- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
This study tracked the static efficiency and dynamic productivity changes of 14 US airlines from 2006 to 2015. Moreover, we estimated the principal economic drivers of the environmental variables to increase the US domestic airlines' efficiency using the double bootstrap regression analysis. The major aspects of this study are as follows: First, network legacy carriers have the highest efficiency, whereas low-cost carriers are lowest. Nonetheless, network legacy carriers still have room to improve scale inefficiency. Second, the fluctuations in technical change, rather than in efficiency change, tended to have greater effect on the fluctuation of Malmquist productivity index for US domestic airlines. Third, M&A between US airlines have both positive and negative effects in terms of efficiency and economies of scale. Fourth, cost environmental factors have a negative effect on US airlines' efficiency, while revenue factor is a positive effect. The results of this study may help US airline industry practitioners to understand the US domestic airline environment from an operator's perspective.
5. Discussion and conclusion
In this study, we employed the DEA and MI model to measure the efficiency and productivity change of US airlines during 2006e2015 and seek sources of inefficiency within individual US airlines to provide insights for airline operators. In addition, we adopted bootstrapped DEA to estimate the M&A effects among US airlines. Finally, we use a double bootstrap regression analysis suggested by Simar and Wilson (2007) to reveal external determinants impact on efficiency. The results presented herein suggest the following three managerial implications. First, most NLCs and ULCCs have relatively high bootstrapped VRS-DEA values compared with LCCs, as described in Fig. 2. In addition, most NLCs (except Northwest Airlines and Continental Air Lines) and ULCCs have the Malmquist Index > 1 values, while LCCs (except Northwest Airlines and Virgin America) have a low Malmquist index values