links

Factors Influencing Tourism Demand to Revisit Pha Ngan Island Using Generalized Maximum Entropy

Apiwat Ayusuk, Kittawit Autchariyapanitkul

Abstract


This study aims to examine the predictive factors of a tourist's decision to revisit Pha Ngan Island in  Surat Thani Province of Thailand. A sample survey was collected from a random sample of tourists to Pha Ngan Island. The binary logistic regression model was applied. We use the method of generalized maximum entropy for estimating the model parameters. Based on the accuracy criteria of mean square error(MSE) to justify the model, the present study demonstrated that the prediction of tourism demand for revisiting Pha Ngan Island which is obtained from logistic regression by using GME method is more accurate than ML method, in the case of a small sample size. We also found that price and promotion are the factors influencing to tourism demand.

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Copyright 2017 by the Mathematical Association of Thailand.

All rights reserve. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission of the Mathematical Association of Thailand.

|ISSN 1686-0209|