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Exploring Spatial Correlations of Tourism Ecological Security in China: A Perspective from Social Network Analysis

Author

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  • Zhaofeng Wang

    (Tourism College, Hunan Normal University, Changsha 410081, China)

  • Dongchun Huang

    (Tourism College, Hunan Normal University, Changsha 410081, China)

  • Jing Wang

    (Tourism College, Hunan Normal University, Changsha 410081, China)

Abstract

The imbalance of regional tourism ecological security (TES) is an important barrier to the sustainable development of tourism. Relying on the spatial correlation network to coordinate the regional TES is effective. Taking 31 provinces in China as examples, social network analysis (SNA) and the quadratic assignment procedure (QAP) are used to analyze the spatial network structure of TES and its influencing factors. The results show that (1) the network density and the number of network relationships increased, while the network efficiency remained at approximately 0.7, and the network hierarchy decreased from 0.376 to 0.234. (2) Jiangsu, Guangdong, Shandong, Zhejiang, and Henan were always more central than the average and dominated. Anhui, Shanghai, and Guangxi have much lower centrality degrees than the average, with little effect on other provinces. (3) The TES networks could be divided into four parts: “net spillover”, “agent”, “bidirectional spillover” and “net benefit”. (4) The differences in economic development level, tourism industry dependence, tourism load level, educational attainment, investment in environmental governance, and transportation accessibility all had a negative impact on the TES spatial network, whereas geographic proximity had a positive driving effect. In conclusion, the spatial correlation network of provincial TES in China is increasingly close, but the network structure is loose and hierarchical. The core–edge structure is obvious, and there are significant spatial autocorrelations and spatial spillover effects between provinces. The difference in regional influencing factors has a significant effect on the TES network. This paper presents a new research framework for the spatial correlation of TES and provides a Chinese solution to promote the sustainable development of tourism.

Suggested Citation

  • Zhaofeng Wang & Dongchun Huang & Jing Wang, 2023. "Exploring Spatial Correlations of Tourism Ecological Security in China: A Perspective from Social Network Analysis," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3912-:d:1076984
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    References listed on IDEAS

    as
    1. Han-Shen Chen, 2017. "Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint," IJERPH, MDPI, vol. 14(2), pages 1-11, January.
    2. Gössling, Stefan & Peeters, Paul & Ceron, Jean-Paul & Dubois, Ghislain & Patterson, Trista & Richardson, Robert B., 2005. "The eco-efficiency of tourism," Ecological Economics, Elsevier, vol. 54(4), pages 417-434, September.
    3. Wang, Zhenshuang & Xie, Wanchen & Zhang, Chengyi, 2023. "Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission," Resources Policy, Elsevier, vol. 81(C).
    4. Han, Baolong & Liu, Hongxiao & Wang, Rusong, 2015. "Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods," Ecological Modelling, Elsevier, vol. 318(C), pages 217-225.
    5. Qingfang Liu & Jinping Song & Teqi Dai & Jianhui Xu & Jianmei Li & Enru Wang, 2022. "Spatial Network Structure of China’s Provincial-Scale Tourism Eco-Efficiency: A Social Network Analysis," Energies, MDPI, vol. 15(4), pages 1-16, February.
    6. Mengting Chen & Liang Zheng & Dike Zhang & Jiangfeng Li, 2022. "Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    7. Yuewei Wang & Mengmeng Xi & Hang Chen & Cong Lu, 2022. "Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    8. Yuzhen Li & Guofang Gong & Fengtai Zhang & Lei Gao & Yuedong Xiao & Xingyu Yang & Pengzhen Yu, 2022. "Network Structure Features and Influencing Factors of Tourism Flow in Rural Areas: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    9. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
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