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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/116113


    Title: 線上旅遊資訊對於台灣旅遊景點及旅客的影響
    How the Travel Information from Internet Affects Resorts and Visitors in Taiwan
    Authors: 李羽嵐
    Lee, Yu Lan
    Contributors: 李浩仲
    李浩仲
    李羽嵐
    Lee, Yu Lan
    Keywords: 線上資訊
    台灣旅遊
    燈光資料
    Google搜尋趨勢
    固定效果模型
    Date: 2017
    Issue Date: 2018-03-02 11:55:42 (UTC+8)
    Abstract: 網路盛行下，取得資訊的成本大幅降低，人們在旅遊決策前會先使用網路查詢相關的資訊，本研究目的在於探討線上的旅遊景點資訊搜尋對於景點以及對於到訪該景點之旅客有什麼樣的影響，利用景點的Google搜尋熱度、景點的燈光資料及景點旅客人數的資料，使用固定效果模型分析，證實景點的線上的旅遊景點資訊會使其景點變得熱鬧，尤其會影響到秘境、高學歷旅客及年輕人喜歡前往的景點。 另外本研究也發現，線上搜尋會使得旅客想要找旅伴一同出遊，且會使去其景點的遊客平均年齡降低，以及使遊客去其景點採取自由行的比例上升，讓旅客的旅遊模式變得多元化。
    With the borderless online communication becoming more widespread, obtaining information has significantly become faster and easier. Nowadays, people will do the research from the internet to gain the tourists information in advance. The purpose of this study is to explore how the online search of tourist attractions affects the attractions visitors. This study uses the Google trends, Nighttime Lights on Taiwan attractions and the number of tourist attractions from 2004 to 2013. This study used the fixed effects model to confirm that the online search of tourist attraction will make that attraction become more popular.
    Reference: 池文海，李其容，黃雅琪 (2007)。影響消費者線上搜尋前因之研究。Electronic Commerce Studies； 5卷4期，395 – 418
    Cristina Jo¨nsson, Dwayne Devonish, (2010). Does Nationality, Gender, and Age Affect Travel Motivation? a Case of Visitors to The Caribbean Island of Barbados. Journal of Travel & Tourism Marketing, 25(3-4), 398-408.
    Dimitrios Buhalisa and Rob Lawb, (2008) Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management, 29 (4) , 609-623.
    Donaldson Dave and Adam Storeygard, (2016). The View from Above: Applications of Satellite Data in Economics. Journal of Economic Perspective, 30, 171-198.
    Hyunyoung Choi and Hal Varian, (2012). Predicting the Present with Google Trends. The Economic Record, 88, 2-9.
    J. Vernon Henderson, Adam Storeygard, David N. Weil, (2011). A Bright Idea for Measuring Economic Growth. Am. Econ. Rev 2011, 101, 194-199.
    Metin Kozak, (2002). Comparative analysis of tourist motivations by nationality and destinations. Tourism Management, 23 (3), 221-232.
    Metin Kozak, Nilgun Avci, Nurten Cifter, Luisa Andreu, (2004). Market Segmentation by Motivations to Travel, British Tourists Visiting Turkey." Journal of Travel & Tourism Marketing, 19 (1), 1-14.
    Yong Suk Lee, (2016). International Isolation and Regional Inequality:Evidence from Sanctions on North Korea. From https://web.stanford.edu/~yongslee/NKsanctions_100516.pdf.
    Sangkon Park, Jungmin Lee and Wonho Song, (2016), Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data. J Travel Tour Mark. doi:10.1080/10548408.2016.1170651.
    Description: 碩士
    國立政治大學
    經濟學系
    104258014
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104258014
    Data Type: thesis
    Appears in Collections:[Department of Economics] Theses

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