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http://dx.doi.org/10.9799/ksfan.2022.35.6.481

A Comparative Study on Sustainable Food Consumption Behavior Depending on Food Value Consumption Type of MZ Generation  

Hyeseon, Yang (Nutrition Education Graduate School, Sookmyung Women's University)
Young il, Park (Dept. of Food & Nutrition, Soongeui Women's College)
Nami, Joo (Dept. of Food and Nutrition, Sookmyung Women's University)
Publication Information
The Korean Journal of Food And Nutrition / v.35, no.6, 2022 , pp. 481-490 More about this Journal
Abstract
The influence of the food value consumption type of MZ generation on food choice attribute and sustainable food consumption behavior was studied using structural equation modeling. A survey was conducted on April 11~17, 2022, among panels aged 20 to 39. A total of 350 valid replicates (100%) were analyzed using statistical program SPSS The validity of the measurement instrument was verified through exploratory factor analysis and confirmatory factor analysis. The data reliability was confirmed using Cronbach's alpha coefficient. The hypothesis was verified by performing path analysis through structural equation modeling using AMOS. Regarding the influence of food choice characteristics on sustainable food consumption behavior, health has a significant positive (+) effect on the selection consumption behavior of certified food and local food. Among food value consumption categories social value consumption has a significant negative (-) influence on the consumption behavior of certified food and the choice of local food. Ethical value consumption has a significant positive (+) influence on the selection consumption behavior of certified food and local food. This study is significant because it has identified sustainable food consumption behaviors that domestic consumers can adopt daily. It can use as baseline data for preparing political and institutional measures.
Keywords
food value consumption type; food selection attribute; sustainable food consumption behavior; generation MZ; AMOS;
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Times Cited By KSCI : 4  (Citation Analysis)
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