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| Title: | 疫情下的精品消費
Boutique Consumption Under the COVID-19 Epidemic |
| Authors: | 譚睿茵
Tan, Jui-Yin |
| Contributors: | 連賢明
周德宇
Lien, Hsien-Ming
Zhou, De-yu
譚睿茵
Tan, Jui-Yin |
| Keywords: | 電子發票
新冠肺炎
民間消費
精品
奢侈品產業
E-invoice
COVID-19
Consumption
Boutiques
Luxury industry |
| Date: | 2022 |
| Issue Date: | 2023-02-08 15:09:27 (UTC+8) |
| Abstract: | 全球精品市場自 2012 年以來不斷成長，然而，2020 年受到新冠肺炎疫情影響，全球精品市場衰退 23%，為過去 10 年來的首次衰退。但人們對於精品商品的消費需求依舊強勁，在美國和中國的國內支出帶動下，時尚精品產業順利度過新冠疫情危機，甚至超越疫情前的業績水準。由於精品品牌今年面臨兩大趨勢 顧客年輕化及網路電商平台崛起，精品品牌勢必轉型，使得精品業者在低迷的疫情經濟之下，銷售額仍有不差的成績。傳統上，有關我國民間消費之統計，經常採用經濟部之批發業、零售業、餐飲業調查資料數據，而調查資料之統計量是透過抽樣的方式取得，數據可能會受到抽樣廠商個別因素等影響，在資訊的涵蓋面亦可能存在代表性不足的問題。且統計處調查資料的取得，須定期透過專人以傳真、郵寄、或上網方式回報統計資料，通常有數週至數個月的落後期，若有重大事件發生時，將無法即時反應真實情況。近年來電子發票的使用越來越普及，涵蓋的資訊量及代表性均逐年提升，電子支付的推動也連帶使得該資料具有的優勢增加。利用電子發票資料，能讓研究者或政策制定者更即時觀測消費變化，政策制定者能更立即地判斷事件對於不同產業的衝擊，故電子發票資料也具有提供政府與決策者即時性的預警之發展潛力。本研究是以財政部資訊中心電子發票資料為主軸，透過電子發票數據觀察新冠肺炎疫情下的精品業消費變化。此外，由於電子發票數據庫十分龐大，在數億筆發票資料中，整理出能貼近實際消費情況的資訊，如何進行有效的分析對研究者是一大考驗。
The global boutique market declined 23% in 2020 due to the impact of the COVID-19 epidemic. However, consumer demand for boutique goods remains robust. The fashion boutique industry has weathered the outbreak and even surpassed pre-epidemic sales levels, driven by domestic expenditure in the U.S. and China. As boutique brands face two significant trends this year: a younger customer and the rise of online e-commerce platforms, boutique brands are bound to transform, enabling them to achieve decent sales in an economic slump. Traditionally, the Ministry of Economic Affairs often uses survey data from several industries to compile statistics on domestic consumption. However, the statistics of this data are obtained through sampling, causing the under-represented problem. Moreover, the Department of Statistics reports the survey data regularly by fax, mail, or online, which usually has a time lag of several weeks to several months. Thus, if a significant event occurs, it will only be able to reflect the actual situation after a certain point. Electronic invoices have become more comprehensive in recent years, allowing researchers or policymakers to observe consumption changes and determine the strategy in real time. Therefore, e-invoice data may provide real-time early warning to the government and policymakers. In this study, we focus on the e-invoice data from the Fiscal Information Agency to observe the changes in consumption in the boutique industry during the COVID-19 epidemic. In addition, This study utilizes text mining and machine learning to sort out hundreds of millions of invoice data close to the actual consumption situation. |
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| Description: | 碩士
國立政治大學
財政學系
109255028 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109255028 |
| Data Type: | thesis |
| Appears in Collections: | [財政學系] 學位論文
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