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A Study of the Agglomeration of China's Convention Industry: An Economic and Neo-Economic Geography Framework Approach

Author

Listed:
  • Yan Zhang

    (School of Business, East China Normal University, 500 Dong Chuan Road, Shanghai 200241, China)

  • Hailin Qu

    (School of Hotel and Restaurant Administration, Oklahoma State University, Stillwater, OK 74078, USA)

  • Yingzhi Guo

    (Department of Tourism Management, Fudan University, Shanghai 200433, China)

Abstract

Accompanying the expansion of its opening up to the outside world, China has witnessed a steady increase in the area of international and regional communication, which has led to rapid development in the convention industry. This paper investigates the factors influencing the agglomeration of China's major convention-hosting cities under the framework of economic and neo-economic geography. The results of an empirical analysis reveal that factors such as a city's political or economic importance, service industry, regional GDP per capita and information accessibility are important aspects that may have an impact on the agglomeration of China's convention industry.

Suggested Citation

  • Yan Zhang & Hailin Qu & Yingzhi Guo, 2011. "A Study of the Agglomeration of China's Convention Industry: An Economic and Neo-Economic Geography Framework Approach," Tourism Economics, , vol. 17(2), pages 305-319, April.
    • Handle: RePEc:sae:toueco:v:17:y:2011:i:2:p:305-319
    DOI: 10.5367/te.2011.0035
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    References listed on IDEAS

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    Cited by:

    1. Zhou Bo & Qu Hailin & Li Ningqiao, 2016. "Attraction agglomeration and destination appeal," Tourism Economics, , vol. 22(6), pages 1245-1260, December.
    2. Aboal, Diego & Crespi, Gustavo & Perera, Marcelo, 2020. "How effective are cluster development policies? Evidence from Uruguay," World Development Perspectives, Elsevier, vol. 18(C).
    3. Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.

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