Enterprise AI Analysis
Frontier Evolution, Hotspot Analysis, and Trend Outlook of the Snow Tourism Industry in the Big Data Context–A Bibliometric Analysis Based on CiteSpace
This study, using CiteSpace software, analyzed 754 literature entries on China's snow and ice tourism (2015-2025). Findings reveal that despite policy-driven research growth, challenges persist: limited literature, insufficient collaboration, scarce interdisciplinary studies, and uneven regional development. Recommendations include strengthening collaborations, expanding cooperative networks, cultivating talent, establishing exchange platforms, deep exploration of frontier areas, and promoting integrated academic and industrial development for the sector's sustainable growth.
Executive Impact: Key Findings at a Glance
Our analysis reveals critical data points shaping the future of enterprise decision-making in the snow tourism sector.
754
Research Articles Analyzed
Steady Upward Trend
Publication Growth (2015-2025)
0.0028
Collaborative Network Density
Deep Analysis & Enterprise Applications
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The study conducted a visualization analysis of 754 literature entries on the snow and ice tourism industry published between 2015 and 2025, indexed in the China National Knowledge Infrastructure (CNKI) database. This forms the basis for understanding research evolution and identifying key areas.
754
Literature entries analyzed, spanning 2015-2025 from CNKI.
0.0028
Network density for author co-occurrence, indicating dispersed collaboration.
Results indicate relatively dispersed collaboration among authors and institutions in China's snow tourism industry research, suggesting a need for strengthened academic exchange and cooperation. Key institutions like Jilin Institute of Physical Education lead in publications, but overall ties are weak.
| Collaboration Aspect | Current State | Impact on Industry |
|---|---|---|
| Author Collaboration | Relatively dispersed with localized clusters. | Limits knowledge sharing and synergistic research outcomes. |
| Institutional Collaboration | Sparse networks, primarily within Northeast China. | Hindrance to interdisciplinary insights and broad development strategies. |
| Interdisciplinary Research | Scarce. | Missed opportunities for innovation from diverse fields (e.g., tech, ecology). |
Enterprise Process Flow
Policy Initiatives & Funding
→
Increased Research Activity
→
Focus on Snow Tourism, Winter Olympics, Regional Development (e.g., Northeast)
→
Emergence of "Digital Economy" & "Big Data" as Frontier Trends
Keywords analysis reveals core topics such as "snow tourism," "Heilongjiang Province," "Jilin Province," "industry integration," and "Winter Olympics." Current hotspots include winter tourism, winter sports, and regional development, with "digital economy" and "big data" identified as prominent future research directions.
Digital Economy & Big Data
Key emerging research frontiers for the snow tourism industry.
The study recommends strengthening cross-institutional and cross-industry collaboration, expanding multidimensional cooperative networks, systematically cultivating core research talent, establishing regular academic exchange platforms, focusing on in-depth exploration of frontier areas, and promoting integrated development of academic innovation and industrial practice.
| Recommendation | Enterprise Action | Expected Outcome |
|---|---|---|
| Strengthen Collaboration |
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| Cultivate Core Talent |
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| Deepen Frontier Research |
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Case Study: Lapland's "Aurora Borealis + Arctic Ecology" Model
Lapland, Finland, has successfully integrated snowmobile adventures, glass igloo accommodations, and Sami cultural experiences, embodying a symbiosis of natural ecology and cultural heritage. This model provides a blueprint for integrated development in China's snow tourism, highlighting the potential for unique, immersive experiences that blend natural resources with cultural depth.
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