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Research on the Spatiotemporal Characteristics and Influencing Factors of Attention to China’s First National Park Network

Yan Chen (), Huaju Xue () and Ming Wei ()
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Yan Chen: Qinghai Normal University, School of Geographic Sciences
Huaju Xue: Qinghai Normal University, School of Geographic Sciences
Ming Wei: Qinghai Normal University, School of Geographic Sciences

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 850-866 from Springer

Abstract: Abstract A national park’s network attention reflects its development, interest and potential demand. This paper uses the 2017–2023 Baidu Search Index to investigate the network attention of China’s first five national parks. To achieve this, the study employs index analysis, spatial visualisation, and geo-detectors.The findings are as follows: (1) Since their creation, national parks have attracted attention. Following the establishment of the national parks, attention was highest for Sanjiangyuan, Northeast Tiger Leopard, Giant Panda, Hainan Tropical Rainforest and Wuyishan National Park. January, February and October saw the most attention. Weekdays saw the highest average daily network attention, followed by weekends and holidays. (2) Spatial characteristics: The network attention of the five national parks does not fully follow the ‘distance attenuation law’, but is consistent with the ‘economic attenuation law’ and the ‘east-central-west’ gradient. Beijing has shown a high level of attention to all five national parks. (3) The geodetector q-value shows the five national parks are influenced by holidays and economic development, with holidays being the main factor. Detection factors like transport, tourism, population, education and the ecological environment have less impact.

Keywords: National park; Baidu index; network attention; spatial and temporal characteristics; influencing factors; geographic detector (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-676-5_81

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DOI: 10.2991/978-94-6463-676-5_81

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