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題名 COVID-19 疫情對台灣大行業別影響之實證分析
The Impact of COVID-19 on Taiwan’s Major Industries: Empirical Analysis
作者 王祖樑
Wang, Tsu-Liang
貢獻者 黃柏鈞
Huang, Po-Chun
王祖樑
Wang, Tsu-Liang
關鍵詞 COVID-19
勞動市場
薪資
遠距辦公
Difference-in-differences
COVID-19
Labor market
Salary
Work from home
Difference-in-differences
日期 2023
上傳時間 3-Oct-2023 10:39:28 (UTC+8)
摘要 新型冠狀病毒(COVID-19)自 2019 年末爆發以來,對全球各國經濟和社會 造成深刻的影響,並直接或間接影響多個行業的勞動市場。本文使用 2017 年至 2022 年受僱員工薪資調查數據,從勞動需求方的角度量化 COVID-19 對薪資、 僱用人數、員工進退率等勞動市場指標所帶來的影響,運用差異中之差異法 (Differences-in-differences, DID)的研究方法,比較疫情期間與非疫情期間的差 異情況,以確定疫情對勞動市場的影響程度,了解不同行業在疫情衝擊下的適 應能力和市場變化,並加入性別、遠距工作能力變數,更全面分析疫情間各項 變數是否會對結果產生影響。
實證結果除了量化 2020 年至 2022 年三年疫情對各行業的影響,還發現此 影響會因性別、遠距工作能力而有所差異。
Since its outbreak in late 2019, COVID-19 has profoundly impacted economies and societies globally, directly or indirectly affecting labor markets across various industries. This paper employs data from the Employee Earnings Survey spanning from 2017 to 2022 to quantify the effects of COVID-19 on labor market indicators such as wages, employment figures, employee turnover rates, and more, from the perspective of labor demand. Using the Differences-in-Differences (DID) research methodology, we compare the differences during the pandemic period with those during non-pandemic periods, aiming to ascertain the extent of COVID-19`s influence on the labor market. By doing so, we seek to comprehend the adaptive capacities and market dynamics of different industries in response to the pandemic`s impact, while also incorporating variables such as gender and remote work capabilities to conduct a more comprehensive analysis of potential influences on the outcomes.
The empirical results not only quantify the effects of the pandemic on various industries from 2020 to 2022 but also reveal variations in impact due to gender and remote work capabilities.
參考文獻 Tzu-Ting, Yang, Chen Kong-Pin, and Yang Jui-Chung. “Demand for Transportation and Spatial Pattern of Economic Activity during the Pandemic: Evidence from Taiwan.” Journal of Public Economics 127, no. 103426 (2022): 2–8.
John Osth, Marina Toger, Umut Turk, Karima Kourtit, and Peter Nijlamp. “Leisure Mobility Changes during the COVID-19 Pandemic-An Analysis of Survey and Mobile Phone Data in Sweden.” Research in Transportation Business & Management, no. 48 (2023): 5–8.
Hung-Hao, Chang, Lee Brain, Fang-An Yang, and Yu-You Liou. “Does COVID-19 Affect Metro Use in Taipei ?” Journal of Transport Geography 91, no. 102954 (2021): 4–9.
Hung-Hao, Chang, Lee Brain, Fang-An Yang, and Yu-You Liou. “Does COVID-19 Affect Metro Use in Taipei ?” Journal of Transport Geography 91, no. 102954 (2021): 4–9.
Christopher I. Jarvis, Kevin Van Zandvoort, Amy Gimma, Kiesha Prem, Petra Klepac, G. James Rubin, W. John Edmunds and CMMID COVID-19 working group.“Quantifying the Impact of Physical Distance Measures on the Transmission of COVID-19 in the UK.” BMC Medicine 18 (2020): 1–10.
Li, Yang, Shasha Liu, Jinyan Liu, Zhixin Zhang, Xiaochun Wan, Bo Huang,
Youhai Chen, and Yi Zhang. “COVID-19:immunopathogenesis and Immunotherapeutics.” Signal Transduction and Targeted Therapy 5, no. 128 (2020): 1–3.
Eliza, Forsythe, Lisa B. Kahn, Fabian Lange, and David G. Wiczer. “Searching, Recalls, and Tightness:An Interim Report On The COVID Labor
18
Market.” National Bureau of Economic Research 1050 Massachusetts
Avenue Cambridge Working Paper, no. 28083 (2021): 27–38.
Guido Matias Cortes, and Forsythe Eliza. “The Heterogenous Labor Market
Impacts of the Covid-19 Pandemic.” Industrial and Labor Relations 76, no. 1
(2022): 30–55.
Gary Solon, Robert Barsky, and Jonathan A. Parker. “Measuring The Cyclicality
of Real Wages: How Important Is Composition Bias?” Quarterly Journal of
Economics CIX (1994): 4–15.
Jonathan I. Dingel, and Brent Neiman. “How Many Jobs Can Be Done at
Home?” Journal of Public Economics 189, no. 104235 (2020): 2–6 Dinggyun Shin. “Cyclicality of Real Wages in Korea.” The B.E. Journal of
Economic Analysis & Policy 12, no. 2 (2012): 8–14.
Jean Victor Alipour, Harald Fadinger, and Schymik Jan. “My Home Is My Castle-
The Benefits of Working from Home during a Pandemic Crisis.” Journal of
Public Economics 196, no. 104373 (2021): 3–10.
Hsin-Pei Wu, Yu-Mei Wang, Hsin Chen, and Yi-Hui Chen. “職場中男女工作平等
差異之研究.” The 1st CHINA-ASEAN International Conference (2019):
385–391.
施義芳、林曜滄、劉念平、吳文隆、周昌典、邱水碧、吳淑惠. “新冠肺炎疫情
對工程產業之衝擊與因應探討.” 土木水利 no. 47 (2020): 1–6. 陳思妤、許家瑋、陳諾、陳映廷、林詠能. “新冠肺炎疫情對台灣民眾參觀博物
館決策之影響.” 博物館與文化, no. 20 (2020): 3–37.
王怡心. “新冠肺炎疫情的衝擊與啟示.” 會計研究月刊, no. 413 (2020). 楊博然. “新冠疫情(COVID-19)對於學生使用外送平台習慣之影響.” 中山醫學
大學醫療產業科技管理學系碩士論文, 2021, 26–43.
李璟禎. “COVID-19 疫情下工作壓力與支持因素對於醫院員工留任意願之探討-
19

以某醫學中心為例.” 中國文化大學社會科學院勞動暨人力資源學系碩士 論文, 2022, 41–56.
描述 碩士
國立政治大學
經濟學系
110258023
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110258023
資料類型 thesis
dc.contributor.advisor 黃柏鈞zh_TW
dc.contributor.advisor Huang, Po-Chunen_US
dc.contributor.author (Authors) 王祖樑zh_TW
dc.contributor.author (Authors) Wang, Tsu-Liangen_US
dc.creator (作者) 王祖樑zh_TW
dc.creator (作者) Wang, Tsu-Liangen_US
dc.date (日期) 2023en_US
dc.date.accessioned 3-Oct-2023 10:39:28 (UTC+8)-
dc.date.available 3-Oct-2023 10:39:28 (UTC+8)-
dc.date.issued (上傳時間) 3-Oct-2023 10:39:28 (UTC+8)-
dc.identifier (Other Identifiers) G0110258023en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/147719-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟學系zh_TW
dc.description (描述) 110258023zh_TW
dc.description.abstract (摘要) 新型冠狀病毒(COVID-19)自 2019 年末爆發以來,對全球各國經濟和社會 造成深刻的影響,並直接或間接影響多個行業的勞動市場。本文使用 2017 年至 2022 年受僱員工薪資調查數據,從勞動需求方的角度量化 COVID-19 對薪資、 僱用人數、員工進退率等勞動市場指標所帶來的影響,運用差異中之差異法 (Differences-in-differences, DID)的研究方法,比較疫情期間與非疫情期間的差 異情況,以確定疫情對勞動市場的影響程度,了解不同行業在疫情衝擊下的適 應能力和市場變化,並加入性別、遠距工作能力變數,更全面分析疫情間各項 變數是否會對結果產生影響。
實證結果除了量化 2020 年至 2022 年三年疫情對各行業的影響,還發現此 影響會因性別、遠距工作能力而有所差異。
zh_TW
dc.description.abstract (摘要) Since its outbreak in late 2019, COVID-19 has profoundly impacted economies and societies globally, directly or indirectly affecting labor markets across various industries. This paper employs data from the Employee Earnings Survey spanning from 2017 to 2022 to quantify the effects of COVID-19 on labor market indicators such as wages, employment figures, employee turnover rates, and more, from the perspective of labor demand. Using the Differences-in-Differences (DID) research methodology, we compare the differences during the pandemic period with those during non-pandemic periods, aiming to ascertain the extent of COVID-19`s influence on the labor market. By doing so, we seek to comprehend the adaptive capacities and market dynamics of different industries in response to the pandemic`s impact, while also incorporating variables such as gender and remote work capabilities to conduct a more comprehensive analysis of potential influences on the outcomes.
The empirical results not only quantify the effects of the pandemic on various industries from 2020 to 2022 but also reveal variations in impact due to gender and remote work capabilities.
en_US
dc.description.tableofcontents 第一章 緒論 1
第二章 文獻回顧 3
第三章 資料處理 6
第四章 實證模型 9
第五章 實證結果分析 11
第六章 結論 16
參考文獻 18
zh_TW
dc.format.extent 1279204 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110258023en_US
dc.subject (關鍵詞) COVID-19zh_TW
dc.subject (關鍵詞) 勞動市場zh_TW
dc.subject (關鍵詞) 薪資zh_TW
dc.subject (關鍵詞) 遠距辦公zh_TW
dc.subject (關鍵詞) Difference-in-differenceszh_TW
dc.subject (關鍵詞) COVID-19en_US
dc.subject (關鍵詞) Labor marketen_US
dc.subject (關鍵詞) Salaryen_US
dc.subject (關鍵詞) Work from homeen_US
dc.subject (關鍵詞) Difference-in-differencesen_US
dc.title (題名) COVID-19 疫情對台灣大行業別影響之實證分析zh_TW
dc.title (題名) The Impact of COVID-19 on Taiwan’s Major Industries: Empirical Analysisen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Tzu-Ting, Yang, Chen Kong-Pin, and Yang Jui-Chung. “Demand for Transportation and Spatial Pattern of Economic Activity during the Pandemic: Evidence from Taiwan.” Journal of Public Economics 127, no. 103426 (2022): 2–8.
John Osth, Marina Toger, Umut Turk, Karima Kourtit, and Peter Nijlamp. “Leisure Mobility Changes during the COVID-19 Pandemic-An Analysis of Survey and Mobile Phone Data in Sweden.” Research in Transportation Business & Management, no. 48 (2023): 5–8.
Hung-Hao, Chang, Lee Brain, Fang-An Yang, and Yu-You Liou. “Does COVID-19 Affect Metro Use in Taipei ?” Journal of Transport Geography 91, no. 102954 (2021): 4–9.
Hung-Hao, Chang, Lee Brain, Fang-An Yang, and Yu-You Liou. “Does COVID-19 Affect Metro Use in Taipei ?” Journal of Transport Geography 91, no. 102954 (2021): 4–9.
Christopher I. Jarvis, Kevin Van Zandvoort, Amy Gimma, Kiesha Prem, Petra Klepac, G. James Rubin, W. John Edmunds and CMMID COVID-19 working group.“Quantifying the Impact of Physical Distance Measures on the Transmission of COVID-19 in the UK.” BMC Medicine 18 (2020): 1–10.
Li, Yang, Shasha Liu, Jinyan Liu, Zhixin Zhang, Xiaochun Wan, Bo Huang,
Youhai Chen, and Yi Zhang. “COVID-19:immunopathogenesis and Immunotherapeutics.” Signal Transduction and Targeted Therapy 5, no. 128 (2020): 1–3.
Eliza, Forsythe, Lisa B. Kahn, Fabian Lange, and David G. Wiczer. “Searching, Recalls, and Tightness:An Interim Report On The COVID Labor
18
Market.” National Bureau of Economic Research 1050 Massachusetts
Avenue Cambridge Working Paper, no. 28083 (2021): 27–38.
Guido Matias Cortes, and Forsythe Eliza. “The Heterogenous Labor Market
Impacts of the Covid-19 Pandemic.” Industrial and Labor Relations 76, no. 1
(2022): 30–55.
Gary Solon, Robert Barsky, and Jonathan A. Parker. “Measuring The Cyclicality
of Real Wages: How Important Is Composition Bias?” Quarterly Journal of
Economics CIX (1994): 4–15.
Jonathan I. Dingel, and Brent Neiman. “How Many Jobs Can Be Done at
Home?” Journal of Public Economics 189, no. 104235 (2020): 2–6 Dinggyun Shin. “Cyclicality of Real Wages in Korea.” The B.E. Journal of
Economic Analysis & Policy 12, no. 2 (2012): 8–14.
Jean Victor Alipour, Harald Fadinger, and Schymik Jan. “My Home Is My Castle-
The Benefits of Working from Home during a Pandemic Crisis.” Journal of
Public Economics 196, no. 104373 (2021): 3–10.
Hsin-Pei Wu, Yu-Mei Wang, Hsin Chen, and Yi-Hui Chen. “職場中男女工作平等
差異之研究.” The 1st CHINA-ASEAN International Conference (2019):
385–391.
施義芳、林曜滄、劉念平、吳文隆、周昌典、邱水碧、吳淑惠. “新冠肺炎疫情
對工程產業之衝擊與因應探討.” 土木水利 no. 47 (2020): 1–6. 陳思妤、許家瑋、陳諾、陳映廷、林詠能. “新冠肺炎疫情對台灣民眾參觀博物
館決策之影響.” 博物館與文化, no. 20 (2020): 3–37.
王怡心. “新冠肺炎疫情的衝擊與啟示.” 會計研究月刊, no. 413 (2020). 楊博然. “新冠疫情(COVID-19)對於學生使用外送平台習慣之影響.” 中山醫學
大學醫療產業科技管理學系碩士論文, 2021, 26–43.
李璟禎. “COVID-19 疫情下工作壓力與支持因素對於醫院員工留任意願之探討-
19

以某醫學中心為例.” 中國文化大學社會科學院勞動暨人力資源學系碩士 論文, 2022, 41–56.
zh_TW