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Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China

Author

Listed:
  • Hui Chen

    (School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China)

  • Tianyi Chen

    (Faculty of Health and Sports Science, Juntendo University, Inzai 2701695, Chiba, Japan)

  • Long Li

    (School of Information Technology in Education, South China Normal University, Guangzhou 510631, China)

  • Xiaoliang Chen

    (School of Geography and Remote Sensing, Guangdong Provincial Center for Urban and Migration Studies, Guangzhou University, Higher Education Mega Center, Guangzhou 510006, China)

  • Jian Huang

    (School of Geography and Remote Sensing, Guangdong Provincial Center for Urban and Migration Studies, Guangzhou University, Higher Education Mega Center, Guangzhou 510006, China)

Abstract

Inverse globalization and the spread of epidemics have affected the world economy. Promoting the convergence and resilience of the tourism industry is an important means of boosting regional economic recovery and high-quality development. Taking the nine cities in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) as cases, this study measures the state of development in each city from 2010 to 2019, and it constructs a coupled coordinated model to evaluate the integration of culture and tourism development. The entropy method and the coupling-coordination-degree model are evaluated through this empirical analysis. The results demonstrate that most cities in the GBA show an upward trend in the development and integration of the tourism industry. The development and integration of the tourism industry in Guangzhou and Shenzhen has always been in a leading position. The main factors that affect the level of tourism-industry convergence in the GBA cities include the level of economic development, the scale of government spending, the level of urbanization, and the level of technological innovation.

Suggested Citation

  • Hui Chen & Tianyi Chen & Long Li & Xiaoliang Chen & Jian Huang, 2022. "Testing Convergence of Tourism Development and Exploring Its Influencing Factors: Empirical Evidence from the Greater Bay Area in China," Sustainability, MDPI, vol. 14(11), pages 1-12, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6616-:d:826502
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    References listed on IDEAS

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    1. Zhang, Hong & Gu, Chao-lin & Gu, Lu-wen & Zhang, Yan, 2011. "The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China," Tourism Management, Elsevier, vol. 32(2), pages 443-451.
    2. Zhen Su & Joshua R. Aaron & William C. McDowell & Dan Dan Lu, 2019. "Sustainable Synergies between the Cultural and Tourism Industries: An Efficiency Evaluation Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    3. Zhangyu Shi & Dehong Xu & Lidi Xu, 2021. "Spatiotemporal characteristics and impact mechanism of high-quality development of cultural tourism in the Yangtze River Delta urban agglomeration," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
    4. Chunbo Zhou & Marios Sotiriadis, 2021. "Exploring and Evaluating the Impact of ICTs on Culture and Tourism Industries’ Convergence: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    5. Katz, Michael L, 1996. "Remarks on the Economic Implications of Convergence," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(4), pages 1079-1095.
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