Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model

碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 101 === Since July, 2008, the new tourism’s policy permitted mainland tourists to sightsee in Taiwan. This innovative policy not only changed the Taiwan tourism industry type, but also throve the whole industry development. In 2011, the mainland tourists were over...

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Main Authors: Kuan-YingHo, 何冠穎
Other Authors: Bor-Wen Kreng
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/87279429989490062690
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spelling ndltd-TW-101NCKU50410102016-03-18T04:41:50Z http://ndltd.ncl.edu.tw/handle/87279429989490062690 Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model 運用動態擴散模型建立觀光需求預測模式─以陸客來台為例 Kuan-YingHo 何冠穎 碩士 國立成功大學 工業與資訊管理學系碩博士班 101 Since July, 2008, the new tourism’s policy permitted mainland tourists to sightsee in Taiwan. This innovative policy not only changed the Taiwan tourism industry type, but also throve the whole industry development. In 2011, the mainland tourists were over 178 million and brought 6.85 billion US dollars till July, 2012. However, some travel quality declined problems were discussed on this issue, and, it can be seen that mainland tourists play an important role in tourism market in Taiwan. The development and planning of all industry depend on their demand. Therefore, this study is based on dynamic diffusion model, and combines economic factors with policy variables to forecast the number of mainland tourists. Moreover, we consider the issue about recreational carrying capacity in Taiwan to provide suggestions for the government and tourism-related industry. The results show the market of mainland tourists is fluctuated by word-of-mouth information diffusion and has obvious seasonal fluctuation. The market potential is affected with the relative price and does not cause a significant variation by policy variables. Besides, in the carrying capacity part, all capacities of the four aspects are abundance for hotel, travel agency, tour guide, and tourist coach. In the future, the development of tourism market will be restricted by the limitation of tourist number policy and the government will need to positively solve the question of same tourist group. Bor-Wen Kreng 耿伯文 2013 學位論文 ; thesis 70 zh-TW
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description 碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 101 === Since July, 2008, the new tourism’s policy permitted mainland tourists to sightsee in Taiwan. This innovative policy not only changed the Taiwan tourism industry type, but also throve the whole industry development. In 2011, the mainland tourists were over 178 million and brought 6.85 billion US dollars till July, 2012. However, some travel quality declined problems were discussed on this issue, and, it can be seen that mainland tourists play an important role in tourism market in Taiwan. The development and planning of all industry depend on their demand. Therefore, this study is based on dynamic diffusion model, and combines economic factors with policy variables to forecast the number of mainland tourists. Moreover, we consider the issue about recreational carrying capacity in Taiwan to provide suggestions for the government and tourism-related industry. The results show the market of mainland tourists is fluctuated by word-of-mouth information diffusion and has obvious seasonal fluctuation. The market potential is affected with the relative price and does not cause a significant variation by policy variables. Besides, in the carrying capacity part, all capacities of the four aspects are abundance for hotel, travel agency, tour guide, and tourist coach. In the future, the development of tourism market will be restricted by the limitation of tourist number policy and the government will need to positively solve the question of same tourist group.
author2 Bor-Wen Kreng
author_facet Bor-Wen Kreng
Kuan-YingHo
何冠穎
author Kuan-YingHo
何冠穎
spellingShingle Kuan-YingHo
何冠穎
Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
author_sort Kuan-YingHo
title Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
title_short Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
title_full Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
title_fullStr Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
title_full_unstemmed Tourism Demand Forecasting for Taiwan:Using Dynamic Diffusion Model
title_sort tourism demand forecasting for taiwan:using dynamic diffusion model
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/87279429989490062690
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