PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (7): 1098-1112.doi: 10.18306/dlkxjz.2021.07.003

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Spatial differentiation and influencing factors of fan economy in China: Taking TikTok livestreaming commerce host as an example

PENG Jue1,2(), HE Jinliao1,3,*()   

  1. 1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
    2. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
    3. The Institute of Urban Development, East China Normal University, Shanghai 200062, China
  • Received:2021-02-09 Revised:2021-06-12 Online:2021-07-28 Published:2021-09-28
  • Contact: HE Jinliao;
  • Supported by:
    National Natural Science Foundation of China(41701180)


Fan economy is a rapidly emerging business in the Internet era. However, the existing literature lacks research on fan economy from a geographical perspective. Based on the theory of network space, and taking TikTok livestreaming commerce host as an example, combined with the influencing factors of e-commerce and urban amenity theory, this study constructed an index system of influencing factors affecting the spatial distribution of Chinese livestreaming commerce host. Using location quotient, global Moran's I, and cold-hot spot spatial analysis methods, we analyzed the spatial agglomeration characteristics of Chinese livestreaming commerce host, and the geographic factors that affect livestreaming commerce host distribution through spatial regression. The results indicate that: 1) China's fan economy shows a significant spatial agglomeration, and it is highly concentrated in the eastern coastal areas, with Guangzhou and Hangzhou as the most prominent. 2) The digital economy represented by livestreaming is reshaping China's original city tier systems. Cities with entertainment media, e-commerce, and characteristic tourism (such as Changsha, Jinhua, and Lijiang), are very attractive to livestreaming commerce hosts, even more than some first-tier cities (such as Beijing and Shanghai). 3) Through spatial regression analysis, it is found that the environment for e-commerce startups and cultural tourism have a strong explanatory power for the spatial distribution of livestreaming commerce hosts. The convenience of living and the natural environment also have an important impact, and the impact of human capital is small. At the same time, the number of patents has a significant crowding out effect on livestreaming commerce hosts, and livestreaming commerce has a strong grassroots nature. This research provides detailed empirical cases for in-depth understanding of the spatial process of fan economy and its influence mechanism and provides a reference for local governments to promote the development of digital economy and formulate talent introduction policies.

Key words: network space, e-commerce, fan economy, urban amenities, livestreaming commerce host, spatial lag model