Paper
30 November 2022 Competitiveness analysis of forest resources tourism in Henan Province based on factor analysis
Author Affiliations +
Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124562C (2022) https://doi.org/10.1117/12.2659616
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China
Abstract
In the contemporary society, forest tourism is one of the most essential types of tourism, which is in line with modern people's pursuit of green health and a fresh natural lifestyle. Forest tourism can bring great economic benefits. With the aim to promote the sustainable development of forest tourism in Henan Province, this paper uses factor analysis method to classify the selected 9 indicators into 3 common factors and evaluates the competitive advantages and disadvantages of Henan Province through the common factor score and comprehensive score, based on the actual situation of forest tourism resources in 31 provinces. The study found that Henan Province currently ranks 18th in the tourism economic competitiveness of forest parks; ranks 14th in tourism management; ranked 31st in the competitiveness of investment in forest parks; ranks 19th in terms of comprehensive competition.
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Yihang Sun, Yanmin Liu, and Yiwei Wang "Competitiveness analysis of forest resources tourism in Henan Province based on factor analysis", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124562C (30 November 2022); https://doi.org/10.1117/12.2659616
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KEYWORDS
Factor analysis

Industry

Forestry

C2I

Analytical research

Sun

Principal component analysis

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