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Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking

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  • Juo, Jia-Ching
  • Fu, Tsu-Tan
  • Yu, Ming-Miin

Abstract

A change in profit can originate from the output side and the input side. In the spirit of work by Tone [1] and follows Grifell-Tatjé and Lovell's [2], we propose a non-oriented slacks-based measure (SBM) model to decompose the change in the operating profit into various meaningful components: quantity effect and a price effect. The quantity effect can be decomposed into a productivity effect and an activity effect. The productivity effect is further decomposed into a technical effect and an operating efficiency effect. Both of them include an output side, which will result in a change in revenue and an input side which will result in a change in cost. The activity effect can be decomposed into a product mix effect, a resource mix effect and a scale effect. We illustrate our decompositions to the Taiwanese banking sector during the period 1994–2002 using the average of the base and current prices to evaluate these contributions. We find ignoring input side effects on the decomposition of profit changes would cause misleading results in managerial issues.

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  • Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin, 2012. "Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking," Omega, Elsevier, vol. 40(5), pages 550-561.
  • Handle: RePEc:eee:jomega:v:40:y:2012:i:5:p:550-561
    DOI: 10.1016/j.omega.2011.11.002
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    11. Fu, Tsu-Tan & Juo, Jia-Ching & Chiang, Han-Chin & Yu, Ming-Miin & Huang, Mei-ying, 2016. "Risk-based decompositions of the meta profit efficiency of Taiwanese and Chinese banks," Omega, Elsevier, vol. 62(C), pages 34-46.
    12. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin & Lin, Yu-Hui, 2015. "Profit-oriented productivity change," Omega, Elsevier, vol. 57(PB), pages 176-187.
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    17. Kok Fong See & Yong He, 2015. "Determinants of Technical Efficiency in Chinese Banking: A Double Bootstrap Data Envelopment Analysis Approach," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 286-307, September.
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    21. Lin, Yu-Hui & Fu, Tsu-Tan & Chen, Chia-Li & Juo, Jia-Ching, 2017. "Non-radial cost Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 256(2), pages 629-639.

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