Publication: Evaluating Operational Performance, Energy And Co2 Efficiency And Cost Of Pollution Of Airlines Using Network Dea Approach
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Date
2025-03
Authors
Guo, Yongli
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Abstract
The airline industry can only achieve sustainable development if it ensures economic development and controls environmental pollution. However, the airline industry faces a huge challenge to its sustainability because the demand for transportation is strong, but profitability is low and is accompanied by a sharp increase in undesirable outputs. How airlines can make more efficient use of input resources, maximise desirable outputs, reduce undesirable outputs, and operate efficiently is an urgent issue for research. This thesis addresses this research problem using data envelopment analysis (dea), which is widely used for efficiency evaluation due to its ability to handle multiple inputs and outputs without the need for a priori assumptions on the functional form. Considering the technological heterogeneity of different airlines in terms of their operational structure (whether they participate in dynamic strategic alliances or not), this thesis first constructs a union dynamic network data envelopment analysis (dndea) model under a metafrontier framework to evaluate the dynamic operational performance of 24 global airlines from 2017 to 2019. It is found that the dynamic overall meta-efficiency of the alliance group was significantly higher than that of the nonalliance group.
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Sustainable development