International journal of advanced smart convergence

  • 제10권2호
  • /
  • Pages.158-167
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  • 2021
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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A Comparative Study of Fishery Industry Competitiveness in China's Coastal Provinces

  • Li, Chun-Jie (School of Economics and Management, Tianjin Agricultural University) ;
  • Kim, Hyung-Ho (Department of Air Transport and Logistics, Sehan University) ;
  • Yang, Jun-Won (Department of Air Transport and Logistics, Sehan University)
  • 투고 : 2021.05.16
  • 심사 : 2021.05.22
  • 발행 : 2021.06.30
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초록

Fishery industry is an important part of agricultural industry in coastal countries. The purpose of this study is to use the theory of industrial competitiveness for reference, use Analytic Hierarchy Process (AHP) and Delphi method to establish the evaluation index system, and analyze the fishery industry competitiveness of 11 coastal provinces in China. This study data came from China Fishery Statistical Yearbook 2020. The results show that Shandong Province is the most competitive province in fishery industry among the coastal provinces. The inter-provincial differences are great. Not only the resource endowment is the factor that affects the fishery industry competitiveness, but also the long-term profitability is too. The proportion of recreational fishery in the fishery economic output value has become one of the main indicators to measure the competitiveness of the fishery industry. The findings of this study suggest that all regions should adopt measures in accordance with local conditions, promote the integrated development of the fishery industry, enhance the added value of fishery products and enhance the competitiveness of fishery industry. The disadvantage of this study is that the fishery industry competitiveness of China's coastal provinces is only compared and analyzed. The future direction is to carry out a comparative study on the international competitiveness of fishery with other east Asian countries.

키워드

과제정보

This work was supported by Sehan University Research Fund in 2021.

참고문헌

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