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대구공항의 효율성 및 규모수익 분석

Analysis of Efficiency and Return to Scale of Daegu Airport with DEA

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초록

최근대구공항의 통합신공항으로 이전이 확정되면서, 현대구공항에 대한파악이요구된다. 공항운영 효율성을 제고하기위해서는가장 먼저효율성과관련한 적절한변수를선정하여투입대비산출의관점에서 잘 식별해야 한다. 이를 위해 본 연구는 DEA 방법론을 활용하여 대구공항을 중심으로 국내공항들에대한효율성을파악한다. DEA는다수의투입변수와다수의산출변수의비율로의사결정단위(DMU)들간 상대적인 효율성을 측정하는 비모수적 통계 방법론이다. 본연구에서는투입요소를최소화하는투입지향적(Input-oriented) CCR/BCC 모형을적용하여국내14개공항을대상으로효율성과규모수익을 분석했다. 연구결과, 대구공항의높은운영비가공항효율성을 저해하는 원인으로 분석되었다. 또한 규모 수익은 IRS로 나타나 적정 규모 유지를 통한 효율성제고방안을 수립해야하는것으로 나타났다. 본연구결과를 통해 현대구공항의실태를 파악하여, 효율성 제고 방안을 모색하고, 공항의 적절한 규모의 확장과 최적화된 운영을 도모할 수 있을 것이다

Abstract

With the relocation of Daegu Airport to a new airport, the present Daegu airport is being asked to be identified. To improve the efficiency of airport operations, appropriate variables related to efficiency should first be selected and well identified from the perspective of input-output. To attain this end, this study utilizes DEA methodology to identify the efficiency of domestic airports around Daegu Airport. DEA is a nonparametric statistical methodology that measures the relative efficiency between decision making units as a proportion of multiple inputs and multiple outputs. Efficiency and scale revenue were analyzed for 14 airports in Korea by applying an input-oriented CCR/BCC model that minimizes input elements. The study found that the high operating costs of Daegu Airport were the reasons that hampered airport efficiency. In addition, the IRS indicates that there is a need to establish measures to improve efficiency by maintaining the right size. Through the results of this study, we will be able to identify the current situation of Daegu Airport, find ways to enhance efficiency, and promote the proper scale of expansion and optimized operation of the airport.

참고문헌 (31)

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