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A Study on Spatiotemporal Evolution and Influencing Factors of Chinese National Park Network Attention

Author

Listed:
  • Mingxin Chen

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

  • Dong Dong

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230022, China)

  • Fengquan Ji

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

  • Yu Tai

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

  • Nan Li

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

  • Runyu Huang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

  • Tieqiao Xiao

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230022, China
    Anhui Provincial Key Laboratory of Smart Countryside and Collaborative Governance, Hefei 230031, China)

Abstract

Due to advancements in information technology and growing eco-tourism demand, National Park Network Attention (NPNA) has emerged as a novel indicator of tourism appeal and ecological value recognition. Utilizing Baidu search index (accessed in 2023) data from 2013 to 2022, this study employs time series analysis, index analysis, and spatial statistics to measure and differentiate the spatial and temporal aspects of NPNA across 31 provinces, regions, and municipalities in mainland China, while systematically assessing the impact of various factors from both source and destination perspectives. Over the period of 2013 to 2022, NPNA has increased annually, peaking around holidays and during spring and autumn, demonstrating pronounced seasonality and precursor effects, while exhibiting volatility due to external events. Influenced by factors from both source and destination perspectives, the spatial distribution of NPNA displays a trend of being “high in the east and low in the west” and “high in the south and low in the north”, though regional disparities are diminishing. The population size in the source areas remains the dominant factor influencing NPNA, while the concept of national parks is not yet widely recognized. The destination’s tourism resource endowment, media publicity, accessibility, and level of informatization are significant influences. An effective integration of resources and marketing is essential for boosting NPNA. The findings provide valuable insights for optimizing the spatial layout of national parks, enhancing the tourism service system, innovating communication and promotional strategies, and improving national park governance effectiveness.

Suggested Citation

  • Mingxin Chen & Dong Dong & Fengquan Ji & Yu Tai & Nan Li & Runyu Huang & Tieqiao Xiao, 2024. "A Study on Spatiotemporal Evolution and Influencing Factors of Chinese National Park Network Attention," Land, MDPI, vol. 13(6), pages 1-25, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:826-:d:1411297
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    References listed on IDEAS

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    1. Zhenxing Jin & Chengxin Wang & Shangkun Yu & Shuai Zhang & Xiaoming Ding, 2022. "Spatiotemporal evolution and influencing factors of urban shrinkage in the Yellow River Basin, China," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-19, March.
    2. Bangwayo-Skeete, Prosper F. & Skeete, Ryan W., 2015. "Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach," Tourism Management, Elsevier, vol. 46(C), pages 454-464.
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