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Economic inefficiency measurement of input spending when decision-making units face different input prices

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  • H Fukuyama

    (Fukuoka University, Nanakuma, Jonan-Ku)

  • W L Weber

    (Southeast Missouri State University)

Abstract

In a recent paper, Kaoru Tone (J Opl Res Soc (2002) 2: 429–444) showed that when the Farrell measure of cost efficiency is estimated for two firms that have different input prices, a firm with higher costs can be deemed more efficient than a firm with lower costs. As an alternative approach, Tone proposed a radial cost efficiency measure that is estimated using levels of spending on each input, rather than input quantities. Thus, firms with higher costs are less efficient than firms with lower costs. In this paper, we extend Tone's approach by allowing for non-radial changes in spending. Our approach builds on earlier work by Luenberger (J Math Econ (1992) 21: 461–481) and Chambers et al (J Econ Theo (1996) 70: 407–419) who use directional distance functions to measure inefficiency. We provide an example and illustration of our approach using Japanese bank data.

Suggested Citation

  • H Fukuyama & W L Weber, 2004. "Economic inefficiency measurement of input spending when decision-making units face different input prices," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1102-1110, October.
  • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:10:d:10.1057_palgrave.jors.2601750
    DOI: 10.1057/palgrave.jors.2601750
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    3. Fare, Rolf & Grosskopf, Shawna, 1985. " Nonparametric Cost Approach to Scale Efficiency," Scandinavian Journal of Economics, Wiley Blackwell, vol. 87(4), pages 594-604.
    4. Michael Devaney & William Weber, 2002. "Small-Business Lending and Profit Efficiency in Commercial Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 225-246, December.
    5. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    6. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    7. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
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    Cited by:

    1. Stephanie McWhinnie & Kofi Otumawu-Apreku, 2013. "Evaluating Profit Efficiency of the South Australian Rock Lobster Fishery: Nerlovian and Directional Distance Function Approach," School of Economics and Public Policy Working Papers 2013-18, University of Adelaide, School of Economics and Public Policy.
    2. 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.
    3. Ayouba, Kassoum & Boussemart, Jean-Philippe & Lefer, Henri-Bertrand & Leleu, Hervé & Parvulescu, Raluca, 2019. "A measure of price advantage and its decomposition into output- and input-specific effects," European Journal of Operational Research, Elsevier, vol. 276(2), pages 688-698.
    4. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    5. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    6. Falavigna, G. & Ippoliti, R., 2021. "Reform policy to increase the judicial efficiency in Italy: The opportunity offered by EU post-Covid funds," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 923-943.
    7. Arabmaldar, Aliasghar & Sahoo, Biresh K. & Ghiyasi, Mojtaba, 2023. "A generalized robust data envelopment analysis model based on directional distance function," European Journal of Operational Research, Elsevier, vol. 311(2), pages 617-632.
    8. Blagojević, Mladenka & Ralević, Predrag & Šarac, Dragana, 2020. "An integrated approach to analysing the cost efficiency of postal networks," Utilities Policy, Elsevier, vol. 62(C).
    9. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    10. 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.
    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. Stephanie McWhinnie & Kofi Otumawu-Apreku, 2013. "Profit Efficiency of the South Australian Rock Lobster Fishery: Nerlovian and Directional Distance Function Approach," School of Economics and Public Policy Working Papers 2013-13, University of Adelaide, School of Economics and Public Policy.

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