Analysis of protection of the interests of consumer and its influencing factors in food safety common govern-ance
Objective To analyze the situation and its influencing factors of protection of the interests of consumer in common governance of food safety,and to provide some countermeasures and suggestions for promoting their participa-tion.Methods From December 2020 to March 2021,a self-filled questionnaire survey was conducted among 2621 respond-ents by using multistage stratified random sampling method.The questionnaire consisted of two parts:the basic information of the survey objects and protection behaviors of the interests of consumer in common governance of food safety.Single factor a-nalysis and multi-factor analysis was used for data analysis by statistical software SPSS 25.0.Results Among 2621 valid questionnaires,the highest score of protection behaviors of the interests of consumer in common governance of food safety was 40 points while the lowest score was 8 points,and the average score was(16.26±6.688)points.The enthusiasm of con-sumers in protection of their interests was not high.Univariate analysis showed that gender,age,marital status,education level,permanent residence,residential situation,occupation type,and per capita monthly family income had statistical differences on protection behaviors(t/F=3.85,7.94,4.78,20.04,2.79,2.06,4.38,3.48,all P＜0.05).Ac-cording to the multiple linear regression analysis results,gender(β=-0.08),age(31-40 years old,β=-0.07;41-50 years old,β=-0.09;51-60 years old,β=-0.05;＞60 years old,β=-0.10),education degree(senior high school(technical secondary school),β=0.09;university(junior college),β=0.17;master degree or above,β=0.19)and permanent residence were the main factors affecting consumer protection behaviors(P＜0.05).Conclusion In common governance of food safety,the enthusiasm of consumers to protect their interest is not high.The enthusiasm of consumers could be further improved by increasing their participation education.
Common governance of food safetyProtection behavior of interestConsumerMultiple linear re-gressionInfluencing factors
万方数据
维普
