Chinese parents' attitudes and purchase intentions of children's functional foods

Minna Rollins, Agnieszka Chwialkowska and Tiina Shen

International Journal of Export Marketing, 2023, vol. 6, issue 1, 75-97

Abstract: Introducing functional foods to new markets can be challenging. This is especially challenging when functional foods are targeted at children. This study investigates the factors influencing Chinese parents' attitudes toward functional foods and their purchasing intentions. As Chinese families are often multigenerational, we also explore the grandparents' influence on parents' decisions to buy functional foods. We draw constructs from the theory of planned behaviour and the health belief model. Survey data was collected in China from the parents of children 12 years and younger. We divided our sample into male and female samples. Our findings suggest that subjective norms and perceived benefits positively affect parents' attitudes toward functional foods, and parents' purchasing intentions are positively affected by attitudes, subjective norms, and perceived benefits. Surprisingly, grandparents play little role in influencing these decisions, even in multigenerational households. Our study bears important implications for marketers of functional foods for children in the Chinese market.

Keywords: functional foods; family decision making; consumer behaviour; attitudes; China. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=135661 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijexpo:v:6:y:2023:i:1:p:75-97

Access Statistics for this article

More articles in International Journal of Export Marketing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().