Exploring the Characteristics of “New Middle Class” Social Media Consumption in the Development of New Consumption in China: A Case Study of TikTok Social Media

Main Article Content

Luyao Jia
Ming Li
Thanapon Sarunburana

Abstract

This research aimed to study the influence of the digital economy and lenient financial policies on the growth of the Chinese new middle class, the impact of new consumption pressures and the deepening usage of social me dia on the consumption intentions of this group, and the factors influencing the consumption decisions of the Chinese new middle class on the "TikTok" social media platform. In this study, 21 subjects were selected, all of whom exemplified the characteristics of China's emerging middle class. The selection was conducted using purposive sampling.


The instrument for collecting data was semi-structured interviews. Data analysis was conducted using descriptive statistics and content analysis. The research results were found as follows: The platform's consumption environment significantly influences the consumption decisions of the new middle class; mutual perceptions among users play a key role in shaping their attitudes towards consumption on social media platforms; platform management systems and individual differences are also critical factors affecting their consumption behavior.

Article Details

How to Cite
Jia, L., Li, M., & Sarunburana, T. (2025). Exploring the Characteristics of “New Middle Class” Social Media Consumption in the Development of New Consumption in China: A Case Study of TikTok Social Media. Rajapark International Journal, 1(3), 73–88. retrieved from https://so20.tci-thaijo.org/index.php/RJPIJ/article/view/521
Section
Research Article

References

Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230. https://doi.org/10.1111/j.1083-6101.2007.00393.x

Chen, Y. (2022). Influencing mechanism of live broadcasting marketing pattern on consumers’ purchase decision internet background. In J. C. Hung, J.-W. Chang, Y. Pei, & W.-C. Wu (Eds.), Innovative Computing (Vol. 791, pp. 819-826). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-4258-6_100

Creevey, D., Coughlan, J., & O’Connor, C. (2022). Social media and luxury: A systematic literature review. International Journal of Management Reviews, 24(1), 99-129. https://doi.org/10.1111/ijmr.12271

CNNIC. (2023). The 52nd China Internet Development Status Statistical Report. https://www3.cnnic.cn/n4/2023/0828/c88-10829.html

CNNIC. (2024). The 53nd China Internet Development Status Statistical Report. https://www.cnnic.cn/n4/2024/0322/c88-10964.html

He, Y., & Judy, Z. (2019). Research on contemporary "new middle class": Concepts, development, and trends. Youth Exploration, 2, 68-77. http://www.cqvip.com/qk/81600x/201902/7001721294.html

Jiang, Z., Li, X., & Cao, G. (2024). Research on the causes and impact pathways of digital pressure among social media users. Journal of Agricultural Library and Information Science, 1-13. https://doi.org/10.13998/j.cnki.issn1002-1248.23-0780

Jin, M., Ning, Y., Li, B., Liu, F., Gao, C., & Gao, Y. (2021). Uncertain KOL selection with multiple constraints in advertising promotion. IEEE Access, 9, 142869-142878. https://doi.org/10.1109/ACCESS.2021.3120141

Juliang Arithmetics. (2020). 2020 New Middle Class Consumption and Media Behavior Trends Report - Arithmetics Report - Giant Arithmetics. https://trendinsight.oceanengine.com/

Kiger, M. E., & Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical Teacher, 42(8), 846-854. https://doi.org/10.1080/0142159X.2020.1755030

Kitchens, B., Johnson, S. L., & Gray, P. (2020). Understanding echo chambers and filter bubbles: The impact of social media on diversification and partisan shifts in news consumption. MIS Quarterly, 44(4). https://www.darden.virginia.edu/sites/default/files /inlinefiles/05_16371_RA_KitchensJohnsonGray%20Final_0.pdf

Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131, 183-195. https://doi.org/10.1016/j.jbusres.2021.03.061

Li, W. (2021). Research on product promotion strategies of short video platforms under the background of consumption structure upgrade: A case study of TikTok APP. Journal of Hubei University of Economics (Humanities and Social Sciences Edition), 18(9), 54-56. https://qikan.cqvip.com/Qikan/Article/Detail?id=7105485039&from=Qikan_Search_Index

Mazars. (2021). China Consumer Reports 2021: Shifts in Lifestyle Consumption – Generational, Gender and Urban analysis. https://www.forvismazars.com/cn/zh/mazarspage/download/1077762/56241020/file/2021中国消费者报告:生活方式消费的转变——代际、性别和城市分析.pdf

Molenaar, A., Saw, W. Y., Brennan, L., Reid, M., Lim, M. S., & McCaffrey, T. A. (2021). Effects of advertising: A qualitative analysis of young adults’ engagement with social media about food. Nutrients, 13(6), 1934. https://doi.org/10.3390/nu13061934

National Development and Reform Commission of China. (2023). Quality expansion and innovation to promote high-quality development of new consumption. https://www.ndrc.gov.cn/wsdwhfz/202304/t20230410_1353436.html

Niu, B., Yu, X., Li, Q., & Wang, Y. (2023). Gains and losses of key opinion leaders’ product promotion in livestream e-commerce. Omega, 117, 102846. https://doi.org/10.1016/j.omega.2022.102846

Noy, C. (2008). Sampling knowledge: The hermeneutics of snowball sampling in qualitative research. International Journal of Social Research Methodology, 11(4), 327-344. https://doi.org/10.1080/13645570701401305

Qiu, J., & Lou, W. (2012). Thematic analysis of index research papers based on content analysis. Library Work and Research, 10, 62-66. http://www.cqvip.com/qk/93618x/201210/43551514.html

Wang, X. (2015). The impact of social media on consumer purchase decisions. China Publishing, 6, 28–31. http://www.cqvip.com/qk/97201x/20156/664229436.html

Xue, L.-L., Shen, C.-C., Morrison, A. M., & Kuo, L.-W. (2021). Online tourist behavior of the net generation: An empirical analysis in Taiwan based on the AISAS model. Sustainability, 13(5), 2781. https://www.mdpi.com/2071-1050/13/5/2781