Journal of Northern Agriculture ›› 2022, Vol. 50 ›› Issue (1): 115-124.doi: 10.12190/j.issn.2096-1197.2022.01.16

• Agroecology environment • Previous Articles     Next Articles

Analysis on variation characteristics and impact factors of aquaculture output structure in Hunan Province

CAO Wenxian   

  1. College of Economic and Management,Xiangnan University,Chenzhou 423000,China
  • Received:2022-01-24 Online:2022-02-20 Published:2022-04-11

Abstract: 【Objective】To clarify the variation characteristics of aquaculture output structure in Hunan Province,as well as the important variables impacting output growth. Continue to encourage the transformation of fishery production mode and structure in order to achieve high-quality development.【Methods】The variation characteristics of aquaculture output structure in Hunan Province from 2006 to 2020 were analyzed using Excel 2007 and Matlab 7.0 software from the aspects of production waters and species. The correlation between aquaculture yield and impact factors in Hunan Province was studied using the grey correlation analysis method.【Results】In various production waters,ponds and paddy fields were the province′s principal source of aquaculture output. In various species,fish and crustaceans dominated were the province′s aquaculture output from 2016 to 2020. Grey correlation analysis showed that the correlation between aquaculture yield and various impact factors was high,and the correlation coefficient of various impact factors was also high in most years. Aquaculture area and fisheries employees had a greater influence than other impact factors.【Conclusion】To ensure the improvement of aquaculture output and quality in Hunan Province,comprehensive measures should be taken to expand the area and increase efficiency,prevent disaster risks,increase the proportion of well-known,unique,and high-quality aquatic products,and promote and train new aquaculture technologies.

Key words: Hunan Province, Aquaculture, Output structure, Variation characteristics, Impact factors, Grey correlation

CLC Number: 

  • F326