480
Views
10
CrossRef citations to date
0
Altmetric
Pages 260-275 | Received 10 Aug 2013, Accepted 23 Jan 2014, Published online: 29 Apr 2015
 

ABSTRACT

This paper examines the business cycle of tourism market (BCTM) in Taiwan. It begins by studying the BCTM based on a Markov regime-switching (MRS) model. The MRS model reveals strong evidence of a regime-switching BCTM with two distinct regimes: a high-growth regime (HGR) and a low-growth regime (LGR), over the period from 1st quarter of 1969 to 1st quarter of 2011. The second step is to examine the driving forces of the BCTM. Specifically, the study identifies the factors that cause the tourism market to stay in the high-growth regime (HGR). Test results show that the growth rate of gross domestic product (GDP), growth rate of exports, and inflation rate are significant drivers of the BCTM in Taiwan.

Additional information

Notes on contributors

Ming-Hsiang Chen

Ming-Hsiang Chen is Professor in Department of Finance, National Chung Cheng University, No. 168, Sec. 1, University Rd., Min-Hsiung Township, Chia-yi County 62102, Taiwan, Republic of China (E-mail: [email protected]).

Chien-Pang Lin

Chien-Pang Lin is Assistant Professor in Department of Finance, Chang Jung Christian University Tainan, No. 1, Changda Rd., Gueiren District, Tainan City 71101, Taiwan, Republic of China (E-mail: [email protected]).

Brendan T. Chen

Brendan T. Chen is Associate Professor in Department of Leisure Industry Management, National Chin-Yi University of Technology, No. 57, Sec. 2, Zhongshan Rd., Taiping District, Taichung 41170, Taiwan, Republic of China (E-mail: [email protected]).

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 309.00 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.