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論文名稱 Title |
台灣企業薪資的決定因素 Firm-Level Determinants of Wage in Taiwan |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
47 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2020-03-13 |
繳交日期 Date of Submission |
2020-03-18 |
關鍵字 Keywords |
薪資決定、公司特質、產業薪資差異、規模-工資效應、分量迴歸 Wage determination、firm characteristics、inter-industry wage differentials、size-wage effects、quantile regressions |
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統計 Statistics |
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中文摘要 |
本研究主要探討我國企業薪資的決定因素,以企業特質作為主要變數,研究 企業特質對薪資的影響,並透過分量迴歸模型探討企業特質對各條件分量的薪資 是否具有不同的影響效果。之後則進一步將產業分類為高科技產業、傳統產業及 服務業,分析產業間企業特質對薪資影響之差異。本研究以我國 2010 年至 2018 年之上市上櫃公司為研究對象,研究發現我國企業前期稅後淨利、生產力及研發 的投入對任何條件分量的薪資均具正向顯著的影響,顯示該三項變數確實為影響 企業薪資的重要因素。後續進一步探討不同產業間企業特質對薪資影響的差異, 研究結果發現高科技產業的企業除了企業年齡對薪資為負向的影響,其他公司特 質的變數對於其薪資均為顯著為正的影響,其中又以研發投入對薪資的影響最為 顯著;而傳統產業除了研發投入與企業年齡對於薪資沒有影響以外,其他皆對薪 資有正面的影響,其中又以企業規模對薪資的影響效果最大;最後,服務業的實 證結果則顯示除了企業獲利以外的變數對於薪資皆具有正向的影響。總結以上可 以發現企業特質對不同產業的薪資確實具有不同的影響效果,然而,無論是何種 產業,均顯示我國企業存在規模-薪資溢價,規模較大的公司仍會給予員工較高 的薪資,且生產力均為影響薪資重要的因子。 |
Abstract |
This study mainly discusses the firm-level determinants of wage in Taiwan. Using firm characteristic as the main variable to investigate the influence on wage. Through quantile regression model, we explore whether the firm characteristic has different effects on the wage of each conditional quantile. In addition, we further divide the industries into high-tech industry, traditional industry and service industry then analyzes the variance of wage influence from firm characteristic between the industries. This study takes the listed firms in Taiwan from 2010 to 2018 as the research subject and finds that the lagged net income, productivity and R&D input have significant positive effect at each wage level. It suggests that the three variables are surely the important factors of firm wage. Furthermore, this study examines the variance of wage influence from firm characteristics between different industries. The result suggests that all the firm characteristic has positive effect on wage while the firm age has negative effect in high-tech industry. Among the characteristics, the R&D input has the most statistically significant effect on wage. For traditional industry, all the firm characteristics have positive effect on wage except for R&D input and firm age have no effect, and the firm size has the strongest influence. At last, the result of service industry suggests that all the firm characteristics have positive effect on wage except firm profit. As stated above, the firm characteristic certainly has different effect on wage of different industries. However, whichever industry has size-wage premium in Taiwan firms. The larger firms yet pay higher wage to their employees, and productivity is always an important factor of firm wage. |
目次 Table of Contents |
目錄 論文審定書.....................................................................................................................i 摘要................................................................................................................................ii Abstract........................................................................................................................ iii 目錄...............................................................................................................................iv 圖次................................................................................................................................v 表次...............................................................................................................................vi 第一章 緒論..................................................................................................................1 第一節 研究背景..................................................................................................1 第二節 研究動機..................................................................................................5 第三節 研究目的..................................................................................................6 第二章 文獻探討..........................................................................................................7 第一節 企業特徵對薪資決定的影響..................................................................7 第二節 公司規模與產業特性對薪資決定的影響..............................................9 第三章 研究方法........................................................................................................11 第一節 研究架構................................................................................................11 第二節 研究問題................................................................................................11 第三節 樣本選取與資料來源............................................................................15 第四節 研究模型與變數定義............................................................................16 第四章 實證結果........................................................................................................20 第一節 敘述統計................................................................................................20 第二節 共線性檢定............................................................................................23 第三節 實證結果................................................................................................26 第五章 結論與建議....................................................................................................33 第一節 結論........................................................................................................33 第二節 研究限制與建議....................................................................................34 參考文獻......................................................................................................................36 附錄..............................................................................................................................39 |
參考文獻 References |
參考文獻 江憶萍,2015,婚姻是薪資的阻力或助力?以分量回歸分析,國立臺灣海洋 大學應用經濟研究所碩士學位論文。(Jiang,Y.P., Marriage penalty or bonus?An analysis of quantile regression, National Ocean University.) 行政院主計處研究報告(2001),薪資統計員工特性及差異之研究。 林妏蓁,2016,我國投資與生產力及薪資之關聯,政治大學財政研究所碩 士學位論文。(Lin, W. J., 2016, The Relationship among Investment, Productivity and Wage:Evidence from Taiwan, Master Thesis, National Chengchi University.) 財政部統計處(2017),由財稅大數據探討臺灣近年薪資樣貌。 許維真,2018,薪酬委員會的成立與品質對於經理人盈餘管理之影響,國 立中山大學財務管理學系碩士學位論文。(Hsu, W. C., 2018, The Influences of the Establishment and Quality of Compensation Committee on Managers' Earnings Management, Master Thesis, National Sun Yat-sen University.) 陳裴紋,2018,台灣薪資成長低緩問題及因應對策,中央銀行 經濟研究 處。取自: http://www.tpefx.com.tw/uploads/download/tw/Low%20wage%20growth% 20and%20response.pdf。 蕭喆鴻(2018),我國高科技產業員工薪資水準概況。科技政策觀點。取自: https://portal.stpi.narl.org.tw/index/article/10411。 Arai, M. (2003). Wages, Profits, and Capital Intensity: Evidence from Matched Worker‐Firm Data. Journal of Labor Economics, 21(3), 593-618. 37 Bhorat, H., Oosthuizen, M., Lilenstein, K. and Steenkamp, F. (2017). Firm-Level Determinants of Earnings in the Formal Sector of the South African Labour Market, WIDER Working Paper Series, 1-59. Brown, C. and Medoff, J. L. (2003), “Firm Age and Wages”, Journal of Labor Economics, Vol. 21, No. 3, p.677-697. Currie, J. and McConnell, S.(1992), “Firm-Specific Determinants of the Real Wage.”, The Review of Economics and Statistics, 74(2) , 297-304. Davis, S. J. and Haltiwanger. J. (1996). Employer size and the wage structure in the United States. Annale d’Économie et de Statistique, 41/42, 323-368. Gruetter, M. & Lalive, R.(2004), The Importance of Firms in Wage Determination, Discussion Paper Series , Discussion Paper No. 1367,1-31. Heyman, F. (2007), Firm Size or Firm Age? The Effect on Wages Using Matched Employer–Employee Data, LABOUR, 21(2), 237-263. Hildreth, Andrew K. G., and Oswald, Andrew J.(1997), Rent-Sharing and Wages: Evidence from Company and Establishment Panels., Journal of Labor Economics 15(2), 318-337. Koenker, R. and Bassett, G. J. (1978). Regression Quantiles, Econometrica, 46(1), 33-50. Li, X.(2016), Impact of Firm Characteristics on Wages: Industry Wage Differentials and Firm Size-Wage Effects in Sweden. Master thesis(15 ETS ), 1-36. Liu, J.T., Tsou, M.W. and Hammitt, J.K. (2001). The Impact of Advanced Technology Adoption on Wage Structures: Evidence from Taiwan Manufacturing Firms. Economica, 68(271), 359-378. 38 Mishra, V. & Smyth, R.(2012), “ Technological Change and Wages in China: Evidence From Matched Employer-Employee Data”, Monash Economics Working Papers 28-12, Monash University, Department of Economics.1-41. Pedace, R. (2010), “Firm Size-Wage Premiums: Using Employer Data to Unravel the Mystery”, Journal of Economic Issues, Vol. XLIV, No. 1,163 181. Zhang, J. & Liu, X.(2013),“ The evolving pattern of the wage–labor productivity nexus in China: Evidence from manufacturing firm-level data”, Economic Systems,37(3),354-368. Zulkifli, N.(2012). “ Determination of the Firm-Level Wage Rate: The Role of Employer-Employee Specific Effects. ”, International Journal of Social Sciences and Humanity Studies,Vol. 4, No. 2, p.365-374. |
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