Analyzing the Price Elasticity of Demand in China’s Tourism Sector: Key Economic Drivers and Implications

Yayan Liu (), Chenzhang Wang and Yanan Li
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Yayan Liu: Wuhan Institute of Technology, School of Computer Science & Engineering Artificial Intelligence
Chenzhang Wang: Wuhan Institute of Technology, School of Computer Science & Engineering Artificial Intelligence
Yanan Li: University of Edinburgh, School of Mathematics

A chapter in Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), 2025, pp 146-154 from Springer

Abstract: Abstract In recent years, China’s tourism industry has become a key driver of economic growth and international appeal. Understanding the price elasticity of demand (PED) in this sector is essential for stakeholders, including policymakers and business owners, as it reveals how sensitive tourists are to price changes. Implementing a tourist tax, for instance, could impact visitor numbers, potentially affecting local businesses and the broader economy[1]. This essay will analyze PED for China’s tourism using SPSS, offering insights into pricing strategies and policies that could optimize demand and support sustainable growth in the industry[2].

Keywords: Price Elasticity of Demand; Economic Factors; Tourist Tax; Data Analysis (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-690-1_15

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