. Anup Kumar Bhandari & Vipin V, 2018. "Does Export Intensity Affect Firm Performance? Evidence from Basic Metal Industry in India," Working Papers id:12767, eSocialSciences.
    5. Bao Jiang & Enxin Chi & Jian Li, 2022. "Uncertain Data Envelopment Analysis for Cross Efficiency Evaluation with Imprecise Data," Mathematics, MDPI, vol. 10(13), pages 1-9, June.
    6. Ali Kabasakal & Aziz Kutlar & Murat Sarikaya, 2015. "Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression," 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. 23(1), pages 69-88, March.
    7. Korhonen, Pekka J. & Dehnokhalaji, Akram & Nasrabadi, Nasim, 2018. "A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1005-1012.
    8. Ferreira, D.C. & Marques, R.C., 2019. "Do quality and access to hospital services impact on their technical efficiency?," Omega, Elsevier, vol. 86(C), pages 218-236.
    9. Valentina Bosetti & Mariaester Cassinelli & Alessandro Lanza, 2007. "Benchmarking in Tourism Destinations; Keeping in Mind the Sustainable Paradigm," Springer Books, in: Álvaro Matias & Peter Nijkamp & Paulo Neto (ed.), Advances in Modern Tourism Research, chapter 0, pages 165-180, Springer.
    10. M. Lábaj & M. Luptáčik & E. Nežinský, 2014. "Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 407-424, August.
    11. Sadia Farooq, 2018. "Performance Evaluation of Microfinance Providers Using Data Envelopment Analysis: The Profitability Perspective," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 5(1), pages 111-123, March.
    12. Valadkhani, Abbas & Moradi-Motlagh, Amir, 2025. "Examining inefficiency in countries with high energy consumption: A benchmarking approach," Energy Economics, Elsevier, vol. 145(C).
    13. Peter Bogetoft & Dexiang Wang, 2005. "Estimating the Potential Gains from Mergers," Journal of Productivity Analysis, Springer, vol. 23(2), pages 145-171, May.
    14. Chu, Junfei & Dong, Yanhua & Wang, Weijiao & Rui, Yuting & Yuan, Zhe, 2025. "Data envelopment analysis fixed cost allocation based on dynamic bargaining game and the Nash equilibrium," European Journal of Operational Research, Elsevier, vol. 325(2), pages 317-328.
    15. Feng Li & Han Wu & Qingyuan Zhu & Liang Liang & Gang Kou, 2021. "Data envelopment analysis cross efficiency evaluation with reciprocal behaviors," Annals of Operations Research, Springer, vol. 302(1), pages 173-210, July.
    16. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
    17. Kao, Chiang, 2020. "Measuring efficiency in a general production possibility set allowing for negative data," European Journal of Operational Research, Elsevier, vol. 282(3), pages 980-988.
    18. Ferreira, Diogo Cunha & Nunes, Alexandre Morais & Marques, Rui Cunha, 2018. "Doctors, nurses, and the optimal scale size in the Portuguese public hospitals," Health Policy, Elsevier, vol. 122(10), pages 1093-1100.
    19. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).
    20. Tao, Xiangyang & Peng, Qiaoyu, 2025. "Moral hazard in data envelopment analysis benchmarking," European Journal of Operational Research, Elsevier, vol. 327(1), pages 203-217.

    More about this item

    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:ebj:ijpssr:2025v4iiva4. 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: Hazrat Bilal (email available below). General contact details of provider: http://www.ijpssr.org.pk .

    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.