디지털융복합연구 (Journal of Digital Convergence)

  • 제18권9호
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  • Pages.81-91
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  • 2020
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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광서성 및 운남성 22개 도시의 물류 효율성 평가에 관한 연구

A Study on the Evaluation of Logistics Efficiency in 22 cities of Guangxi and Yunnan

  • 주이희 (세한대학교 경영대학원) ;
  • 전준우 (성결대학교 동아시아물류학부) ;
  • 김형호 (세한대학교 항공교통물류학과)
  • Zhou, Yi Xi (Graduate School of Business, Sehan University) ;
  • Jeon, Jun-Woo (Department of East Asian Studies & Logistics, SungKyul University) ;
  • Kim, Hyung-Ho (Department of Air Transport and Logistics, Sehan University)
  • 투고 : 2020.06.15
  • 심사 : 2020.09.20
  • 발행 : 2020.09.28
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초록

물류산업은 국민경제와 사회의 발전을 지원하는 기간산업이다. 본 논문은 중국 광시성 및 윈난성 22개 도시의 물류 효율을 평가하고, 문제점과 제약사항을 파악하여 광시성 및 윈난성 산업구조의 변혁과 고도화를 촉진하기 위한 정책제안을 제시하는 것을 목적으로 한다. 본 논문에서는 5개의 투입지표와 4개의 산출지표를 선정하고 2016년부터 2018년까지의 데이터를 DEA 방법을 통해 분석하였다. 분석결과 광시성과 윈난성의 물류 효율은 전반적으로 나쁘지 않지만 지역 간 발전이 균형이 맞지 않고 물류 효율의 수준도 상당히 다르다는 것을 알 수 있었으며, 각 도시별 물류자원의 투입-산출 구조가 불합리해 규모의 수준을 더욱 개선할 필요가 있는 것으로 파악되었다. 본 연구의 한계는 과거 3년간의 데이터만을 분석하여 분석결과를 일반화하기 어렵다는 것이다. 향후 분석기간을 장기간으로 확대하여 종적 및 횡적 분석을 종합적으로 시행할 필요가 있다.

The logistics industry is a basic and strategic industry that supports the development of national economy and society. The purpose of this paper is to evaluate the logistics efficiency of 22 cities in Guangxi and Yunnan provinces in China, and to grasp the problems and constraints and present policy proposals to promote the transformation and upgrading of the industrial structure in Guangxi and Yunnan provinces. In this paper, five input indexes and four output indexes were selected and the data from 2016 to 2018 were analyzed through DEA method. According to the analysis, the logistics efficiency of Guangxi and Yunnan provinces is not bad overall, but the development of each region is not balanced and the level of logistics efficiency is quite different. And it is found that each city needs to further improve the level of scale because the input and production structure of logistics resources is unreasonable. The limitation of this study is that it is difficult to generalize the analysis results because only the data over the past three years have been analyzed. It is necessary to comprehensively implement longitudinal and transverse analyses by extending the future analysis period over a long period of time.

키워드

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