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Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression

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  • Wanke, Peter
  • Barros, C.P.

Abstract

This paper presents an efficiency assessment of Latin American airlines, using VDRAM-DEA (Virtual Frontier Dynamic Range Adjusted Model - Data Envelopment Analysis). In VDRAM, the reference and DMU evaluation sets are different, thus allowing higher discrimination of scoring. In this research, the VDRAM model is used first in a two-stage approach. In the second stage, Simplex Regression is adopted to handle skewed and asymmetrical efficiency scores. The results corroborate previous studies and reveal that the impact of fleet mix and public ownership cannot be overlooked in Latin American airlines, which seem to be affected by insufficient load factors and hub and spoke systems. For the same reasons, although low cost carriers are an emerging trend in the region, it was not possible to confirm their higher efficiency levels. Besides, to some extent, these findings also show the absence of a learning curve in Latin American airlines.

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  • Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
  • Handle: RePEc:eee:jaitra:v:54:y:2016:i:c:p:93-103
    DOI: 10.1016/j.jairtraman.2016.04.001
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    7. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
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