請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86370完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 楊豐安 | zh_TW |
| dc.contributor.advisor | Feng-An Yang | en |
| dc.contributor.author | 張雅筑 | zh_TW |
| dc.contributor.author | Ya-Chu Chang | en |
| dc.date.accessioned | 2023-03-19T23:51:50Z | - |
| dc.date.available | 2023-12-29 | - |
| dc.date.copyright | 2022-08-31 | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2002-01-01 | - |
| dc.identifier.citation | Arbulú, I., Razumova, M., Rey-Maquieira, J., & Sastre, F. (2021), “Can domestic tourism relieve the COVID-19 tourist industry crisis? The case of Spain.” Journal of Destination Marketing & Management, 20, 100568. Buckley, R. (2021), “Pandemic travel restrictions provide a test of net ecological effects of ecotourism and new research opportunities.” Journal of Travel Research, 60(7), 1612-1614. Dass, M., & McDermott, H. (2020), “Travel & tourism: Global potential impact of the coronavirus.” Tourism Economics: An Oxford Economics Company, 1(10). Dann, G. M. (1981),” Tourist motivation an appraisal.” Annals of tourism research, 8(2), 187-219. Estrada, E. (2020), “COVID-19 and SARS-CoV-2. Modeling the present, looking at the future.” Physics Reports, 869, 1-51. Xie, F.Y., & Feng-Jie, X. (2013), “Research note: A study of outliers of international tourism statistics.” Tourism Economics, 19(5), 1215-1227. Goh, C. (2012), “Exploring impact of climate on tourism demand.” Annals of Tourism Research, 39(4), 1859-1883. Hoque, A., Shikha, F. A., Hasanat, M. W., Arif, I., & Hamid, A. B. A. (2020), “The effect of Coronavirus (COVID-19) in the tourism industry in China.” Asian Journal of Multidisciplinary Studies, 3(1), 52-58. Islam, M. M., & Fatema, F. (2020). “COVID-19 and sustainable tourism.” Asian Business Review, 10(1), 53-60. Kock, F., Josiassen, A., & Assaf, A. G. (2018), “On the origin of tourist behavior.” Annals of Tourism Research, 73(C), 180-183. Leslie, E., & Wilson, R. (2020), “Sheltering in place and domestic violence: Evidence from calls for service during COVID-19.” Journal of public economics, 189, 104241. Liu, T. M. (2016), “The influence of climate change on tourism demand in Taiwan national parks.” Tourism Management Perspectives, 20, 269-275. Li, H., et al. (2017), “A Dynamic Panel Data Analysis of Climate and Tourism Demand.” Journal of Travel Research, 56(2), 158-171. Peeri, N. C., Shrestha, N., Rahman, M. S., Zaki, R., Tan, Z., Bibi, S., ... & Haque, U. (2020), “The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?.” International journal of epidemiology, 49(3), 717-726. Polyzos, S., Samitas, A., & Spyridou, A. E. (2021), “Tourism demand and the COVID-19 pandemic: An LSTM approach.” Tourism Recreation Research, 46(2), 175-187. Ruiz Estrada, M. A., Park, D., & Lee, M. (2019). “How A Massive Contagious Infectious Diseases Can Affect Tourism, International Trade, Air Transportation, and Electricity Consumption? The Case of 2019 Novel Coronavirus (2019-nCoV) in China.” (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3644471) United Nations World Tourism Organization. (2020a), “Report: Travel Restrictions 3rd, World Tourism Organization.” (https://www.unwto.org/covid-19-travel-restrictions) United Nations World Tourism Organization. (2020), “International tourist numbers could fall 60-80% in 2020.” (https://www.unwto.org/news/covid-19-international-tourist-numbers-could-fall-60-80-in-2020) United States National Park Service. (2020) (https://m.facebook.com/ YosemiteNPS/videos/906917896494660/) Volgger, M., Taplin, R., & Aebli, A. (2021), “ Recovery of domestic tourism during the COVID-19 pandemic: An experimental comparison of interventions.” Journal of Hospitality and Tourism Management, 48, 428-440. Wang, Jason C, Chung Y Ng, and Robert H Brook. (2020), “Response to COVID-19 in Taiwan. Big Data Analytics, New Technology, and Proactive Testing.” Journal of the American Medical Association, 323(14), 1341-2. Woyo, Erisher. (2021), “The sustainability of using domestic tourism as a post-COVID-19 recovery strategy in a distressed destination.” Information and communication technologies in tourism 2021. Springer, Cham, 476-489. World Health Organization (2020), ”Coronavirus disease (COVID-2019) situation reports.” (https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/) Yang, Y., Zhang, H., & Chen, X. (2020), “Coronavirus pandemic and tourism: Dynamic stochastic general equilibrium modeling of infectious disease outbreak.” Annals of tourism research, 83, 102913. Ying, T., Wang, K., Liu, X., Wen, J., & Goh, E. (2021), “Rethinking game consumption in tourism: a case of the 2019 novel coronavirus pneumonia outbreak in China.” Tourism Recreation Research, 46(2), 304-309. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86370 | - |
| dc.description.abstract | 新冠肺炎為一嚴重特殊傳染性疾病,自其於武漢爆發以來,疫情便迅速蔓延至全世界,而臺灣也深受新冠肺炎疫情影響。為防堵境外疫情,中央流行疫情指揮中心於2020年1月16日起開始實施各式邊境管制,外國旅客入境減少和國內旅遊風氣降緩使得我國旅遊業受到一系列的衝擊及挑戰,但實際影響程度仍未可知,故本研究旨在探討新冠肺炎疫情對臺灣國內旅遊業的衝擊及旅遊需求人數的變化。 本研究以雙重差分模型檢視在新冠肺炎疫情衝擊下國內旅遊需求人數的變化,並進一步以區域角度和據點類型去探究不同地區在不同疫情強度下對各地旅遊景點人數的影響和國人對室內、室外景點的偏好變化,最後則是利用事件分析法分析臺灣旅遊業的經濟復甦狀況。 研究結果顯示新冠肺炎對臺灣國內旅遊業帶來負向影響,在進一步以地區劃分後發現臺灣四大地區受新冠肺炎疫情影響最為嚴重的為北部地區和南部地區,且東部地區不受新冠肺炎疫情影響,原因可能為在疫情嚴重引起恐慌時,國人可能會更傾向至相對安全的區域觀光,而據點類型之異質性分析結果顯示,在新冠疫情爆發後,國人對據點類型的偏好的確有所改變,比起室內景點更偏好前往室外景點觀光,另外,雖然在疫情爆發前期,旅遊業立即受到險峻衝擊,但至2020年7月開始疫情已被有效控制,產業狀況亦慢慢回溫,至2020年8月旅遊產業的經濟狀況已回復至疫情前的水準。 | zh_TW |
| dc.description.abstract | The COVID-19 pandemic has caused a recent outbreak of respiratory illness that started in China, and has spread rapidly to the whole world including Taiwan. On 16 Jan 2020, in response to the COVID-19 outbreak, the CDC implemented prevention measures of COVID-19 (e.g., entry ban on travelers), and these measures have severely affected Taiwan’s tourism demand because of the reduction of inbound vicitors. Although the pandemic has been under control due to the effective public health measures, it is still unclear when and to what extent the economic activity of the tourism industry will recover. This study aims to investigate the impact of COVID-19 pandemic on Taiwan’s tourism industry, using the monthly report on tourism statistics maintained by the Taiwan Tourism Bureau. I first employed a difference-in-differences model to estimate the effect of COVID-19 on tourism industry. I also conduct a heterogeneity analysis to examine whether the tourism demand varies by regions and by different types of scenic spots. Finally, I used an event-study model to assess to what extent the economic activity of the tourism industry recovered. The results showed that the COVID-19 pandemic has adversely affected the domestic tourism demand in Taiwan, especially for the northern Taiwan and the southern Taiwan. In addition, the COVID-19 has reshaped the public’s preference for scenic spots, and I find that people prefer outdoor spots to indoor spots. Finally, the results showed that as the pandemic had been under control in August 2020, the economic activity of the tourism industry has recovered to the pre-pandemic level. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T23:51:50Z (GMT). No. of bitstreams: 1 U0001-0707202217214400.pdf: 2341392 bytes, checksum: d0fdaa9ef9cb6909c53f3bddade10de8 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 口試委員審定書 i 謝辭 ii 摘要 iii Abstract iv 目錄 vi 圖目錄 viii 表目錄 ix 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 5 第三節 研究流程 6 第二章 文獻回顧 7 第一節 文獻回顧 7 一、過去危機對旅遊業的影響 7 二、新冠肺炎對旅遊業的影響 8 第三章 資料介紹 11 第一節 研究資料背景介紹 11 一、新冠肺炎資料 11 二、國內旅遊景點人數資料 11 三、其他控制變數資料 20 第二節 資料處理過程 22 第三節 樣本選取 26 第四章 實證模型與方法 27 第一節 雙重差分模型 27 第二節 事件分析法 30 第五章 實證結果與討論 31 第一節 敘述統計 31 第二節 雙重差分模型實證結果 38 一、新冠肺炎疫情對旅遊業之影響 38 二、新冠肺炎疫情對四大地區之影響 40 三、新冠肺炎疫情對不同據點類型之影響 43 四、穩健性分析 46 第三節 事件分析法實證結果 48 第六章 結論 50 第一節 結論與建議 50 一、新冠肺炎疫情對旅遊業之影響 50 二、臺灣旅遊產業的復原狀況 50 第二節 研究限制與未來研究方向 52 一、研究限制 52 二、未來研究方向 52 參考文獻 53 附錄 55 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 事件分析法 | zh_TW |
| dc.subject | 雙重差分模型 | zh_TW |
| dc.subject | 國內旅遊需求 | zh_TW |
| dc.subject | 新冠肺炎 | zh_TW |
| dc.subject | Event Study | en |
| dc.subject | Covid-19 | en |
| dc.subject | Domestic Tourism | en |
| dc.subject | Difference-in-differences Model | en |
| dc.title | 新冠肺炎對國內旅遊需求的影響:臺灣的實證研究 | zh_TW |
| dc.title | The Impact of COVID-19 Pandemic on Domestic Tourism Demand: Empirical Evidence from Taiwan | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 110-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林巧涵;莊雅婷;蘇怡如 | zh_TW |
| dc.contributor.oralexamcommittee | Chiao-Han Lin;Ya-Ting Chuang;Yi-Ju Su | en |
| dc.subject.keyword | 新冠肺炎,國內旅遊需求,雙重差分模型,事件分析法, | zh_TW |
| dc.subject.keyword | Covid-19,Domestic Tourism,Difference-in-differences Model,Event Study, | en |
| dc.relation.page | 73 | - |
| dc.identifier.doi | 10.6342/NTU202201337 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2022-08-24 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 農業經濟學系 | - |
| dc.date.embargo-lift | 2024-08-22 | - |
| 顯示於系所單位: | 農業經濟學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-110-2.pdf | 2.29 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
