IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8447-d1153324.html
   My bibliography  Save this article

Profiling Consumers: Examination of Chinese Gen Z Consumers’ Sustainable Fashion Consumption

Author

Listed:
  • Yanbo Zhang

    (Department of Textile, Apparel Design and Merchandising, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Chuanlan Liu

    (Department of Textile, Apparel Design and Merchandising, Louisiana State University, Baton Rouge, LA 70803, USA)

  • Yanru Lyu

    (Department of Digital Media Arts, School of Media and Design, Beijing Technology and Business University, Beijing 102488, China)

Abstract

The textile and apparel industry is widely recognized for its negative impact on the environment and society, and China is one of the largest fashion-consumption markets worldwide. There has been a growing awareness and effort to address these concerns in China, and Chinese Gen-Z consumers are playing a crucial role in shaping sustainable practices. This study aimed to identify and profile Gen-Z consumers with substantial engagement in sustainable fashion consumption in China. Data were collected from 292 Chinese Gen-Z adults from three major cities, Beijing, Shanghai, and Guangzhou, using a convenience sampling strategy and the snowball approach. Cluster analysis was employed, and two groups were identified: passionate eco-conscious consumers and indifferent fashion consumers. Multivariate Analysis of Variance (MANOVA) and the Crosstabs approach were utilized to examine the differences between the identified groups. The results revealed that passionate eco-conscious consumers valued classic design, high quality, and versatility, would like to pay more money for high-quality fashion clothing, and expressed their uniqueness through their fashion choices compared to indifferent fashion consumers. They actively sought sustainability knowledge and preferred supporting physical stores that sell second-hand clothing. Female Gen-Z consumers demonstrated a greater inclination towards sustainable fashion consumption in comparison to their male counterparts. A persona of Chinese Gen-Z consumers with high-level involvement in sustainable fashion consumption was created and presented for better marketing to Gen-Z consumers in China.

Suggested Citation

  • Yanbo Zhang & Chuanlan Liu & Yanru Lyu, 2023. "Profiling Consumers: Examination of Chinese Gen Z Consumers’ Sustainable Fashion Consumption," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8447-:d:1153324
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8447/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/8447/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jianfang Liang & Jingjun Li & Qinyuan Lei, 2022. "Exploring the Influence of Environmental Values on Green Consumption Behavior of Apparel: A Chain Multiple Mediation Model among Chinese Generation Z," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    2. Venkatraman, Meera P. & Price, Linda L., 1990. "Differentiating between cognitive and sensory innovativeness : Concepts, measurement, and implications," Journal of Business Research, Elsevier, vol. 20(4), pages 293-315, June.
    3. Tian, Kelly Tepper & Bearden, William O & Hunter, Gary L, 2001. "Consumer's Need for Uniqueness: Scale Development and Validation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 50-66, June.
    4. Róbert Štefko & Vladimira Steffek, 2018. "Key Issues in Slow Fashion: Current Challenges and Future Perspectives," Sustainability, MDPI, vol. 10(7), pages 1-11, July.
    5. Sojin Jung & Byoungho Jin, 2016. "Sustainable Development of Slow Fashion Businesses: Customer Value Approach," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
    6. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    7. Yao Song & Zhenzhen Qin & Zihao Qin, 2020. "Green Marketing to Gen Z Consumers in China: Examining the Mediating Factors of an Eco-Label–Informed Purchase," SAGE Open, , vol. 10(4), pages 21582440209, October.
    8. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    9. Zhao-Hong Cheng & Chun-Tuan Chang & Yu-Kang Lee, 2020. "Linking hedonic and utilitarian shopping values to consumer skepticism and green consumption: the roles of environmental involvement and locus of control," Review of Managerial Science, Springer, vol. 14(1), pages 61-85, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weronika Wojdyla & Ting Chi, 2024. "Decoding the Fashion Quotient: An Empirical Study of Key Factors Influencing U.S. Generation Z’s Purchase Intention toward Fast Fashion," Sustainability, MDPI, vol. 16(12), pages 1-16, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. O'Cass, A., 2000. "An assessment of consumers product, purchase decision, advertising and consumption involvement in fashion clothing," Journal of Economic Psychology, Elsevier, vol. 21(5), pages 545-576, October.
    2. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    3. Ahrholdt, Dennis C. & Gudergan, Siegfried P. & Ringle, Christian M., 2019. "Enhancing loyalty: When improving consumer satisfaction and delight matters," Journal of Business Research, Elsevier, vol. 94(C), pages 18-27.
    4. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    5. Raza, Ali & Wasim, Manahil & Ishaq, Muhammad Ishtiaq, 2024. "Virtual reality-based product displays to inspire consumers’ purchase intentions: An experimental study," Journal of Business Research, Elsevier, vol. 175(C).
    6. Yi, Youjae & Gong, Taeshik, 2013. "Customer value co-creation behavior: Scale development and validation," Journal of Business Research, Elsevier, vol. 66(9), pages 1279-1284.
    7. Shalom Levy & Israel Nebenzahl, 2008. "The influence of product involvement on consumers’ interactive processes in interactive television," Marketing Letters, Springer, vol. 19(1), pages 65-77, March.
    8. Khan Md Raziuddin Taufique & Chamhuri Siwar & Basri Talib & Farah Hasan Sarah & Norshamliza Chamhuri, 2014. "Synthesis of Constructs for Modeling Consumers’ Understanding and Perception of Eco-Labels," Sustainability, MDPI, vol. 6(4), pages 1-25, April.
    9. Sojin Jung & Byoungho Ellie Jin, 2022. "RETRACTED ARTICLE: Slow fashion branding: understanding what consumers value most," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 141-149, March.
    10. Martin Adam & Michael Wessel & Alexander Benlian, 2019. "Of early birds and phantoms: how sold-out discounts impact entrepreneurial success in reward-based crowdfunding," Review of Managerial Science, Springer, vol. 13(3), pages 545-560, June.
    11. Das, Manoj & Ramalingam, Mahesh, 2022. "What drives product involvement and satisfaction with OFDs amid COVID-19?," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    12. Krishnamurthy, Anup & Kumar, S. Ramesh, 2018. "Electronic word-of-mouth and the brand image: Exploring the moderating role of involvement through a consumer expectations lens," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 149-156.
    13. Kurtmollaiev, Seidali & Lervik-Olsen, Line & Andreassen, Tor W., 2022. "Competing through innovation: Let the customer judge!," Journal of Business Research, Elsevier, vol. 153(C), pages 87-101.
    14. Yi Xie & Siqing Peng & Daniel P. Hampson, 0. "Brand user imagery clarity (BUIC): conceptualization, measurement, and consequences," Journal of Brand Management, Palgrave Macmillan, vol. 0, pages 1-17.
    15. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    16. Stokburger-Sauer, Nicola E. & Teichmann, Karin, 2013. "Is luxury just a female thing? The role of gender in luxury brand consumption," Journal of Business Research, Elsevier, vol. 66(7), pages 889-896.
    17. Chebat, Jean-Charles & Charlebois, Mathieu & Gelinas-Chebat, Claire, 2001. "What makes open vs. closed conclusion advertisements more persuasive? The moderating role of prior knowledge and involvement," Journal of Business Research, Elsevier, vol. 53(2), pages 93-102, August.
    18. Chandrashekaran, R., 2001. "The implications of individual differences in reference price utilization for designing effective price communications," Journal of Business Research, Elsevier, vol. 53(2), pages 85-91, August.
    19. Candy Lim Chiu & Han-Chiang Ho, 2023. "Impact of Celebrity, Micro-Celebrity, and Virtual Influencers on Chinese Gen Z’s Purchase Intention Through Social Media," SAGE Open, , vol. 13(1), pages 21582440231, March.
    20. Stokburger-Sauer, Nicola & Ratneshwar, S. & Sen, Sankar, 2012. "Drivers of consumer–brand identification," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 406-418.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8447-:d:1153324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.