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Indexed by:期刊论文

Date of Publication:2016-07-01

Journal:ASIA PACIFIC JOURNAL OF TOURISM RESEARCH

Included Journals:SSCI、SCIE、Scopus

Volume:21

Issue:7

Page Number:763-781

ISSN No.:1094-1665

Key Words:TCM; revealed preferences; consumer surplus; Poisson; negative binomial; count data models

Abstract:This paper presents recreation trip demand models from three beaches administrated by the Ko Chang National Marine Park in Thailand. In specific, we apply Poisson (POI) and negative binomial (NB) count data models to estimate consumer surplus (CS) attributed to tourism development. An onsite stratified random sample of 409 beach visitors was administrated along the shorelines of the marine park. The results show that the estimated CS of a Thai visitor is $244 per trip and $256 per trip, respectively, under POI and NB models. In contrast, the CS per trip of a foreign visitor is double that of the Thai visitor's. As all the potential beach visitors' CS counted, it suggests that the beaches along the Ko Chang's coastline are highly valuable public resources. As a result, several important policy-making comments regarding the coastal park management are addressed.