Rural Tourism Agglomeration Characteristics in Jilin Province and Their Influencing Factors

Rural tourism agglomerations are increasingly viewed as catalysts for diversified regional growth, integrated rural revitalization, and improved farmer prosperity. However, most studies focus on urban and developed regions, leaving spatial patterns and evolutionary mechanisms in underdeveloped rural areas poorly understood. This study takes Jilin Province, an economically lagging region, as an example, measuring rural tourism agglomeration using spatial analysis methods including the Gini coefficient, nearest-neighbor index, Ripley’s K function, kernel density, and buffer analysis. Results show that agglomeration is significant and strengthening over time, with clear regional variations. All types of rural tourism products exhibit an “increase followed by decrease” pattern across spatial scales, evolving from isolated “nodes” to continuous “areas”. Agglomeration is subject to triple constraints from natural, economic, and social dimensions. This study suggests that high-quality rural tourism development should leverage point–axis spillover from flagship scenic areas, promote surface expansion of characteristic villages and towns, and strengthen network connectivity through roads and talent-information channels.

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Publication Details

Journal
Sustainability
Published
2025-09-05
DOI
https://doi.org/10.3390/su17178028
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Rural Tourism Agglomeration Characteristics in Jilin Province and Their Influencing Factors

Naiyuan Jiang, Yangang Fang, Jia Yang
Sustainability
Diverse Aspects of Tourism Research
article

Rural Tourism Agglomeration Characteristics in Jilin Province and Their Influencing Factors

Naiyuan Jiang, Yangang Fang, Jia Yang
article en

Abstract

Rural tourism agglomerations are increasingly viewed as catalysts for diversified regional growth, integrated rural revitalization, and improved farmer prosperity. However, most studies focus on urban and developed regions, leaving spatial patterns and evolutionary mechanisms in underdeveloped rural areas poorly understood. This study takes Jilin Province, an economically lagging region, as an example, measuring rural tourism agglomeration using spatial analysis methods including the Gini coefficient, nearest-neighbor index, Ripley’s K function, kernel density, and buffer analysis. Results show that agglomeration is significant and strengthening over time, with clear regional variations. All types of rural tourism products exhibit an “increase followed by decrease” pattern across spatial scales, evolving from isolated “nodes” to continuous “areas”. Agglomeration is subject to triple constraints from natural, economic, and social dimensions. This study suggests that high-quality rural tourism development should leverage point–axis spillover from flagship scenic areas, promote surface expansion of characteristic villages and towns, and strengthen network connectivity through roads and talent-information channels.

SustainabilityVol. 17(17)
Northeast Normal University (CN), BaiCheng Normal University (CN)
National Natural Science Foundation of China, People's Government of Jilin Province
Openalex Percentile: Top 68%
Diverse Aspects of Tourism Research
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Rural Tourism Agglomeration Characteristics in Jilin Province and Their Influencing Factors — Naiyuan Jiang, Yangang Fang, et al. · Sustainability (2025) | TGRS Research Map | TGRS