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題名 疫情下的非典型就業
Atypical Employment Under the Epidemic作者 陳忠新
Chen, Zhong-Xin貢獻者 連賢明
Lien, Hsien-Ming
陳忠新
Chen, Zhong-Xin關鍵詞 非典型就業
平台經濟
外送平台
新冠疫情
Atypical Employment
Platform Economy
Delivery Platform
COVID-19 pandemic日期 2023 上傳時間 2-Aug-2023 13:58:22 (UTC+8) 摘要 本文為國內首次使用行政資料針對非典型就業型態進行介紹，以在疫情期間受到大眾歡迎的外送平台做為估計的代表群體，並說明在疫情期間勞動市場的變化，探討在新興的就業型態發展下，外送工作是否能做為穩定且具有持續性的專職工作。本文採用財政部及勞動部2018年至2021年之財稅及勞工保險資料並輔以電子發票交易紀錄進行分析，為瞭解外送收入對於總所得的貢獻程度以及外送工作是否具有持續性，建構了固定效果模型以及常態機率模型進行估計。實證結果顯示，平均而言從事外送工作可增加28%總所得，並且外送工作較有利於女性族群，而外送工作較適合做為一個補充收入性質的工作，不利於需要穩定收入且長期就業的專職勞工，但其所得性質適合學生及兼職等身份加入外送平台。
This article presents the first domestic introduction of atypical employment using administrative data. It focuses on the popular delivery platforms during the pandemic as a representative group for estimation. The research examines the changes in the labor market during the pandemic and explores whether delivery work can serve as a stable and sustainable full-time occupation in the context of emerging employment patterns. The article according to financial and labor insurance data from the Ministry of Finance and the Ministry of Labor for the years 2018 to 2021, supplemented by E-invoice transaction data for analysis. To realize the contribution of delivery wage to the total income and whether the delivery work is sustainable, a fixed effect model and a normal probability model were constructed to estimation.The empirical results show that, on average, engaging in delivery work can increase total income by 28%. Delivery work gives the female population more benefits and is better suited as a supplementary income source rather than a stable, long-term occupation for full-time workers who require consistent income. However, it proves to be a suitable income option for students, part-time workers, and those seeking additional sources of income to join the delivery platform.參考文獻 陳威霖、鄭津津、馬財專、劉士豪、辛昀皓（2022）。零工經濟下各國「類勞工」法制之研究。臺北市：勞動部勞動及職業安全衛生研究所。陳麗萍、王素彎、彭素玲、彭佳玲、吳祐誠（2022）。透過平台業者APP程式提供勞務之國內工作者工作態樣研究-以食品外送平台為例。臺北市：勞動部勞動及職業安全衛生研究所。鐘琳惠、辛炳隆、許聖章、劉念琪、藍科正、王素彎、林嘉慧、簡慧茹（2019）。勞動情勢前瞻研究先驅計畫。臺北市：勞動部勞動及職業安全衛生研究所。Aksoy, C. G., Barrero, J. M., Bloom, N., Davis, S. J., Dolls, M., & Zarate, P. (2022). Working from home around the world (No. w30446). National Bureau of Economic Research.Barrero, J. M., Bloom, N., & Davis, S. J. (2021). Why working from home will stick (No. w28731). National Bureau of Economic Research.Berger, T., Frey, C. B., Levin, G., & Danda, S. R. (2019). Uber happy? Work and well-being in the ‘gig economy’. Economic Policy, 34(99), 429-477.Bloom, N., Han, R., & Liang, J. (2022). How hybrid working from home works out (No. w30292). National Bureau of Economic Research.British Academy (2021). The COVID Decade: Understanding the Long-Term Societal Impacts of COVID-19. London: British Academy.Brynjolfsson, E., Horton, J. J., Ozimek, A., Rock, D., Sharma, G., & TuYe, H. Y. (2020). COVID-19 and remote work: An early look at US data (No. w27344). National Bureau of Economic Research.Cantarella, M., & Strozzi, C. (2021). Workers in the crowd: the labor market impact of the online platform economy. Industrial and Corporate Change, 30(6), 1429-1458.Cook, C., Diamond, R., Hall, J. V., List, J. A., & Oyer, P. (2021). The gender earnings gap in the gig economy: Evidence from over a million rideshare drivers. The Review of Economic Studies, 88(5), 2210-2238.Dingel, Jonathan I. and Brent Neiman (2020), “How Many Jobs can be Done at Home?”Journal of Public Economics, 189, 104235.Farrell, D., Greig, F., & Hamoudi, A. (2019). The evolution of the online platform economy: Evidence from five years of banking data. In AEA Papers and Proceedings (Vol. 109, pp. 362-366). 2014 Broadway, Suite 305, Nashville, TN 37203: American Economic Association.Farrell, D., & Greig, F. (2017). The online platform economy: Has growth peaked?. Available at SSRN 2911194.Greig, F., & Sullivan, D. M. (2021). The online platform economy through the pandemic. Available at SSRN 3956057.Hall, J. V., & Krueger, A. B. (2018). An analysis of the labor market for Uber’s driver-partners in the United States. Ilr Review, 71(3), 705-732.Hoang, L., Blank, G., & Quan-Haase, A. (2020). The winners and the losers of the platform economy: Who participates?. Information, Communication & Society, 23(5), 681-700.International Labour Organization. (2020). ILO Monitor: COVID-19 and the World of Work. Updated Estimates and Analysis. Int Labour Organ.Landivar, L. C., Ruppanner, L., Scarborough, W. J., & Collins, C. (2020). Early signs indicate that COVID-19 is exacerbating gender inequality in the labor force. Socius, 6, 2378023120947997.Landier, A., Szomoru, D., & Thesmar, D. (2016). Working in the On Demand Economy: An analysis of Uber-driver partners in France. Unpublished working paper.Savić, D. (2020). COVID-19 and work from home: Digital transformation of the workforce. Grey Journal (TGJ), 16(2), 101-104. 描述 碩士
國立政治大學
財政學系
110255015資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110255015 資料類型 thesis dc.contributor.advisor 連賢明 zh_TW dc.contributor.advisor Lien, Hsien-Ming en_US dc.contributor.author (Authors) 陳忠新 zh_TW dc.contributor.author (Authors) Chen, Zhong-Xin en_US dc.creator (作者) 陳忠新 zh_TW dc.creator (作者) Chen, Zhong-Xin en_US dc.date (日期) 2023 en_US dc.date.accessioned 2-Aug-2023 13:58:22 (UTC+8) - dc.date.available 2-Aug-2023 13:58:22 (UTC+8) - dc.date.issued (上傳時間) 2-Aug-2023 13:58:22 (UTC+8) - dc.identifier (Other Identifiers) G0110255015 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146543 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 財政學系 zh_TW dc.description (描述) 110255015 zh_TW dc.description.abstract (摘要) 本文為國內首次使用行政資料針對非典型就業型態進行介紹，以在疫情期間受到大眾歡迎的外送平台做為估計的代表群體，並說明在疫情期間勞動市場的變化，探討在新興的就業型態發展下，外送工作是否能做為穩定且具有持續性的專職工作。本文採用財政部及勞動部2018年至2021年之財稅及勞工保險資料並輔以電子發票交易紀錄進行分析，為瞭解外送收入對於總所得的貢獻程度以及外送工作是否具有持續性，建構了固定效果模型以及常態機率模型進行估計。實證結果顯示，平均而言從事外送工作可增加28%總所得，並且外送工作較有利於女性族群，而外送工作較適合做為一個補充收入性質的工作，不利於需要穩定收入且長期就業的專職勞工，但其所得性質適合學生及兼職等身份加入外送平台。 zh_TW dc.description.abstract (摘要) This article presents the first domestic introduction of atypical employment using administrative data. It focuses on the popular delivery platforms during the pandemic as a representative group for estimation. The research examines the changes in the labor market during the pandemic and explores whether delivery work can serve as a stable and sustainable full-time occupation in the context of emerging employment patterns. The article according to financial and labor insurance data from the Ministry of Finance and the Ministry of Labor for the years 2018 to 2021, supplemented by E-invoice transaction data for analysis. To realize the contribution of delivery wage to the total income and whether the delivery work is sustainable, a fixed effect model and a normal probability model were constructed to estimation.The empirical results show that, on average, engaging in delivery work can increase total income by 28%. Delivery work gives the female population more benefits and is better suited as a supplementary income source rather than a stable, long-term occupation for full-time workers who require consistent income. However, it proves to be a suitable income option for students, part-time workers, and those seeking additional sources of income to join the delivery platform. en_US dc.description.tableofcontents 第一章 緒論 1第二章 文獻回顧 7第一節 疫情對工作的影響 7第二節 勞動型態的改變 9第三章 資料說明與敘述統計 12第一節 研究資料 12第二節 外送平台發展趨勢 15第三節 外送工作持續性分析 31第四節 變數選擇與敘述統計量 36第五節 小結 38第四章 研究方法 39第五章 實證結果 42第一節 估計結果 42第二節 穩健性分析 49第六章 結論 53第一節 結論與貢獻 53第二節 限制與建議 55參考文獻 56附錄－疫情下的勞動市場 58 zh_TW dc.format.extent 4102010 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110255015 en_US dc.subject (關鍵詞) 非典型就業 zh_TW dc.subject (關鍵詞) 平台經濟 zh_TW dc.subject (關鍵詞) 外送平台 zh_TW dc.subject (關鍵詞) 新冠疫情 zh_TW dc.subject (關鍵詞) Atypical Employment en_US dc.subject (關鍵詞) Platform Economy en_US dc.subject (關鍵詞) Delivery Platform en_US dc.subject (關鍵詞) COVID-19 pandemic en_US dc.title (題名) 疫情下的非典型就業 zh_TW dc.title (題名) Atypical Employment Under the Epidemic en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 陳威霖、鄭津津、馬財專、劉士豪、辛昀皓（2022）。零工經濟下各國「類勞工」法制之研究。臺北市：勞動部勞動及職業安全衛生研究所。陳麗萍、王素彎、彭素玲、彭佳玲、吳祐誠（2022）。透過平台業者APP程式提供勞務之國內工作者工作態樣研究-以食品外送平台為例。臺北市：勞動部勞動及職業安全衛生研究所。鐘琳惠、辛炳隆、許聖章、劉念琪、藍科正、王素彎、林嘉慧、簡慧茹（2019）。勞動情勢前瞻研究先驅計畫。臺北市：勞動部勞動及職業安全衛生研究所。Aksoy, C. G., Barrero, J. M., Bloom, N., Davis, S. J., Dolls, M., & Zarate, P. (2022). Working from home around the world (No. w30446). National Bureau of Economic Research.Barrero, J. M., Bloom, N., & Davis, S. J. (2021). Why working from home will stick (No. w28731). National Bureau of Economic Research.Berger, T., Frey, C. B., Levin, G., & Danda, S. R. (2019). Uber happy? Work and well-being in the ‘gig economy’. Economic Policy, 34(99), 429-477.Bloom, N., Han, R., & Liang, J. (2022). How hybrid working from home works out (No. w30292). National Bureau of Economic Research.British Academy (2021). The COVID Decade: Understanding the Long-Term Societal Impacts of COVID-19. London: British Academy.Brynjolfsson, E., Horton, J. J., Ozimek, A., Rock, D., Sharma, G., & TuYe, H. Y. (2020). COVID-19 and remote work: An early look at US data (No. w27344). National Bureau of Economic Research.Cantarella, M., & Strozzi, C. (2021). Workers in the crowd: the labor market impact of the online platform economy. Industrial and Corporate Change, 30(6), 1429-1458.Cook, C., Diamond, R., Hall, J. V., List, J. A., & Oyer, P. (2021). The gender earnings gap in the gig economy: Evidence from over a million rideshare drivers. The Review of Economic Studies, 88(5), 2210-2238.Dingel, Jonathan I. and Brent Neiman (2020), “How Many Jobs can be Done at Home?”Journal of Public Economics, 189, 104235.Farrell, D., Greig, F., & Hamoudi, A. (2019). The evolution of the online platform economy: Evidence from five years of banking data. In AEA Papers and Proceedings (Vol. 109, pp. 362-366). 2014 Broadway, Suite 305, Nashville, TN 37203: American Economic Association.Farrell, D., & Greig, F. (2017). The online platform economy: Has growth peaked?. Available at SSRN 2911194.Greig, F., & Sullivan, D. M. (2021). The online platform economy through the pandemic. Available at SSRN 3956057.Hall, J. V., & Krueger, A. B. (2018). An analysis of the labor market for Uber’s driver-partners in the United States. Ilr Review, 71(3), 705-732.Hoang, L., Blank, G., & Quan-Haase, A. (2020). The winners and the losers of the platform economy: Who participates?. Information, Communication & Society, 23(5), 681-700.International Labour Organization. (2020). ILO Monitor: COVID-19 and the World of Work. Updated Estimates and Analysis. Int Labour Organ.Landivar, L. C., Ruppanner, L., Scarborough, W. J., & Collins, C. (2020). Early signs indicate that COVID-19 is exacerbating gender inequality in the labor force. Socius, 6, 2378023120947997.Landier, A., Szomoru, D., & Thesmar, D. (2016). Working in the On Demand Economy: An analysis of Uber-driver partners in France. Unpublished working paper.Savić, D. (2020). COVID-19 and work from home: Digital transformation of the workforce. Grey Journal (TGJ), 16(2), 101-104. zh_TW
