Spatial Distribution Characteristics and Influencing Factors of High-Grade Tourism Resources in Henan Province, China

Henan Province is one of China’s most culturally resource-rich regions, yet the spatial organization and driving mechanisms of its high-grade tourism resources remain insufficiently understood. This study investigates the spatial distribution characteristics and influencing factors of 2396 high-grade tourism resource sites across 157 county-level units in Henan Province. An integrated analytical framework combining GIS-based spatial analysis (nearest neighbor index, kernel density estimation, and spatial autocorrelation), geographic detector methods, and a spatial error model is employed to examine the roles of natural, economic, social, and cultural factors. The results indicate that high-grade tourism resources exhibit significant spatial clustering, forming a pronounced core–periphery structure with a dual-center pattern centered on the main urban area of Zhengzhou and Dengfeng. Strong positive spatial autocorrelation is observed, characterized by contiguous hot spots in central and northwestern Henan and cold spots in the eastern plains. The spatial differentiation of high-grade tourism resources is driven by multiple interacting factors, among which topography and material cultural heritage are the primary drivers, while economic development and intangible cultural heritage act as secondary facilitators. These findings provide empirical evidence for understanding inland tourism spatial structures and offer practical insights for heritage-led, cluster-based tourism planning, aimed at promoting sustainable regional development.

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Journal
Sustainability
Published
2026-08-20
DOI
https://doi.org/10.3390/su18168554
Primary Topic
Diverse Aspects of Tourism Research
Type
article
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Spatial Distribution Characteristics and Influencing Factors of High-Grade Tourism Resources in Henan Province, China

Pengjun Zhao, Jiaru Liu, Meng Yuan, Junwei Jin et al.
Sustainability
Diverse Aspects of Tourism Research
article

Spatial Distribution Characteristics and Influencing Factors of High-Grade Tourism Resources in Henan Province, China

Pengjun Zhao, Jiaru Liu, Meng Yuan, Junwei Jin, Jing Jia
article en

Abstract

Henan Province is one of China’s most culturally resource-rich regions, yet the spatial organization and driving mechanisms of its high-grade tourism resources remain insufficiently understood. This study investigates the spatial distribution characteristics and influencing factors of 2396 high-grade tourism resource sites across 157 county-level units in Henan Province. An integrated analytical framework combining GIS-based spatial analysis (nearest neighbor index, kernel density estimation, and spatial autocorrelation), geographic detector methods, and a spatial error model is employed to examine the roles of natural, economic, social, and cultural factors. The results indicate that high-grade tourism resources exhibit significant spatial clustering, forming a pronounced core–periphery structure with a dual-center pattern centered on the main urban area of Zhengzhou and Dengfeng. Strong positive spatial autocorrelation is observed, characterized by contiguous hot spots in central and northwestern Henan and cold spots in the eastern plains. The spatial differentiation of high-grade tourism resources is driven by multiple interacting factors, among which topography and material cultural heritage are the primary drivers, while economic development and intangible cultural heritage act as secondary facilitators. These findings provide empirical evidence for understanding inland tourism spatial structures and offer practical insights for heritage-led, cluster-based tourism planning, aimed at promoting sustainable regional development.

SustainabilityVol. 18(16)
Peking University (CN), Henan Academy of Sciences (CN), College of Tourism (BG)
Decent work and economic growth
Openalex Percentile: Top 3%
Diverse Aspects of Tourism Research
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