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Analysis of U.S. Port Efficiency Using Double-Bootstrapped DEA

이중 부트스트랩 DEA 활용한 미국항만 효율성 분석

  • Lee, Yong Joo (Central Washington University, Dept. of Finance & Supply Chain Management) ;
  • Park, Hong-Gyun (Sunchon National University, Dept. of International Trade) ;
  • Lee, Kwang-Bae (Sunchon National University, Dept. of Logistics)
  • Received : 2021.08.31
  • Accepted : 2021.10.14
  • Published : 2021.09.30

Abstract

Due to increased competition in supply side to reduce operational costs, port professionals have experienced extreme pressure, which demanded academicians to develop the model for efficient port operations from the industry perspective. Among many ports in the world, U.S. ports are our primary interest to analyze in our study for its high volume of cargoes transacted in the U.S. ports. We primarily employed DEA (Data Envelopment Analysis) technique to research the productivity of U.S. ports and applied the algorithm of double bootstrapped DEA proposed by Simar & Wilson (2007) to further investigate the driving forces of the performance of U.S. port operations. The external variables employed in our study comprise onDock Rail, Channel Depth, Location, Area, Acres, ForeignCargoRatio, and TEUChange, out of which onDock Rail, Acres, ForeignCargoRatio, and TEUChange were significant. In order to evaluate the effects of methodology selection, we conducted the same analysis applying the Censored model (Tobit) and contrasted the outcomes drawn from the two different techniques. Based on the findings from this work we proposed managerial implications and concluded.

최근 제4차산업 혁명의 적용으로 물류비 절감을 위한 공급사슬 측면의 경쟁이 더욱 치열해지면서 항만전문가들은 효율적인 항만운영 비즈니스모델을 개발에 관심이 집중되어 있다. 본 연구는 세계 여러 항만 중 미국 항만 물류량이 많은 항만을 분석하여 적용 모델을 구성하고자 한다. 본 연구는 주로 미국 항만의 생산성을 연구하기 위해 DEA(Data Enclapment Analysis) 기법을 사용하였으며 미국 항만 운영의 성장 동력을 추가 조사하기 위해 Simar & Wilson(2007)이 제안한 이중 부트스트래핑 DEA 알고리즘을 적용했다. 본 연구에 사용된 외부 변수는 항만의 길이, 항만의 심도, 위치, 면적, 에이커, 외화 비율 및 TEUChange에 포함되며, 이 중 항만의 길이, 에이커, 외화 비율 및 TEUChange에 유의했다. 최적 방법론 선택의 효과를 평가하기 위해 관측 중단 모형(Tobit)을 적용하여 동일한 분석을 수행하고 서로 다른 두 기법에서 도출된 결과를 대조하였다. 본 연구에서 얻은 결과를 바탕으로 경영상의 시사점을 제안하고 결론을 도출하였다.

Keywords

Acknowledgement

This work was supported by a Research promotion program of SCNU

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