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Profit inefficiency of Japanese securities firm

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Abstract

We develop a new indicator of profit inefficiency, which is based on decision-makers choosing the amount to spend on each input and the amount to earn on each output, rather than choosing physical quantities of inputs and outputs. The method is suitable for situations when prices and quantities are not directly observable, when markets are non-competitive, or when qualitative differences exist for inputs and outputs between firms. The indicator of profit inefficiency equals normalized lost profits arising from technical inefficiency and allocative inefficiency. We offer an empirical example of our method using firms in the Japanese securities industry during the period 1989-2005. We find profit inefficiency rises from 1989 to 1993, declines during the 1994-2001 period, and then increases during the years 2002-2005. Allocative inefficiency tends to be a greater source of profit inefficiency than technical inefficiency. Lost profits as a percent of assets range from 0% to 15% and are highest in 2002-2005.

Suggested Citation

  • Hirofumi Fukuyama & William L. Weber, 2008. "Profit inefficiency of Japanese securities firm," Journal of Applied Economics, Universidad del CEMA, vol. 11, pages 281-303, November.
  • Handle: RePEc:cem:jaecon:v:11:y:2008:n:2:p:281-303
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    Cited by:

    1. Alireza Amirteimoori & Biresh K. Sahoo & Saber Mehdizadeh, 2023. "Data envelopment analysis for scale elasticity measurement in the stochastic case: with an application to Indian banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    2. Mayer, Andreas & Zelenyuk, Valentin, 2014. "Aggregation of Malmquist productivity indexes allowing for reallocation of resources," European Journal of Operational Research, Elsevier, vol. 238(3), pages 774-785.
    3. Andreas Mayer & Valentin Zelenyuk, 2018. "Aggregation of Individual Efficiency Measures and Productivity Indices," CEPA Working Papers Series WP012018, School of Economics, University of Queensland, Australia.
    4. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2023. "Estimating the degree of firms’ input market power via data envelopment analysis: Evidence from the global biotechnology and pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 305(2), pages 946-960.
    5. Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020. "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, vol. 86(C), pages 210-226.
    6. Laurens Cherchye & Bram De Rock & Veerle Hennebel, 2017. "Coordination efficiency in multi-output settings: a DEA approach," Annals of Operations Research, Springer, vol. 250(1), pages 205-233, March.
    7. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.
    8. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    9. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.
    10. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    11. 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.
    12. Yu, Ming-Miin, 2020. "Nerlovian profit inefficiency in non-fully-competitive settings: Definition and decomposition," Omega, Elsevier, vol. 90(C).
    13. Nan Zhu & Yi Liu & Ali Emrouznejad & Qiang Huang, 2017. "An allocation Malmquist index with an application in the China securities industry," Operational Research, Springer, vol. 17(2), pages 669-691, July.
    14. Zhao, Yu & Morita, Hiroshi & Maruyama, Yukihiro, 2019. "The measurement of productive performance with consideration for allocative efficiency," Omega, Elsevier, vol. 89(C), pages 21-39.

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