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Competitiveness Evaluation and Cooperation Network Analysis of Tourist Attractions from the Perspective of Co-Opetition in the Yangtze River Delta (YRD)

Author

Listed:
  • Hang Chen

    (School of Tourism Management, Shenyang Normal University, Shenyang 110034, China)

  • Cong Lu

    (School of Business, Economics Faculty, Liaoning University, Shenyang 110036, China)

  • Yuewei Wang

    (School of Business, Economics Faculty, Liaoning University, Shenyang 110036, China)

  • Lidan An

    (School of Business, Economics Faculty, Liaoning University, Shenyang 110036, China)

Abstract

Cooperation among tourist attractions has encouraged a new form of competition among tourist destinations. Regional tourism cooperation can create win–win scenarios for participating tourist destinations, such as complementary advantages and improved comprehensive competitiveness. This study constructed a competitiveness measurement model and evaluated the competitiveness of tourist attractions. The index variables were set to modify and establish the gravity models (GMs). The cooperation network was established using Ucinet 6.0 software, and the competitive value of the tourist attractions and the structure characteristics of the network were analyzed. The results indicate that the competitiveness of tourist attractions in Jiangsu Province and Zhejiang Province is strong, while that of attractions in Anhui Province and Shanghai is weak. Tourist attractions in Shanghai, Suzhou, and Hangzhou have strong gravity for cooperation. Furthermore, the density of the cooperation network is high. The core members of the network are mainly distributed in the eastern region of the YRD and play a core role in the tourism cooperation therein. The cooperation network can be divided into four subgroups at level 2 and seven subgroups at level 3. The conclusions of this study can help the government formulate more targeted regional tourism cooperation policies.

Suggested Citation

  • Hang Chen & Cong Lu & Yuewei Wang & Lidan An, 2024. "Competitiveness Evaluation and Cooperation Network Analysis of Tourist Attractions from the Perspective of Co-Opetition in the Yangtze River Delta (YRD)," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:834-:d:1321605
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    References listed on IDEAS

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    2. Enrico Bellino & Franklin Serrano, 2018. "Gravitation Of Market Prices Towards Normal Prices: Some New Results," Contributions to Political Economy, Cambridge Political Economy Society, vol. 37(1), pages 25-64.
    3. Sylvain Dejean, 2020. "The role of distance and social networks in the geography of crowdfunding: evidence from France," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 329-339, March.
    4. Yuewei Wang & Lidan An & Hang Chen & Yuyan Zhao, 2022. "Spatial Correlation and Influencing Factors of Tourism Eco-Efficiency in the Urban Agglomeration of the Yangtze River Delta Based on Social Network Analysis," Land, MDPI, vol. 11(11), pages 1-21, November.
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