技術變動對薪資影響之研究－以臺灣製造業為例

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：69

、訪客IP：18.227.48.119

姓名

沈綺蓉(Chi-Jung Shen) 查詢紙本館藏

畢業系所

經濟學系

論文名稱

技術變動對薪資影響之研究－以臺灣製造業為例

相關論文

★ 中國出口對鄰近東亞國家之影響	★ 貿易自由化對中國對外出口之影響
★ 從產業關聯表檢視美國再工業化成效	★ 出口、外人直接投資與勞動產出份額：中國的實證研究
★ 高等教育投資值得嗎? 研究所教育報酬之探討	★ 中國旅遊需求分析：世界遺產的影響
★ 中國銀行效率分析	★ 遠來的和尚會念經？NBA球員之薪資與效率分析
★ 開放政策，人力資本與區域經濟發展─越南的實證研究	★ 環境管制、研發與生產力:台灣製造業實證研究
★ 國際經濟學的三篇實證研究	★ 國家研發效率與生產力之分析
★ 外人援助，貪污，與經濟成長：門檻迴歸模型的應用	★ Three essays on China's regional economic analysis
★ 要素配置、結構調整和生產力動態 —印尼製造業的研究	★ 運動經濟學的三篇實證研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

本研究的主要目的在於技術變動對臺灣製造業勞工之教育薪資報酬的影響作進一步的探討。本研究不同於其它文獻的最大特色，是以【人力運用擬追蹤調查】為主要資料，並結合產業層級的技術變動指標，將1986-2004年之年度資料合併，形成具有panel特性的資料以進行本研究的分析。綜合過去文獻所建構之薪資模型，配合相關資料所提供的變數，設計出個人薪資結構函數，探討在不同技術變動的衡量指標下對薪資影響的效果。
由實證結果我們發現技術變動與教育薪資報酬之間存在正向關係。這與許多過去文獻所支持的論點相同，即為在技術變動率愈高的產業，教育報酬是愈高的。而本研究再進一步去檢驗觀察到與未觀察到的個人特性在解釋技術變動與教育薪資報酬間的正相關所扮演的角色，指出在教育薪資結構上，個人未觀察到的特性有重要的影響力。因此，自觀察到的技術變動效果所產生的教育溢酬，主要是由員工未觀察到的異質性所解釋，此異質性與教育有關，亦即對高教育程度員工之未觀察到的能力或其他特性有大幅度需求的結果。故此教育溢酬與挑選效果(sorting effect)的假說，亦即具有較佳人力資本的勞工傾向於進入較高報酬的產業之論點提供了支持。

摘要(英)

The main purpose of this thesis is to analyze the impact of technological change on education wage premium in Taiwan. Different from previous studies, this study uses the dataset of Manpower Utilization Quasi-Longitudinal Survey (MUQLS) and matches a variety of industry-level proxies of technological change to construct a quasi-panel data over the 1986-2004 period to conduct the empirical study.
Based on the earnings model and including personal characteristics and technological change variables, the empirical results show that there is a positive correlation between technological change and the educational wage premium, which is consistent with findings in previous studies. That is, the educational wage premium is greater in the industries with rapid technological change. This study further examines the role played by observed and unobserved individual characteristic in explaining the positive relation between technological change and the educational premium, and points out that the unobserved heterogeneity is the main influence on explaining the educational wage structure. Hence, the positive relationship between the educational wage premium and technological change can be primarily explained by worker’s unobserved heterogeneities, which is related with education. This result can be attributed to the greater demand for the unobserved ability and other characteristics of high educated workers, and it provides a supportive view for the hypothesis of sorting effect, that workers with better human capital tend to enter the industry where can pay higher wage rewards.

關鍵字(中)

★ 技術偏向之技術變動
★ 未觀察到的異質性
★ 教育溢酬

關鍵字(英)

★ skill-biased technological change (SBTC)
★ unobserved heterogeneity
★ educational wage premium

論文目次

第一章緒論 ..................................... 1
第一節研究動機 ..................................... 1
第二節研究目的 ..................................... 5
第三節研究方法與資料來源 ........................... 5
第四節本文架構 ..................................... 6
第二章文獻回顧 ..................................... 7
第一節 Skill-Biased Technological Change (SBTC) ..... 7
第二節利用國家之個人層級資料研究之文獻 ............. 9
第三節電腦化對工資影響之相關文獻 ................... 12
第四節使用產業層級資料之實證文獻 ................... 14
第五節使用工廠層級資料之實證文獻 ................... 16
第六節結合個人層級資料與產業層級的技術變數之實證文獻 ......19
第三章研究方法與資料來源 ........................... 28
第一節薪資所得模型 ................................. 28
第二節研究變數的衡量與定義 ......................... 30
第三節計量方法 ..................................... 37
第四節資料來源與研究對象 ........................... 46
第五節資料處理 ..................................... 50
第四章實證結果與分析 ............................... 54
第一節資料分析 ..................................... 54
第二節實證結果分析 ................................. 59
第五章結論與建議 ................................... 68
第一節結論 ......................................... 68
第二節建議 ......................................... 69
參考文獻 ............................................ 72
附錄一　職業分類代碼 ................................ 75
附錄二　製造業之行業分類代碼 ........................ 76

參考文獻

〔1〕吳家聲(1986)，「臺灣地區個人薪資決定因素分析」，《台灣銀行季刊》37(4)，p175-217。
〔2〕吳惠林(1988)，「專上人力勞動報酬的決定因素－臺灣的實證分析」，《經濟論文叢刊》16(3)，p357-369
〔3〕張昌吉(1992)，「我國勞工薪資所得與決定因素之分析」，《勞動學報》第二期，p111-226。
〔4〕蔡瑞明、林大森(2002)，「滾石不生苔？台灣勞力市中的工作經歷對薪資的影響」，《台灣社會學刊》第二十九期，p57-95。
〔5〕Allen, Steven G.. (2001) “Technology and the Wage Structure.” Journal of Labor Economics,19,440-483.
〔6〕Autor, David H., Katz, Lawrence F. and Krueger, Alan B. (1998) “Computing Inequality：Have Computers Changed the Labour Market?” Quarterly Journal of Economics,113,
1169-1213
〔7〕Batel, Ann P., and Sicherman, Nachum. (1999) “Technological Change and Wages：An Inter-Industry Analysis” Journal of Labor Economics,107,285-325.
〔8〕Berman, Eli; Bound, John and Griliches, Zvi. (1994) “Changes in the Demand for Skilled Labor within U.S. Manufacturing：Evidence from the Annual Survey of Manufactures.” Quarterly Journal of Economics,109,367-397.
〔9〕Berman, Eli; Bound, John and Machin Stephen. (1998) “Implication of Skill-Biased Technological Change：International Evidence.” Quarterly Journal of Economics, 113,1245-1279.
〔10〕Berndt, Ernst R., Morrison, Catherine J. and Rosenblum, Larry S. (1992) “High Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries：An Exploratory Analysis.” Working Paper No. 4010. Cambridge, MA：National of Bureau of Economic Research.
〔11〕Bound, John and Johnson, George. (1992) “Changes in the Structure of Wages during 1980s：An Evaluation of Alternative Explanations.” American Economics Review,82, 371-392.
〔12〕Chay, Kenneth Y. and Lee, David S. (1996) “Changes in Relative Wages in the 1980s：Returns to Observed and Unobserved Skills and Black-White Wage Differentials.” Manuscript. Princeton, N.J.： Princeton University.
〔13〕Chennells, Lucy and Van Reenen, John. (1997) “Technical Change and Earnings in British Establishments.” Economica,64,587-604.
〔14〕Choi, Kang-Shink and Jeong Jinook (2005) “Technological Change and Wage Premium in A Small Open Economy：the Case of Korea.” Applied Economics,37,119-131.
〔15〕Davis, Steve J. and Haltiwanger, John. (1991) “Wage Dispersion between and within U. S. Manufacturing Plants, 1963-1986.” Brookings Papers on Economic Activity, Microeconomics,115-120.
〔16〕DiNardo, John, E. and Pischke, Joen-Steffen. (1997) “The Returns to Computer Use Revisited：Have Pencils Changed the Wage Structure too?” Quarterly Journal of Economics,112,291-303.
〔17〕Dorms, Mark; Dunne, Timothy and Troske, Kenneth R. (1997) “Workers, Wages, and Technology.” Quarterly Journal of Economics,112,253-290.
〔18〕Dunne, Timothy and Schmitz, James A., Jr. (1995) “Wages, Employment Structure and Employer-Size Wage Premia：Their Relationship to Advanced-Technology Usage at U.S. Manufacturing Establishments.” Economica,62,89-107.
〔19〕Entorf Horst and Kramarz, Francis. (1998) “The Impact of New Technologies on Wages and Skills: Lessons from Matching Data on Employees and on Their Eirms.” Econ. Innov. New. Techn.,5,165-197.
〔20〕Griliches, Zvi. (1969) “Capital-Skill Complementarity.” Rev. Econ. And Statis,51,465-68.
〔21〕Hausman, Jerry A. (1978) “Specification Tests in Econometrics.”Econometrica,46,1251-1271.
〔22〕Juhn, Chinhui; Murphy, Kevin M. and Pierce, Brooks. (1993) “Wage Inequality and the Rise in Returns to Skill.” Journal of Political Economy,101,410-442.
〔23〕Katz, Lawrence F., and Murphy Kevin M. (1992) “Changes in Relative Wages, 1963-1987：Supply and Demand Factors.” Quarterly Journal of Economics,107,35-78.
〔24〕Krueger, Alan B. (1993) “How Computers Have Changed the Wage Structure：Evidence from Microdata, 1984-1989.” Quarterly Journal of Economics,108,33-60.
〔25〕Kumar, Nagesh and Saqib, Mohammed. (1996) “Firm Size , Opportunities for Adaptation Indian Manufacturing.”Research Policy,713-722.
〔26〕Lee, Jaymin. (1996) “Technology Imports and R&D Efforts of Korean Manufacturing Firms.” Journal of Development Economics,50 ,197-210.
〔27〕Liu, Jin-Tan; Tsou, Meng-Wen and Hammitt, James K. (2001) “The Impact of Advanced Technology Adoption on Wage Structures：Evidence from Taiwann Manifacturing Firms.” Economica,68,359-378.
〔28〕Machin, Stephen and Van Reenen, John. (1998) “Technology and Changes in Skill Structure：Evidence from Seven OECD Countries.” Quarterly Journal of Economics, 113, 1215-1244.
〔29〕Mincer, Jacob. (1974) “Schooling, experience, and earnings.” Columbia university press New York and London.
〔30〕Mincer, Jacob A. (1991) “Human Capital, Technology and the Wage Structure：What Do Time Series Show?” Working Paper No. 3581. Cambridge, MA：National of Bureau of Economic Research.
〔31〕Suh, Joonghae. (1993) “A Simultaneous Equation Tobit Analysis of Research and Development in Korean Manufacturing Firms.” Journal of Economic Development, 18,127-149.
〔32〕Taber Christopher R. (2001) “The Rising College Premium in the Eighties：Return to College or Return to Unobserved Ability?”Review of Economis Studies,68,665-691.
〔33〕Tsou, Meng-Wen. (2002) “Wage Differentials in Taiwanese Manufacturing, 1982-1997.” Asian Economic Journal,16,317-335.
〔34〕Yang, Chih-Hai. (2003) “Protecting Foreign Inventors or a Learning Channel？ Evidence from Patents Granted in Taiwan” Economics Letters,81(2),227-231.

指導教授

楊志海(Chih-Hai Yang)

審核日期

2007-6-27

推文