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The purpose of this paper is to analyze the current situation with e-commerce in China’s textile industry and new business models during the COVID-19 epidemic. The author studied the vital problems of the Chinese textile industry from the point of view of electronic commerce. In order to solve research problems, the method of qualitative content analysis was used to classify and summarize the research situation. Data sources include the latest academic papers, industry analytical reports of securities research institutions, reports of consulting companies (Boston Consulting Group, McKinsey & Company, etc.), as well as government and organization documents (ITMF, United Nations, etc.). Based on the research process, it can be concluded that during the COVID-19 period up to the middle of 2021, China’s textile industry experienced four stages, having switched from traditional e-commerce to interested e-commerce. Innovation and digital transformation seem to be necessary conditions for China’s textile industry to overcome the negative impact of the COVID-19 pandemic. Finally, the author puts forward a long-term development trends of the textile industry after the COVID-19 epidemic.

As modern economy develops, the subjects of market competition are shifting from competition among individual enterprises to production and sales chains of enterprises and other forms of sustainable network interaction. Currently, more significant competition is manifested at the level of industrial clusters. The aim of this article is to study the model of the life cycle of textile industry clusters. The author examines the main schools of the theory of the life cycle of industrial clusters and chooses the theory of five stages of the life cycle of industrial clusters proposed by T. Andersson as the theoretical basis for this article. The textile industry cluster in the Chinese province of Zhejiang, where the largest number of textile enterprises in China is concentrated, was chosen as the object of research. Using the method of identifying the location coefficient based on the public databases of the Chinese Bureau of Statistics and the Bureau of Statistics of Zhejiang Province from 2002 to 2022 to determine the textile industry clusters in Zhejiang Province, the author found that the results calculated by the method of identifying the location coefficient correspond exactly to the five-stage development model of the Andersson cluster. From 2017 to 2020, the development of industrial clusters entered the stage of transformation, and the pace of development slowed down. Facing the risk of recession, with the help of external forces such as government support for industrial policy and internal forces such as technological and market innovations, the textile industry cluster in Zhejiang Province successfully transformed and entered a new life cycle.