Summary: | 碩士 === 國立中央大學 === 企業管理學系碩士在職專班 === 97 === The airline transportation industry has been developing since 80’s based on the development of rapid growth in economic and tourism. The airline companies are facing strong competitions from different ways. For one thing, more and more oversea airlines provide the service in international and continental flight. What is more, the high speed rail definitely causes the huge impacts on the industry. Under such an environment, the operational performance evaluation of airlines would be absolutely important. The study was mainly proceeded by Data Envelopment Analysis (DEA) to exam the relation of efficiency between the inputs and outputs in Decision Making Units (DMUs), Tobit regression was applied to supplement the study subsequently. As per the results of study, it obviously points out the BCC efficiency is much higher than CCR efficiency, both of China Airlines and Eva Air should increase the Passenger Load Factor (PLF) as well as Cargo Load Factor (CLF) for long-term improvement of CCR efficiency. Add to this, Operational Cost and Operational Income are two dramatic factors to bring about the change of CCR efficiency by sensitivity analysis. In Malmquist Analysis, China Airlines and Eva Air have made progress in Technical and Scale Efficiency (TSE) improvement, but Far Eastern Air Transport should pay much more effort to improve it. And TransAisa Airways and Uni Air should deliberate the way to increase its Technology efficiency. Furthermore, using the exam of Tobit regression, the external variability On-time Performance (OTP) and Flight Numbers (FLT) have positive and significant effect in CCR performance, but only On-time Performance (OTP) for BCC.
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