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A Cobb Douglas Stochastic Frontier Model on Measuring Domestic Bank Efficiency in Malaysia

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  • Md Zobaer Hasan
  • Anton Abdulbasah Kamil
  • Adli Mustafa
  • Md Azizul Baten

Abstract

Banking system plays an important role in the economic development of any country. Domestic banks, which are the main components of the banking system, have to be efficient; otherwise, they may create obstacle in the process of development in any economy. This study examines the technical efficiency of the Malaysian domestic banks listed in the Kuala Lumpur Stock Exchange (KLSE) market over the period 2005–2010. A parametric approach, Stochastic Frontier Approach (SFA), is used in this analysis. The findings show that Malaysian domestic banks have exhibited an average overall efficiency of 94 percent, implying that sample banks have wasted an average of 6 percent of their inputs. Among the banks, RHBCAP is found to be highly efficient with a score of 0.986 and PBBANK is noted to have the lowest efficiency with a score of 0.918. The results also show that the level of efficiency has increased during the period of study, and that the technical efficiency effect has fluctuated considerably over time.

Suggested Citation

  • Md Zobaer Hasan & Anton Abdulbasah Kamil & Adli Mustafa & Md Azizul Baten, 2012. "A Cobb Douglas Stochastic Frontier Model on Measuring Domestic Bank Efficiency in Malaysia," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-5, August.
    • Handle: RePEc:plo:pone00:0042215
    DOI: 10.1371/journal.pone.0042215
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    Cited by:

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    3. Zhujia Yin & Yantuan Yu & Jianhuan Huang, 2018. "Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    4. 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.
    5. Lamees Al-Durgham & Mohammad Adeinat, 2020. "Efficiency of Listed Manufacturing Firms in Jordan: A Stochastic Frontier Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 5-9.
    6. Baseem Al-athwari & Jorn Altmann, 2015. "Utility-Based Smartphone Energy Consumption Optimization for Cloud-Based and On-Device Application Uses," TEMEP Discussion Papers 2015125, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2015.
    7. Kishor Hakuduwal, Ph.D., 2018. "Technical Efficiency of Nepalese Banking Sector," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 30(2), pages 1-35, October.
    8. Sabin Bikram Panta & Devi Prasad Bedari, Ph.D., 2015. "Cost Efficiency of Nepali Commercial Banks in the Context of Regulatory Changes," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 27(2), pages 1-16, October.
    9. Wasi Ul Hassan Shah & Gang Hao & Nan Zhu & Rizwana Yasmeen & Ihtsham Ul Haq Padda & Muhammad Abdul Kamal, 2022. "A cross-country efficiency and productivity evaluation of commercial banks in South Asia: A meta-frontier and Malmquist productivity index approach," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-17, April.

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