As an oceanic resort city, Sanya's economic growth is driven by tourism, fueled by its unique natural landscape. Following the pandemic, tourist arrivals have escalated annually, widening the tourism sector's footprint. Balancing tourism demand and optimizing resource allocation across various attractions poses challenges. This paper examines such objectives by exploring government strategies, scenic features, and support services. Using multi-linear models, goodness-of-fit metrics, and factor analysis, the study concludes that revitalizing rural niche attractions under supervision is vital for achieving efficient distribution of tourism resources.
Author (s) Details
Wenbo Lyu
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.
Minqi Zheng
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.
Jiajun Yin
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.
Yuxin Wang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.
Zhennan Wang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.
Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48388-89-6/CH16
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