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DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development

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  • Hibiki, Norio
  • Sueyoshi, Toshiyuki

Abstract

This article presents a new DEA (data envelopment analysis) approach, referred to as 'DCR (DEA cross-reference) efficiency measure'. This DCR approach is extended into a new sensitivity analysis technique referred to as 'DCS (DEA cross-sensitivity)', that examines the stability of DEA efficiency by omitting an efficient DMU (decision making unit) and consequently, changing a reference set for the DMU. Applying the proposed DCR/DCS technique, this article empirically examines the regional contribution level of a local administrative unit to the entirety of Japanese industry.

Suggested Citation

  • Hibiki, Norio & Sueyoshi, Toshiyuki, 1999. "DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development," Omega, Elsevier, vol. 27(2), pages 139-153, April.
    • Handle: RePEc:eee:jomega:v:27:y:1999:i:2:p:139-153
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    3. Dimitrov Stanko, 2014. "Comparing Data Envelopment Analysis and Human Decision Making Unit Rankings: A Survey Approach," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 129-141, December.
    4. Renaud, J. & Thibault, J. & Lanouette, R. & Kiss, L.N. & Zaras, K. & Fonteix, C., 2007. "Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1418-1432, March.
    5. Sueyoshi, Toshiyuki, 1999. "DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives," Omega, Elsevier, vol. 27(3), pages 315-326, June.
    6. Woo, Chi-Keung & Horowitz, Ira & Olson, Arne & Horii, Brian & Baskette, Carmen, 2006. "Efficient frontiers for electricity procurement by an LDC with multiple purchase options," Omega, Elsevier, vol. 34(1), pages 70-80, January.
    7. Podinovski, V. V., 2004. "Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA," European Journal of Operational Research, Elsevier, vol. 154(2), pages 380-395, April.
    8. Sueyoshi, Toshiyuki & Goto, Mika, 2001. "Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993," European Journal of Operational Research, Elsevier, vol. 133(2), pages 232-259, January.
    9. Toloo, Mehdi & Mensah, Emmanuel Kwasi & Salahi, Maziar, 2022. "Robust optimization and its duality in data envelopment analysis," Omega, Elsevier, vol. 108(C).
    10. Thomas, Peter & Chan, Yupo & Lehmkuhl, Lee & Nixon, William, 2002. "Obnoxious-facility location and data-envelopment analysis: A combined distance-based formulation," European Journal of Operational Research, Elsevier, vol. 141(3), pages 495-514, September.
    11. Jahanshahloo, Gholam Reza & Junior, Helcio Vieira & Lotfi, Farhad Hosseinzadeh & Akbarian, Darush, 2007. "A new DEA ranking system based on changing the reference set," European Journal of Operational Research, Elsevier, vol. 181(1), pages 331-337, August.
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    13. Martic, Milan & Savic, Gordana, 2001. "An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development," European Journal of Operational Research, Elsevier, vol. 132(2), pages 343-356, July.

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