| 研究生: |
李曉昀 Lee, Xiao-Yun |
|---|---|
| 論文名稱: |
臺灣知識與技術密集產業發展下的性別薪資差異 Gender wage differentials among Taiwan's knowledge-and-technology-intensive industries |
| 指導教授: |
謝文真
Hsieh, Wen-Jen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
社會科學院 - 政治學系 Department of Political Science |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 113 |
| 中文關鍵詞: | 性別薪資差異 、Oaxaca-Blinder 薪資差異分解模型 、知識與技術密集產業 、STEM 、分量迴歸 |
| 外文關鍵詞: | Gender wage differentials, Blinder-Oaxaca decomposition, knowledge- and technology-intensive industries, STEM, Quantile regression |
| 相關次數: | 點閱:169 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
近年來國內包含知識密集型服務業(knowledge-intensive business industries, KIBS)與高技術製造業的技術密集產業(knowledge- and technology-intensive industries, KTI) 產值持續提高,該產業帶來大量新興工作機會並成為推動臺灣經濟發展越發重要的一部份。然而,由於KTI產業重視員工之專業知識與技術能力,尤其是與數位科技相關之STEM領域(包含科學、技術、工程及數學)知識,但國內女性就讀STEM相關科系的比率僅約兩成,男性卻近五成,相對而言男性從事高薪資水平的KTI產業相較有優勢,KTI產業中擔任重要職位的員工也以男性比率較高。故本研究旨在探討我國當前行業間的「性別水平行業隔離」以及職位間的「性別垂直職務隔離」現象,並分析知識與技術密集化的產業轉型對於性別薪資差異之可能影響。
本研究採用行政院主計總處公布之「人力資源運用調查」2019與2020年的數據,以時薪為被解釋變數,並以行業別、職務別、是否就讀STEM相關科系及其他控制變數為解釋變數,利用普通最小平方法(OLS)、Oaxaca-Blinder (O-B)薪資差異分解模型以及分量迴歸(quantile regression, QR)方法進行分析。兩個年度的分析具有一致的結果,OLS的實證結果支持了本研究的假設一:於水平層面,「平均而言,女性從事KTI而提升的薪資程度比男性更高」;而O-B模型的分析中,製造業的實證結果則能夠支持假設二:「KTI產業中不可解釋的職場差別待遇程度較低」;最後,QR的結果亦與本研究的假設三:「KTI內的「垂直性別職業隔離」現象較為嚴峻」相符,也就是說,於垂直層面,KTI產業的最高薪資階層的性別薪資差距較大。綜上所述,整體產業的知識與技術化發展,對於我國的性別薪資差距似乎存著潛在的擴大風險。除此之外,疫情的爆發下2020年度中低薪資水平群體的性別薪資差距情形似乎較2019年擴大。
根據實證分析結果,本研究建議同工同酬的性別平等落實政策須考量不同產業特性之影響。此外,也應鼓勵更多女性進入STEM領域,以利於女性進入KTI產業並於該產業內晉升,藉以打破玻璃天花板與縮減性別薪資差距。
The output values of Taiwan's Knowledge- and technology-intensive industries (KTI) have been increasing in recent years. The KTI emphasizes the professional knowledge and technical skills, especially in STEM (science, technology, engineering, and mathematics) fields. However, in Taiwan, only about 20% of women have academic backgrounds relevant to STEM, compared to over 50% of men. Men seem to be more likely to work in higher paid KTI and to hold key positions in KTI. In this context, this thesis aims to discuss the situation of "horizontal gender occupational segregation" and "vertical gender occupational segregation" in Taiwan and figure out its impact on gender wage differentials. This research adopts 2019 and 2020 data from “Manpower Utilization Survey”. Ordinary least squares (OLS), Oaxaca-Blinder (O-B) decomposition and quantile regression method (QR) are used in this study. The analysis for both years have consistent results. The OLS estimated results suggest that the gender wage differentials seem to be smaller in KTI, and the results of O-B decomposition indicate that women may enjoy lower unexplained discrimination, especially in high-tech manufacturing. However, the QR analysis finds that the higher paid quintiles of KTI is facing a wider gender wage differential. In conclusion, the booming development of KTI seems to have a potential risk of expanding the gender wage differentials in Taiwan. Additionally, under the influence of COVID-19 pandemic, the gender wage differentials seem to be widened among the wage groups of lower quintiles.
一、 中文文獻
1. 王麗容、江豐富,2008,〈因應知識經濟及新興服務業發展提升我國婦女人力運用之研究〉,行政院經濟建設委員會委託研究。
2. 石安伶、鄧喻安,2021,〈藥品及醫用化學製品製造業發展趨勢〉,《台灣趨勢研究股份有限公司(TTR)台灣趨勢研究報告》。
3. 行政院,2019,〈2019 年亞太經濟合作婦女與經濟論壇〉,《國際會議報告》。
4. 行政院主計處,2010,《中華民國職業標準分類(第6次修訂)》。台北市:行政院主計處。
5. 行政院主計總處,2019,《105年工業及服務業普查》。台北市:行政院主計總處。
6. 行政院主計總處,2019,《人力資源調查統計年報》。台北市:行政院主計總處。
7. 行政院性別平等處,2021,《2021年性別圖像》,台北市:行政院性別平等處(2021年1月)。
8. 吳忠吉,1988,〈產業就業性別結構的初步研究〉,《經濟論文叢刊》,16: 439-457。
9. 吳啟新,2015,〈同工同酬、同值同酬研究案〉,《勞動部104年度委託研究計畫》。
10. 吳慧瑛,2003,〈二十年來教育發展之經濟評估,1978-2001〉,《臺灣經濟預測與政策》,33 (2):97-130。
11. 李映璇,2019,〈各國女性科學及科技人才培育之概況〉,《國家教育研究院電子報》,184:1-12。
12. 徐美、陳明郎、方俊德,2006,〈台灣產業結構變遷和性別歧視對男女薪資溢酬變動趨勢之影響〉,《經濟論文》,34 (4):505-539。
13. 高長,1993,〈台灣地區婦女就業與性別歧視之實證研究〉,《台灣銀行季刊》,44 (4):223-247。
14. 國家發展委員會,2020,《中華民國人口推估(2020 至 2070 年)》,台北市:國家發展委員會(2020年8月)。
15. 張晉芬,2017,〈性別平等了嗎?男性和女性受僱者薪資差距解析〉,《未竟的奇蹟:轉型中的台灣經濟與社會》,臺北市:中央研究院社會所。
16. 許碧峰,2004,〈台灣大專教育溢酬、性別薪資差異與勞動者未觀察到能力報酬之變化〉,《經濟論文叢刊》,32 (2):267-291。
17. 陳怡如,2021,〈科技女力,改變世界〉,《工業技術與資訊月刊》,349: 18-21。
18. 陳建良、管中閔,2006,〈台灣工資函數與工資性別歧視的分量迴歸分析〉,《經濟論文》,34 (4):435-468。
19. 曾敏傑,2001,〈台灣地區兩性薪資差異與變遷:1982、1992、及2000年的比較〉,《人口學刊》,23:147-209。
20. 葉羽曼,2021,〈女超人任務:勞動市場階層化之跨國比較〉,《休閒研究》,11 (1):157-168。
21. 廖書敏,2004,〈製造業與服務業之兩性薪資差異〉,國立清華大學經濟學研究所碩士論文。
22. 趙心寧,2020,〈左右逢源半導體大爆發〉,《工業技術與資訊月刊》,347:33。
23. 謝雨生、鄭宜仲,1997,〈團體比較研究中結構差異的考慮與處理:論迴歸標準化及對數線性消除法的應用〉。楊文山主編,《社會科學計量方法發展與應用》,臺北市:中央研究院中山人文社會科學研究所。
二、 外文文獻
1. Anker, Richard. 1997. “Theories of Occupational Segregation by Sex: An Overview.” International Labour Review 136 (3): 315-339.
2. Antonie, L., Gatto, L. and Plesca, M. 2020. “Full-Time and Part-Time Work and the Gender Wage Gap.” Atlantic Economic Journal 48: 313–326.
3. Becker, G.S.1964. Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. Chicago: University of Chicago Press.
4. Becker, G.S.1971. The Economics of Discrimination. Chicago: University of Chicago Press (Second Edition).
5. Berik, Günseli, Yana van der Meulen Rodgers and Joseph E. Zveglich. 2004. "International Trade and Gender Wage Discrimination: Evidence from East Asia." Review of Development Economics 8 (2): 237-254.
6. Blau, Francine and Lawrence Kahn. 2017. “The Gender Wage Gap: Extent, Trends, and Explanations.” Journal of Economic Literature 55(3): 789–865.
7. Blinder, Alan S. 1973. “Wage Discrimination: Reduced Form and Structural Estimates.” Journal of Human Resources 8 (4): 436-455.
8. Booth A., Burton, J. and Mumford, K. 2003. “The position of women in UK academic economics.” The Economic Journal 110: 312-333.
9. Chernozhukov, Victor, Iván Fernández‐Val and Blaise Melly. 2013. “Inference on Counterfactual Distributions.” Econometrica 81 (6): 2205-2268.
10. Dominguez-Villalobos, Lilia and Flor Brown-Grossman. 2010. “Trade Liberalization and Gender Wage Inequality in Mexico.” Feminist Economics 16 (4): 53-79.
11. Dueñas-Fernández, Diego, C. Iglesias-Fernández and Raquel Llorente-Heras. 2015. “Is there less gender inequality in the service sector? The gender wage-gap in knowledge-intensive services.” Social Science Information 54: 369-393.
12. England, Paula, Michelle Budig, and Nancy Folbre. 2002. “Wages of Virtue: The Relative Pay of Care Work.” Social Problems 49 (4): 455-473.
13. Fan, Chengze Simon and Hon-Kwong Lui. 2003. “Structural change and the narrowing gender gap in wages: theory and evidence from Hong Kong.” Labour Economics 10 (5): 609-626.
14. Faulkner, Wendy. 2009. “Doing gender in engineering workplace cultures. I. Observations from the field.” Engineering Studies 1 (1): 3-18.
15. Fields, J., and E.N. Wolff. 1995. “Interindustry Wage Differentials and the Gender Wage Gap.” Industrial and Labor Relations Review 49 (1): 105-120.
16. Firpo, Sergio, Nicole M. Fortin and Thomas Lemieux. 2009. “Unconditional Quantile Regressions.” Econometrica 77 (3): 953-973.
17. Flabbi L. 2011. “Gender differentials in education, career choices and labour market outcomes on a sample of OECD countries.” Background paper for the World Development Report 2012.
18. Heckman, J. J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47: 153–162.
19. Jacob Mincer. 1974. Schooling, Experience, and Earnings, National Bureau of Economic Research. New York: Distributed by Columbia University Press.
20. Jann, Ben. 2008. “A Stata Implication of the Blinder-Oaxaca Decomposition.” The Stata Journal 8 (4): 453-479.
21. Kim, Chang Hwan. 2010. “Decomposing the Change in the Wage Gap Between White and Black Men Over Time, 1980-2005: An Extension of the Blinder-Oaxaca Decomposition Method.” Sociological Methods and Research 38 (4): 619-651.
22. Klasen, S., and Lamanna, F. 2009. “The impact of gender inequality in education and employment on economic growth: New evidence for a panel of countries.” Feminist Economics 15 (3): 91–132.
23. Koenker, R. and G. J. Bassett. 1978. “Regression Quantiles.” Econometrica 46: 33-50.
24. Meriküll, Jaanika and Maryna Tverdostup. 2020. “The Gap that Survived the Transition: The Gender Wage Gap Over Three Decades in Estonia.” The University of Tartu FEBA Working Paper.
25. National Science Board (NSB). 2018. “Science and Engineering Indicators: 2018 Digest.” Alexandria, VA: National Science Foundation.
26. NSB. 2020. “Science and Engineering Indicators 2020: The State of U.S. Science and Engineering.” Alexandria, VA: National Science Foundation.
27. Oaxaca, R. L. 1973. “Male-Female Wage Differentials in Urban Labor Markets.” International Economic Review 14: 693–709.
28. Olivetti, Claudia and Barbara Petrongolo. 2014. “Gender gaps across countries and skills: Demand, supply and the industry structure.” Review of Economic Dynamics 17 (4): 842-859.
29. Olivetti, Claudia and Barbara Petrongolo. 2016. “The Evolution of Gender Gaps in Industrialized Countries.” IZA Discussion Paper No. 9659.
30. Organisation for Economic Co-operation and Development (OECD). 2001. OECD Science, Technology and Industry Scoreboard 2001: Towards a Knowledge-Based Economy. Paris: Directorate for Science, Technology, and Industry, Economic Analysis Statistics.
31. Organization for Economic Cooperation and Development (OECD). 2007. “ICTs and Gender.” OECD Digital Economy Papers. No. 129.
32. Petersen, Trond and Laurie A. Morgan. 1995. “Separate and Unequal: Occupation Establishment Sex Segregation and the Gender Wage Gap.” American Journal of Sociology 101 (2): 329-365.
33. Sahoo, Soham and Stephan Klasen. 2018. “Gender Segregation in Education and Its Implications for Labour Market Outcomes: Evidence from India.” IZA Discussion Papers 11660.
34. Segovia‐Pérez, Mónica, Rosa Belén Castro Núñez, Rosa Santero Sánchez and Pilar Laguna Sánchez. 2019. “Being a woman in an ICT job: an analysis of the gender pay gap and discrimination in Spain.” New Technology, Work and Employment 35 (1): 20-39.
35. Seguino, S. 2000. “The effects of structural change and economic liberalisation on gender wage differentials in South Korea and Taiwan.” Cambridge Journal of Economics 24 (4): 437-459.
36. Semyonovn, Moshe. 1988. “Bi-Ethnic Labor Market, Mono-Ethnic Labor Market, and Socioeconomic Inequality.” American Sociological Review 53 (2): 256-266.
37. Truss C, Conway E, d’Amato A, Kelly G, et al. 2012. “Knowledge work: Gender-blind or genderbiased?” Work, Employment & Society 26 (5): 735–754.
38. Tverdostup, Maryna. 2021. “Gender Gaps in Employment, Wages, and Work Hours: Assessment of COVID-19 Implications.” wiiw Working Paper No. 202.
39. United Nations Educational, Scientific, and Cultural Organization (UNESCO). 2017. Cracking the code: Girls’ and women’s education in science, technology, engineering and mathematics (STEM). France: UNESCO.
40. United Nations. 2016. Guide on Measuring Human Capital. New York and Geneva: UN.
41. Ural, Beyza, William Horrace and Jin Hwa Jung. 2009. “Inter-industry gender wage gaps by knowledge intensity: discrimination and technology in Korea.” Applied Economics 41 (11): 1437-1452.
42. Welch, F. 1975. “Human Capital Theory: Education, Discrimination, and Life Cycles.” American Economic Review 65: 63-73.
43. Wessel, Terje. 2013. “Economic Change and Rising Income Inequality in the Oslo Region: The Importance of Knowledge-Intensive Business Services." Regional Studies 47 (7): 1082-1094.
44. Wolszczak-Derlacz, Joanna. 2013. “Mind the Gender Wage Gap – the Impact of Trade and Competition on Sectoral Wage Differences.” The World Economy 36 (4): 437-464.
45. World Bank. 2006. Where is the Wealth of Nations? Washington, D.C.: World Bank.
46. World Economic Forum (WEF). 2019. Global Gender Gap Report 2020. Switzerland: WEF
47. Zilberman, Alan and Lindsey Ice. 2021. “Why computer occupations are behind strong STEM employment growth in the 2019–29 decade.” Beyond the Numbers: Employment & Unemployment 10 (1).
三、 網路資料
1. 中華民國統計資訊網,2021,〈109年薪資及生產力統計性別統計分析(含國際比較)〉,網址:https://www.stat.gov.tw/ct.asp?xItem=33341&ctNode=6135&mp=4,(檢索日期:2021年9月3日)。
2. 中華民國總統府,〈地方政府-概述〉,中華民國總統府網站: https://www.president.gov.tw/Page/106,檢索日期:2021年1月20日。
3. 行政院新聞稿,2017,〈持續推動性別平等,營造幸福社會〉,網址:https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/7d41b3de-a6ec-4c2b-9e7a-9ebf7feec52e,(檢索日期:2021年10月3日)。
4. 行政院主計總處,〈人力運用調查〉,學術調查研究資料庫: https://srda.sinica.edu.tw/datasearch_detail.php?id=3098,檢索日期:2020年10月30日。
5. 行政院主計總處,〈國內各業生產及平減指數-年〉,中華民國統計資訊網:http://statdb.dgbas.gov.tw/pxweb/Dialog/varval.asp?ma=NA8103A1A&ti=%B0%EA%A4%BA%A6U%B7~%A5%CD%B2%A3%A4%CE%A5%AD%B4%EE%AB%FC%BC%C6-%A6~&path=../PXfile/NationalIncome/&lang=9&strList=L,檢索日期:2020年11月23日。
6. 行政院主計總處,〈薪資與生產力統計〉,薪情平台:https://earnings.dgbas.gov.tw/query_payroll_C.aspx,檢索日期:2020年11月27日。
7. 財團法人婦女權益促進發展基金會,2020,〈COVID-19 疫情之下的女性〉,Gender 萬花筒國際資訊交流站:https://www.gender.ey.gov.tw/International/System/GenderNews/DealData.aspx?n=EcfUJy%2FsRRPbnOe4TvO%2FJg%3D%3D&sn=Lu3CUwgfTRCBdF5nRepQ%2Bg%3D%3D,檢索日期:2021年3月27日。
8. 教育部,2014,〈到成年期提升自我信心〉,教育部體育署網站:https://www.sa.gov.tw/PageContent?n=1533,檢索日期:2021年8月12日。
9. 勞動部,2019,〈性別勞動統計-勞動力狀況〉,勞動部網站:https://statdb.mol.gov.tw/html/woman/108/108woanalyze01.pdf,檢索日期:2021年1月18日。
10. 勞動部,2021,〈109年我國兩性薪資差距〉,勞動部網站:https://www.mol.gov.tw/media/9036970/109%e5%b9%b4%e6%88%91%e5%9c%8b%e5%85%a9%e6%80%a7%e8%96%aa%e8%b3%87%e5%b7%ae%e8%b7%9d.pdf ,檢索日期:2021年9月8日。
11. 富達投信,2021,《女力驅動大未來─2021 台灣女性投資理財報告》,富達投信:https://www.fidelity.com.tw/filtw-prod-uploads/documents/document/women_whitepaper0521.pdf,檢索日期:2021年4月18日。
12. EIGE. 2017. “Economic Benefits of Gender Equality in the European Union: How closing the gender gaps in labour market activity and pay leads.” https://eige.europa.eu/gender-mainstreaming/policy-areas/economic-and-financial-affairs/economic-benefits-gender-equality (accessed on March 18, 2021).
13. European Institute for Gender Equality (EIGE). 2017. “Economic Benefits of Gender Equality in the European Union: Overall economic impacts of gender equality.” https://eige.europa.eu/gender-mainstreaming/policy-areas/economic-and-financial-affairs/economic-benefits-gender-equality (accessed on March 18, 2021).
14. Eurostat. 2016. “Glossary: Knowledge-intensive services (KIS).” https://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:Knowledge-intensive_services_(KIS) (accessed on September 18, 2020).
15. Eurostat. 2018. “Glossary: High-tech classification of manufacturing industries”. https://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:High-tech_classification_of_manufacturing_industries (accessed on September 18, 2020).
16. International Labour Organization. 2020. “ILO Monitor: COVID-19 and the world of work. Fifth edition.” https://www.ilo.org/wcmsp5/groups/public/@dgreports/@dcomm/documents/briefingnote/wcms_749399.pdf (accessed on May 3, 2021).
17. KPMG. 2020. “Everything Changed. or Did It?” https://www.hnkpmgciosurvey.com/ (accessed on March 18, 2021).
18. United Nations (UN). 2015. “The 2030 Agenda for Sustainable Development.” https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf (accessed on Octorbor 15, 2020).
19. Morgan Stanley Capital International Inc. (MSCI). 2020. “Women on boards: 2020 progress report.” https://www.msci.com/documents/10199/9ab8ea98-25fd-e843-c9e9-08f0d179bb85 (accessed on October 11, 2021).
20. MSCI. 2015. “Women on Boards.” https://www.msci.com/documents/10199/04b6f646-d638-4878-9c61-4eb91748a82b (accessed on September 28, 2021).
21. Pardue, Luke. 2021. “The Gender Pay Gap Narrowed in 2020, But for the Wrong Reasons: Findings from Payroll Microdata.” https://gusto.com/company-news/the-gender-pay-gap-narrowed-in-2020-but-for-the-wrong-reasons-findings-from-payroll-microdata-2 (accessed on December 11, 2021).
22. PricewaterhouseCoopers (PwC). 2020. “Women in Work: The opportunities and challenges of the tech revolution.” https://www.pwc.co.uk/economic-services/WIWI/women-in-work-2020-full.pdf (accessed on November 8, 2021).
23. The National Academies. 2007. “Rising Above the Gathering Storm, Revisited: Rapidly Approaching Category 5.” https://www.nsf.gov/attachments/117803/public/3b--RAGS_Revisited.pdf (accessed on November 9, 2021).
校內:2027-02-09公開