摘要
为研究消费者对食品添加剂风险感知受哪些因素影响,基于广义虚拟经济视角,以无锡市城市消费者为问卷调查对象、灰色关联聚类和回归模型为主要工具,分析了可能因素的构成及影响机制。结果显示,认知程度、危害程度、避开难度为消费者对食品添加剂风险感知的影响因素,其中认知程度对风险感知的负效应最为显著。结合分析结果从政府、企业、消费者角度给出政策建议。
In order to study which factors influence consumers' perception of food additives from the perspective of generalized virtual economy, we take Wuxi city consumers as samples and analyze the composition of possible factors and its influence mechanism based on grey relational cluster and regression model. The results show that the degree of cognition, the degree of harm and the difficulty of avoiding were the factors that influence consumers' perception of food additives, among which the negative effect of cognitive level on risk perception was the most significant. We give some policy recommendations from the government, enterprises and consumers based on the analysis results.
作者
王育红
卢捷
左文超
WANG Yu-hong;LU Jie;ZUO Wen-chao(School of Business, Jiangnan University, Wuxi 214122, China)
出处
《广义虚拟经济研究》
2019年第2期19-24,共6页
Research on the Generalized Virtual Economy
基金
广义虚拟经济研究专项(GX2014-1023(M))
国家自然科学基金项目(71301061
71871106)
中央高校基本科研业务费专项基金(JUSRP1504ZD)
江苏省高校青蓝工程项目
江苏省教育科学"十三五"规划重大项目(A/2016/011)
江苏省六大人才高峰项目(2016-JY-011)
江苏高校哲学社会科学研究重点项目(2018SJZDI051)的资助
关键词
广义虚拟经济
食品安全
风险感知
灰色关联聚类
generalized fictitious economy
food safety
risk perception
grey correlation clustering
