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

Mingxin Chen, Dong Dong (), Fengquan Ji (), Yu Tai, Nan Li, Runyu Huang and Tieqiao Xiao
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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
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

Land, 2024, vol. 13, issue 6, 1-25

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.

Keywords: national parks management; network attention; Baidu Index; Prophet analysis; geographical detectors; influencing factors; tourism demand; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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