748
Views
15
CrossRef citations to date
0
Altmetric
Articles

Modeling Willingness to Pay for Coastal Tourism Resource Protection in Ko Chang Marine National Park, Thailand

&
Pages 515-540 | Published online: 29 Apr 2014
 

Abstract

The value of non-market resources is important information for the nature-based park investment and management. In this paper, we estimate visitors' willingness to pay (WTP) an entrance fee for beach resource protection of the Ko Chang Marine Park in Thailand using a standard contingent valuation method of a single-bounded (SB) and double-bounded (DB) dichotomous choice format. An on-site stratified sampling survey of 409 beach visitors was conducted at the park along the White Sand Beach shoreline. By comparing the two survey methods, the average WTP for a Thai beach visitor is about $12.01 under the SB elicitation survey and $7.27 per adult per visit under the DB elicitation method, respectively. It turns out that the foreign visitors' WTP is twice as much as that of Thai visitors' WTP. These can be translated to the lower and upper bounds of an aggregated value ranging between $10.33 million and $17.41 million per annum. The policy implications for the park management are addressed.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China Grant No. [70871014] and No. [71271040], and the Institution of High Education Doctor Subject Special Research Fund, Ministry of Education, the People's Republic of China.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 153.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.