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On the discrepancy in the social efficiency measures between parametric and non-parametric production technology identification

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  • Ha, Hun Koo
  • Kaneko, Shinji
  • Yamamoto, Masashi
  • Yoshida, Yuichiro
  • Zhang, Anming

Abstract

In conventional social productive efficiency measurements that consider the production of undesirable outputs such as CO2, a DEA-based non-parametric method of production possibility frontier (PPF) identification coupled with the directional distance-function approach a-la Luenberger (1992) is typically employed. This paper shows that the discrepancy between parametric and non-parametric methods of PPF identification in social inefficiency measures can be non-negligibly large when the number of observations is small or the data are not well-scattered. By using the same data as Ha et al. (2011), who used non-parametric PPF identification to measure the social efficiency of Japan's inter-city transport services with lifecycle CO2 as the undesirable output, this paper demonstrates that adopting parametric PPF identification instead can result in considerably higher inefficiency measures for decision making units (DMUs) with relatively large undesirable outputs.

Suggested Citation

  • Ha, Hun Koo & Kaneko, Shinji & Yamamoto, Masashi & Yoshida, Yuichiro & Zhang, Anming, 2017. "On the discrepancy in the social efficiency measures between parametric and non-parametric production technology identification," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 9-14.
  • Handle: RePEc:eee:jaitra:v:58:y:2017:i:c:p:9-14
    DOI: 10.1016/j.jairtraman.2016.09.005
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    References listed on IDEAS

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    Cited by:

    1. Matthias Klumpp, 2018. "How to Achieve Supply Chain Sustainability Efficiently? Taming the Triple Bottom Line Split Business Cycle," Sustainability, MDPI, vol. 10(2), pages 1-23, February.

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    More about this item

    Keywords

    Social efficiency; Data envelopment analysis; Directional distance function;
    All these keywords.

    JEL classification:

    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other
    • R59 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Other
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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