Earticle

초록

영어

The purpose of this study is to measure the productivity of fisheries in China's coastal areas (including inland and marine fisheries) and to analyze the factors influencing the development of fishery economy in each province by comparing regional differences. The input indicators used for efficiency analysis are fish farms, ships and staff numbers, and the output indicators are fish catch and net income. In this paper, we used six years of data from 2013-2018 and DEA-Malmquist index was used to analyze the efficiency of coastal fisheries production in 11 areas of China's coast. According to the analysis from 2013 to 2018, the fishery output efficiency in China's coastal areas has improved to some extent, but most provinces and regions are characterized by technological progress, and the technological efficiency still needs to be further improved. The conclusion can provide reference for the development planning and policy measures of regional fishery industry in China's coastal areas.

목차

Abstract
1. Introduction
2. Literature Review
3. Analytical Methods
3.1 DEA Model
3.2 Malmquist Index Method
3.3 Selection of Indicators
3.4 Data Sources and Research Objects
4. Empirical Analysis
4.1 Result of DEA Model
4.2 Result of Malmquist Analysis
5. Conclusions
References

키워드

저자

• Chun-Jie Li [ Prof., School of Economics and Management, Tianjin Agricultural University, China ]
• Jun-Woo Jeon [ Prof., Dept. of East Asian Studies & Logistics, SungKyul University, Korea ]
• Hyung-Ho Kim [ Prof., Dept. of Air Transport and Logistics, Sehan University, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380