Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan
博士 === 國立中興大學 === 應用經濟學系所 === 99 === This study tries to model tourism demand and the volatility of tourists of Sun Moon Lake by comparing the difference to stochastic trend, seasonality, and volatility between 1999~2003 and 2004~2008. The variations risks in tourism demand predict between 1999~2003...
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2011
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ndltd-TW-099NCHU54120042018-04-10T17:14:02Z http://ndltd.ncl.edu.tw/handle/nkyh9a Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan 旅遊需求的風險管理之研究:以日月潭爲例 Meng-Gu Chen 陳孟谷 博士 國立中興大學 應用經濟學系所 99 This study tries to model tourism demand and the volatility of tourists of Sun Moon Lake by comparing the difference to stochastic trend, seasonality, and volatility between 1999~2003 and 2004~2008. The variations risks in tourism demand predict between 1999~2003 and 2004~2008 with STSM. The long or short run risk persistence is illustrated by modeling the volatility tourism demand with GARCH model. Then the Value of Risk will be calculated according to the volatility from GARCH model. Finally, this study finds that if the administrator pursues a high risk development strategy, the public facilities should be sufficient at less for 100 thousand tourists each month. If the administrator pursues a low risk development strategy, the public facilities should be sufficient for 200 thousand tourists each month. Besides, it is more important for local firms to control operational cost. In February and September, the firms could charge more for increasing revenue. In other months, the firms could just accept the tourists which have made an appointment. Finally, a sustained risk management system needs to be established to keep discovering the risk. This will help to improve the sustainable tourism development planning of Sun Moon Lake. Tsorng-Chyi Hwang 黃琮琪 2011 學位論文 ; thesis 57 en_US |
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博士 === 國立中興大學 === 應用經濟學系所 === 99 === This study tries to model tourism demand and the volatility of tourists of Sun Moon Lake by comparing the difference to stochastic trend, seasonality, and volatility between 1999~2003 and 2004~2008. The variations risks in tourism demand predict between 1999~2003 and 2004~2008 with STSM. The long or short run risk persistence is illustrated by modeling the volatility tourism demand with GARCH model. Then the Value of Risk will be calculated according to the volatility from GARCH model. Finally, this study finds that if the administrator pursues a high risk development strategy, the public facilities should be sufficient at less for 100 thousand tourists each month. If the administrator pursues a low risk development strategy, the public facilities should be sufficient for 200 thousand tourists each month. Besides, it is more important for local firms to control operational cost. In February and September, the firms could charge more for increasing revenue. In other months, the firms could just accept the tourists which have made an appointment. Finally, a sustained risk management system needs to be established to keep discovering the risk. This will help to improve the sustainable tourism development planning of Sun Moon Lake.
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author2 |
Tsorng-Chyi Hwang |
author_facet |
Tsorng-Chyi Hwang Meng-Gu Chen 陳孟谷 |
author |
Meng-Gu Chen 陳孟谷 |
spellingShingle |
Meng-Gu Chen 陳孟谷 Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
author_sort |
Meng-Gu Chen |
title |
Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
title_short |
Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
title_full |
Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
title_fullStr |
Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
title_full_unstemmed |
Risk Management on Tourism Demand: Sun Moon Lake at Central Mountain in Taiwan |
title_sort |
risk management on tourism demand: sun moon lake at central mountain in taiwan |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/nkyh9a |
work_keys_str_mv |
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