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Analysis on spatial structure characteristics and influencing factors of Beijing-Tianjin-Hebei Region MICE cities

Author

Listed:
  • Shifeng Wu
  • Yu Hong
  • Yinuo Jia
  • Jiangyun Wang
  • Xin Xu

Abstract

Industrial upgrading and transfer is one of the three key areas in the coordinated development of Beijing-Tianjin-Hebei Region. Meetings, incentives, conferences and exhibitions (MICE) are important means of promoting industrial upgrading. Urban MICE industry, as an important carrier of event activities, become an important gripper for coordinated development of Beijing-Tianjin-Hebei Region. City exhibition space structure plays an dominant role in regional economic development, and it will greatly promote smooth implementation of the coordinated development strategy of Beijing-Tianjin-Hebei Region. In this paper, 13 prefecture-level cities in Beijing, Tianjin and Hebei were selected as research objects, and the data from 2012 to 2018 were selected to establish a gravity model of the attractiveness of MICE cities. With the help of UCINET software, the network density, centrality, cohesive subgroup and core-edge of nodes researches were obtained to analyze the spatial structure characteristics of the attractiveness of MICE cities in Beijing-Tianjin-Hebei Region. The influencing factors of the spatial characteristics of MICE city attractiveness are analyzed by using geographically weighted regression model. The results show that: (1) Beijing, as the overall core area, act as a prominent role. Beijing strengthens the attraction to the superior resources of the surrounding areas, but the network of MICE cities tends to be unbalanced. (2) Overall space forms a subgroup from a single independent subgroup to a subgroup that is spatially separated from each other and acts as an intermediary channel to connect each other, and the core region decreases from 3 to 2. Langfang was removed from the list, leaving Beijing and Tianjin as the core. (3) The influence of supporting facilities, urban environment and population factors on the MICE city attractiveness of Beijing-Tianjin-Hebei Region is increasing gradually. The influence of tourism development level on the MICE city attractiveness of Beijing-Tianjin-Hebei Region is decreasing gradually. The influence of economic development level and Internet development level on the MICE city attractiveness of Beijing-Tianjin-Hebei Region remains unchanged.

Suggested Citation

  • Shifeng Wu & Yu Hong & Yinuo Jia & Jiangyun Wang & Xin Xu, 2023. "Analysis on spatial structure characteristics and influencing factors of Beijing-Tianjin-Hebei Region MICE cities," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-19, July.
    • Handle: RePEc:plo:pone00:0287695
    DOI: 10.1371/journal.pone.0287695
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    References listed on IDEAS

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    1. Alex Anas & Richard Arnott & Kenneth A. Small, 1998. "Urban Spatial Structure," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1426-1464, September.
    2. Kati Volgmann & Karsten Rusche, 2020. "The Geography of Borrowing Size: Exploring Spatial Distributions for German Urban Regions," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(1), pages 60-79, February.
    3. Runde Gu & Chunfa Li & Dongdong Li & Yangyang Yang & Shan Gu, 2022. "The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    4. Ting Li & Qianqian Ye & Qiuxin Chen, 2022. "Research on the transformation from international exhibition to “cloud” exhibition in the post COVID-19 era: A case study of China International Fair for Investment & Trade," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
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