湖北农业科学 ›› 2022, Vol. 61 ›› Issue (6): 177-182.doi: 10.14088/j.cnki.issn0439-8114.2022.06.035

• 经济·管理 • 上一篇    下一篇

基于主成分分析法的农产品上行制约因素研究

王晗, 王慧   

  1. 青岛农业大学经济学院,山东 青岛 266109
  • 收稿日期:2021-07-25 出版日期:2022-03-25 发布日期:2022-04-18
  • 通讯作者: 王慧(1980-),女,山西临汾人,副教授,硕士生导师,硕士,主要从事农村电子商务、网络经济研究,(电子信箱)spring_wh@126.com。
  • 作者简介:王晗(1993-),男,山东菏泽人,在读硕士研究生,研究方向为农产品电子商务,(电话)18053060010(电子信箱)Wanghantongxue@yeah.net。
  • 基金资助:
    国家社会科学基金年度一般项目(20BGL286)

Research on the influencing factors of online sales of the agricultural products based on the principal component analysis

WANG Han, WANG Hui   

  1. School of Economics, Qingdao Agricultural University,Qingdao 266109,Shandong,China
  • Received:2021-07-25 Online:2022-03-25 Published:2022-04-18

摘要: 运用主成分分析法将影响农产品上行的12个制约因素归为4类,这4类因子按影响程度由强到弱依次为交易对象因子、交易主体因子、交易平台因子、交易环境因子。针对这些制约因素,从提升交易对象质量、强化交易主体培育、优化交易平台构建和交易环境等方面提出了一系列的解决对策,以期促进农产品上行、发展农村电子商务。

关键词: 农产品上行, 制约因素, 主成分分析法

Abstract: Using the principal component analysis, the 12 restrictive factors affecting the online sales of agricultural products were classified into 4 categories. According to the degree of influence from strong to weak, these four types of factors were trading partner factor, trading subject factor, trading platform factor and trading environment factor. In view of these restrictive factors, a series of solutions were put forward from the aspects of improving the quality of trading objects, strengthening the cultivation of trading subjects, optimizing the trading platform construction and trading environment,in order to promote online sales of agricultural products and the development of rural e-commerce.

Key words: online sales of agricultural products, influencing factors, principal component analysis

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