Study on Influencing Factors of Willingness to Pay for Tourism Eco-Compensation in Danxiashan National Geopark

Shimin Li, Lili Chen (), Zhe Chen, Xi Deng, Jiapeng Huang and Yanni Hou
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Shimin Li: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Lili Chen: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Zhe Chen: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Xi Deng: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Jiapeng Huang: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Yanni Hou: College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China

Sustainability, 2023, vol. 15, issue 15, 1-13

Abstract: The detrimental effects of tourism on ecosystems are becoming increasingly clear as industries develop rapidly. The relationship between tourism growth and environmental preservation can be balanced through a tourism eco-compensation mechanism, which is a key institutional mechanism. The academic community has become a popular scientific topic. Developing a tourism eco-compensation mechanism can be based on knowledge of the public’s willingness to pay for it and the variables that influence it. This paper is based on the theory of planned behaviour and uses the Danxiashan National Geopark as an example. A questionnaire was used to gather data for this study. SPSS (version 26.0) was then used to analyse the data and determine how variables affect the WTP for ecotourism work. The findings demonstrate that environmental values and sensitivity are the key factors influencing the willingness to pay for tourism eco-compensation. This study concludes by offering solutions and ideas for building an eco-compensation mechanism for tourism.

Keywords: tourism eco-compensation; willingness to pay; theory of planned behaviour; Danxiashan National Geopark (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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