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Using DEA Method to Measure and Evaluate Tourism Efficiency of Guangdong, Guangxi and Hainan Provinces in the South of China - A case of the Beibu Gulf Urban Agglomeration-

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 10 Number 1 (2021.03)바로가기
  • 페이지
    pp.24-37
  • 저자
    Xiao-Chuan Wang, Hyung-Ho Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A393424

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원문정보

초록

영어
China's "One Belt and One Road" initiative has brought multiple opportunities to the development of tourism in Guangdong, Guangxi and Hainan provinces and the implementation of the Beibu Gulf Urban Agglomeration Development Plan has set clear goals for further accelerating the coordinated development, in-depth cooperation of the three. This study takes the Beibu Gulf Urban Agglomeration as the research object and utilized the data envelopment analysis (DEA) procedure to estimate the technical efficiency, pure technical efficiency, and scale efficiency scores for each city and Malmquist index was subsequently used to analyze dynamically, then tries to offer an adequate inclusion of sustainable factors in overall tourism development efficiency results through the detection and estimation of potential sources of efficiency. In order to complete the task, data collection was focused on Guangdong, Guangxi and Hainan provinces of China over the period from 2016 to 2018. The results in the first phase show relatively high efficiency scores, particularly in the case of the Beibu Gulf Urban Agglomeration and with room for improvement in the case of other cities of Guangdong, Guangxi and Hainan provinces. The second stage results present several aspects that should be carefully considered in order to analysis tourism efficiency of the Beibu Gulf Urban Agglomerations vertically according to the changes of the frontier.

목차

Abstract
1. Introduction
2. Literature review
3. Materials and Methods
3.1. Research Methodology
3.2 Variable selection and data source
4. Research Results
4.1 Data Envelopment Analysis Results
4.2 DEA-Malmquist analysis results
5. Conclusion
References

저자

  • Xiao-Chuan Wang [ Doctoral Student, Graduate School of Business Management, Sehan University, Korea ]
  • Hyung-Ho Kim [ Professor, Department of Air Transport and Logistics, Sehan University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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