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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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Energy Consumption and Exercise Effect of University Students During Automatic Stepper Exercise

식품보건융합연구 / The Korean Journal of Food & Health Convergence (KJFHC), (E)2586-7342
2022, v.8 no.3, pp.1-9
https://doi.org/https://doi.org/10.13106/kjfhc.2022.vol8.no3.1
LIU, Shuchang (School of Business Administration, Henan Finance University)
WU, Renhong (College of Economics, Guangdong Ocean University)
LI, Xinlong (School of Business Administration, Henan Finance University)

Abstract

Purpose-Meat plays an important role in the Chinese daily diet, however, due to the spread of COVID-19, food supply and safety have become a major concern. The safety and health features of chilled fresh meat have attracted the attention of consumers. To study consumers' purchasing behavior and willingness to pay for chilled meat under the influence of the epidemic. Research methodology- The data were obtained by questionnaire survey, major issues include consumers' meat consumption habits in the wake of the COVID-19 and their awareness of meat product quality labels. In addition, the gender, age, family income, and other basic personal information of the interviewees were also counted. Based on the binary Logit regression method, we study consumers' purchasing behavior and willingness to pay for chilled meat under different demographic characteristics. Results-The results showed that brand and quality certification are important factors influencing purchases. In addition, the presence of children under the age of 12 in the household and the level of income and education also influence consumers' purchase intention of the chilled fresh meat. However, mart promotions and city ratings can significantly lower consumers' propensity to buy the chilled fresh meat. Apart from this, such factors as gender, age, and living conditions have no significant influence on consumers' purchase of chilled fresh meat.

keywords
Chilled fresh meat, The binary Logit regression method, Consumer purchasing behavior

식품보건융합연구