消费者对健康食品消费的偏好:孟加拉国迈门辛格市的实证分析

Eshrat Jahan Mahfuza, Md. Fuad Hassan, Md. Shishir Ahamed
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摘要

许多非传染性疾病都是由食物和生活方式的改变引起的。然而,随着人们对个人健康的认识不断提高,全球范围内食用更健康食品的趋势也在不断增长。然而,对于顾客令人困惑的购买习惯,尤其是像孟加拉国这样的发展中国家的顾客的购买习惯,学术研究并不多。因此,本研究旨在确定人们对健康食品消费的偏好以及与消费健康食品相关的因素。研究采用目的性抽样技术,从迈门辛市选出 140 名参与者。在 2022 年 5 月至 2022 年 8 月期间,通过面对面调查和借助电子问卷通过电子邮件收集数据。采用李克特五点量表来评估消费者对健康食品的偏好。量表项目的内部一致性由 Cronbach's alpha 检验。此外,研究还采用二元逻辑回归法来确定影响消费者消费健康食品决策的因素。研究结果表明,研究地区的人们对健康食品消费持非常不赞成的态度(82.86%)。分析还显示,性别、年龄、教育程度和月收入等因素对消费决策有积极影响,而与市场的距离、职业、家庭规模和信贷则对消费决策有消极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer’s preferences for healthy food consumption: An empirical analysis from Mymensingh city in Bangladesh
Numerous non-communicable diseases are being caused by changes in food and lifestyle choices. However, the global trend of eating more healthful food is growing as people become more aware of their personal health. Nonetheless, not much scholarly work has been done on the perplexing purchasing habits of customers, especially in developing nations like Bangladesh. Hence, the purpose of this study was to determine the preference for healthy food consumption and the factors associated with consuming healthy food. The study was conducted on 140 participants selected by a purposive sampling technique from Mymensingh city. Data were collected through both face-to-face surveys and via email with the help of an e-questionnaire from May 2022 to August 2022. A five-point Likert scale was applied to assess the consumer’s preference for healthy food products. The internal consistency of the items on the scale was examined by Cronbach’s alpha. In addition, binary logistic regression was used to identify the factors that affect consumers’ decisions to consume healthy food products. The study findings provide evidence of the highly disfavored attitudes (82.86%) toward healthy food consumption among people in the study area. The analysis also reveals that factors like gender, age, education, and monthly income have a positive impact on consumption decisions, while distance from the market, occupation, family size, and credit negatively affect consumption decisions.
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