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題名 台灣基本工資與一般工資關係之研究
The Study of Relationship between Basic Wage and General Wages in Taiwan
作者 黃俊傑
Huang, Jyun-Jie
貢獻者 黃仁德<br>蕭明福
黃俊傑
Huang, Jyun-Jie
關鍵詞 基本工資
一般工資
共整合分析
向量誤差修正模型
Basic wage
General wages
Cointegration
Vector error correction model
日期 2023
上傳時間 2-Aug-2023 13:41:13 (UTC+8)
摘要 在薪資成長緩慢的現今社會,基本工資是否可用以推升一般工資水準,是大家所關心的一個議題,值得吾人對其進行探討。本文針對2006至2021年基本工資頻繁調整的這段時間,計量分析基本工資調整對各產業一般工資的影響。我們將產業分為全體非農產業、工業及其細項產業、及服務業及其細項產業,一共13種產業,各產業一般工資為被解釋變數,基本工資、失業率、消費者物價指數、及勞動生產力指數為解釋變數,以共整合分析、向量誤差修正模型、及格蘭傑因果檢定,探究一般工資與基本工資之間的長、短期關係及因果關係。共整合分析估計結果顯示,基本工資調升僅對低薪或是相對低薪產業(住宿及餐飲業、批發及零售業、支援服務業)的一般工資有推升效果,對大多數的高薪、全體非農產業、及工業的一般工資不具推升效果。向量誤差修正模型估計結果顯示,當一般工資偏離長期均衡值時,除了少數產業 (營建工程業、服務業、運輸及倉儲業、醫療及社工業) 外,大多數產業的一般工資皆會向基本工資等解釋變數所決定的長期均衡值收斂、調整。格蘭傑因果檢定結果顯示,除了金融及保險業為雙向因果關係外,其他產業的一般工資與基本工資皆不存在互為因果的關係。
本文的實證結果顯示,基本工資的調升將會推升低薪產業的一般工資,但對於高薪產業、工業、及全體非農產業的一般工資則無顯著的影響,這樣的結果與大多數國內外的研究結果是相符的。準此,我國政府可以基本工資為政策工具來推升低薪產業的工資水準,但對於全體非農產業工資的提升,單靠基本工資的調整恐力有未逮。
In today’s society, where salary growth is slow, the question of whether the basic wage can be used to boost the general wage level is a topic of concern for many people. This study focuses on the period from 2006 to 2021, during which the basic wage was frequently adjusted, and quantitatively analyzes the impact of basic wage adjustments on the general wages of various industries. We use thirteen industries, including all non-agricultural industries, industrial sectors and their sub-sectors, and service industries and their sub-sectors. The general wage in each industry is the dependent variable, while the basic wage, unemployment rate, consumer price index, and labor productivity index are the independent variables. We employ cointegration analysis, vector error correction models, and Granger causality tests to explore the long-term and short-term relationships as well as causal relationships between general wages and the basic wage.
The results of the cointegration analysis show that basic wage adjustments only have a positive effect on the general wages of low-wage or relatively low-wage industries, but they do not have a significant impact on the general wages of most high-wage industries, all non-agricultural industries, and the industrial sector. The results of the vector error correction models indicate that when general wages deviate from their long-term equilibrium value, except for a few industries, the general wages of most industries will converge and adjust towards the long-term equilibrium value determined by the independent variables, including the basic wage. The results of the Granger causality tests indicate that except for the finance and insurance industry, which exhibits a bidirectional causal relationship, there is no causal relationship between general wages and the basic wage in other industries.
The empirical results of this study demonstrate that raising the basic wage will increase the general wages of low-wage industries, but it has no significant impact on the general wages of high-wage industries, the industrial sector, and all non-agricultural industries. This finding is consistent with the majority of domestic and international research results. Therefore, the government can use the basic wage as a policy tool to raise the wage levels in low-wage industries, but relying solely on basic wage adjustments may not be sufficient to improve the wages level in all non-agricultural industries.
參考文獻 吳惠林(1998),《1998年基本工資經濟效果評估》。台北: 行政院勞工委員會。
吳榮義、林忠正、陳淑美 (1991),《基本工資之調整評估及近年來薪資與生產力互動關係之研究》。台北: 行政院勞工委員會。
莊美娟(1996),〈台灣地區工資壓力與勞力短缺問題之研究〉,國立政治大學勞工研究所碩士論文。
黃仁德 (2001),《九十年基本工資經濟效果評估》。台北: 行政院勞工委員會。
黃仁德 (1995),〈台灣地區基本工資對勞動市場的衝擊效果評估〉,《勞資關係論叢》,3,頁29-56。
楊子霆(2018),〈經濟成長、薪資停滯?初探台灣實質薪資與勞動生產力成長脫勾之成 因〉,《經濟論文》,46:2,頁263-322。
劉泰英、王琬貞、鄭政秉 (1992),《基本工資之調整評估及勞動力與薪資、基本工資互動關係之研究》。台北: 行政院勞工委員會。
Ahlfeldt, G. M., R. Duncan, and S. Tobias (2018), “The Regional Effects of Germany’s National Minimum Wage,” Economics Letters, 172:1, pp. 127-130.
Autor, D. H., A. Manning, and C. L. Smith ( 2016), “The Contribution of the Minimum Wage to US Wage Inequality over Three Decades: A Reassessment,” American Economic Journal: Applied Economics, 8:1, pp. 58-99.
Baskaya, Y. S. and Y. Rubinstein (2012), “Using Federal Minimum Wages to Identify the Impact of Minimum Wages on Employment and Earnings Across U.S. States,” https://www.ed.ac.uk/sites/default/files/atoms/files/brmw_yrubinstein.pdf
Bhorat, H., R. Kanbur, and N. Mayet (2013), “The Impact of Sectoral Minimum Wage Laws on Employment, Wages, and Hours of Work in South Africa,” working paper , NO. 180096, Department of Applied Economics and Management, Cornell University.
Boeri, T., P. Garibaldi, and M. Ribeiro (2011), “The Lighthouse Effect and Beyond,” Review of Income and Wealth, 57:1, pp. 54-78.
Bossler, M. and H. D. Gerner (2020), “Employment Effects of the New German MinimumWage: Evidence from Establishment-Level Microdata,” Industrial and Labor Relations Review, 73:5, pp. 1070-1094.
Budd, J. W. and Y. Nho (1997), “Testing for a Structural Change in U.S. Wage Determination,” Industrial Relations, 36:2, pp. 160-177.
Card, D. and A. B. Krueger (1994), “Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania,” American Economic Review, 84:4, pp. 772-793.
Carneiro, F. G. and J. R. Faria (1997), “ Causality between the Minimum Wage and Other Wages,” Applied Economics Letters, 4:8, pp. 507-510.
Cengiz, D., A. Dube, A. Lindner, and B. Zipperer (2019), “The Effect of Minimum Wages on Low-Wage Jobs,” Quarterly Journal of Economics, 134:3, pp. 1405-1454.
Clark, J. (1899), The Distribution of Wealth. New York: Macmillan.
Clemens, J. and M. Wither (2019), “The Minimum Wage and the Great Recession: Evidence of Effects on the Employment and Income Trajectories of Low-Skilled Workers,” Journal of Public Economics, 170:3, pp. 53-67.
Dinkelman, T. and V. Ranchhod (2012), “Evidence on the Impact of Minimum Wage Laws in an Informal Sector: Domestic Workers in South Africa,” Journal of Development Economics, 99:1, pp. 27-45.
Doeringer, P. B. and M. J. Piore (1971), “Internal Labor Markets and Manpower Analysis, Routledge,” https://doi.org/10.4324/9781003069720.
Dube, A., T. W. Lester, and M. Reich (2010), “Minimum Wage Effects Across State Borders: Estimates Using Contiguous Counties,” Review of Economics and Statistics, 92:4, pp. 945-964.
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Fang, T. and C. Lin (2015), “Minimum Wages and Employment in China,” IZA Journal of Labor Policy, 4:1, pp. 1-30.
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Friedman, M. (1968), “The Role of Monetary Policy,” American Economic Review, 58:1, pp. 1-17.
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Lopresti, J. W. and K. J. Mumford (2016), “Who Benefits from a Minimum Wage Increase,” Industrial and Labor Relations Review, 69:5, pp. 1171-1190.
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描述 碩士
國立政治大學
經濟學系
109258033
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109258033
資料類型 thesis
dc.contributor.advisor 黃仁德<br>蕭明福zh_TW
dc.contributor.author (Authors) 黃俊傑zh_TW
dc.contributor.author (Authors) Huang, Jyun-Jieen_US
dc.creator (作者) 黃俊傑zh_TW
dc.creator (作者) Huang, Jyun-Jieen_US
dc.date (日期) 2023en_US
dc.date.accessioned 2-Aug-2023 13:41:13 (UTC+8)-
dc.date.available 2-Aug-2023 13:41:13 (UTC+8)-
dc.date.issued (上傳時間) 2-Aug-2023 13:41:13 (UTC+8)-
dc.identifier (Other Identifiers) G0109258033en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146470-
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) 109258033zh_TW
dc.description.abstract (摘要) 在薪資成長緩慢的現今社會,基本工資是否可用以推升一般工資水準,是大家所關心的一個議題,值得吾人對其進行探討。本文針對2006至2021年基本工資頻繁調整的這段時間,計量分析基本工資調整對各產業一般工資的影響。我們將產業分為全體非農產業、工業及其細項產業、及服務業及其細項產業,一共13種產業,各產業一般工資為被解釋變數,基本工資、失業率、消費者物價指數、及勞動生產力指數為解釋變數,以共整合分析、向量誤差修正模型、及格蘭傑因果檢定,探究一般工資與基本工資之間的長、短期關係及因果關係。共整合分析估計結果顯示,基本工資調升僅對低薪或是相對低薪產業(住宿及餐飲業、批發及零售業、支援服務業)的一般工資有推升效果,對大多數的高薪、全體非農產業、及工業的一般工資不具推升效果。向量誤差修正模型估計結果顯示,當一般工資偏離長期均衡值時,除了少數產業 (營建工程業、服務業、運輸及倉儲業、醫療及社工業) 外,大多數產業的一般工資皆會向基本工資等解釋變數所決定的長期均衡值收斂、調整。格蘭傑因果檢定結果顯示,除了金融及保險業為雙向因果關係外,其他產業的一般工資與基本工資皆不存在互為因果的關係。
本文的實證結果顯示,基本工資的調升將會推升低薪產業的一般工資,但對於高薪產業、工業、及全體非農產業的一般工資則無顯著的影響,這樣的結果與大多數國內外的研究結果是相符的。準此,我國政府可以基本工資為政策工具來推升低薪產業的工資水準,但對於全體非農產業工資的提升,單靠基本工資的調整恐力有未逮。
zh_TW
dc.description.abstract (摘要) In today’s society, where salary growth is slow, the question of whether the basic wage can be used to boost the general wage level is a topic of concern for many people. This study focuses on the period from 2006 to 2021, during which the basic wage was frequently adjusted, and quantitatively analyzes the impact of basic wage adjustments on the general wages of various industries. We use thirteen industries, including all non-agricultural industries, industrial sectors and their sub-sectors, and service industries and their sub-sectors. The general wage in each industry is the dependent variable, while the basic wage, unemployment rate, consumer price index, and labor productivity index are the independent variables. We employ cointegration analysis, vector error correction models, and Granger causality tests to explore the long-term and short-term relationships as well as causal relationships between general wages and the basic wage.
The results of the cointegration analysis show that basic wage adjustments only have a positive effect on the general wages of low-wage or relatively low-wage industries, but they do not have a significant impact on the general wages of most high-wage industries, all non-agricultural industries, and the industrial sector. The results of the vector error correction models indicate that when general wages deviate from their long-term equilibrium value, except for a few industries, the general wages of most industries will converge and adjust towards the long-term equilibrium value determined by the independent variables, including the basic wage. The results of the Granger causality tests indicate that except for the finance and insurance industry, which exhibits a bidirectional causal relationship, there is no causal relationship between general wages and the basic wage in other industries.
The empirical results of this study demonstrate that raising the basic wage will increase the general wages of low-wage industries, but it has no significant impact on the general wages of high-wage industries, the industrial sector, and all non-agricultural industries. This finding is consistent with the majority of domestic and international research results. Therefore, the government can use the basic wage as a policy tool to raise the wage levels in low-wage industries, but relying solely on basic wage adjustments may not be sufficient to improve the wages level in all non-agricultural industries.
en_US
dc.description.tableofcontents 摘要 ii
Abstract iii
目次 iv
表次 v
第一章 緒論 1
第二章 文獻回顧 4
第三章 台灣基本工資的調整與一般工資的變化 9
第一節 基本工資調整沿革 9
第二節 基本工資調整後各產業工資與受僱勞工人數的變化 9
第四章 實證模型 18
第五章 實證過程與結果 22
第一節 資料來源與特性 22
第二節 實證過程與結果 25
一、單根檢定 26
二、遞延期數選定 29
三、共整合迴歸結果 29
四、向量誤差修正模型估計結果 47
五、向量誤差修正模型下的格蘭傑因果關係檢定 53
第六章 結論 55
參考文獻 57
zh_TW
dc.format.extent 3136086 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109258033en_US
dc.subject (關鍵詞) 基本工資zh_TW
dc.subject (關鍵詞) 一般工資zh_TW
dc.subject (關鍵詞) 共整合分析zh_TW
dc.subject (關鍵詞) 向量誤差修正模型zh_TW
dc.subject (關鍵詞) Basic wageen_US
dc.subject (關鍵詞) General wagesen_US
dc.subject (關鍵詞) Cointegrationen_US
dc.subject (關鍵詞) Vector error correction modelen_US
dc.title (題名) 台灣基本工資與一般工資關係之研究zh_TW
dc.title (題名) The Study of Relationship between Basic Wage and General Wages in Taiwanen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 吳惠林(1998),《1998年基本工資經濟效果評估》。台北: 行政院勞工委員會。
吳榮義、林忠正、陳淑美 (1991),《基本工資之調整評估及近年來薪資與生產力互動關係之研究》。台北: 行政院勞工委員會。
莊美娟(1996),〈台灣地區工資壓力與勞力短缺問題之研究〉,國立政治大學勞工研究所碩士論文。
黃仁德 (2001),《九十年基本工資經濟效果評估》。台北: 行政院勞工委員會。
黃仁德 (1995),〈台灣地區基本工資對勞動市場的衝擊效果評估〉,《勞資關係論叢》,3,頁29-56。
楊子霆(2018),〈經濟成長、薪資停滯?初探台灣實質薪資與勞動生產力成長脫勾之成 因〉,《經濟論文》,46:2,頁263-322。
劉泰英、王琬貞、鄭政秉 (1992),《基本工資之調整評估及勞動力與薪資、基本工資互動關係之研究》。台北: 行政院勞工委員會。
Ahlfeldt, G. M., R. Duncan, and S. Tobias (2018), “The Regional Effects of Germany’s National Minimum Wage,” Economics Letters, 172:1, pp. 127-130.
Autor, D. H., A. Manning, and C. L. Smith ( 2016), “The Contribution of the Minimum Wage to US Wage Inequality over Three Decades: A Reassessment,” American Economic Journal: Applied Economics, 8:1, pp. 58-99.
Baskaya, Y. S. and Y. Rubinstein (2012), “Using Federal Minimum Wages to Identify the Impact of Minimum Wages on Employment and Earnings Across U.S. States,” https://www.ed.ac.uk/sites/default/files/atoms/files/brmw_yrubinstein.pdf
Bhorat, H., R. Kanbur, and N. Mayet (2013), “The Impact of Sectoral Minimum Wage Laws on Employment, Wages, and Hours of Work in South Africa,” working paper , NO. 180096, Department of Applied Economics and Management, Cornell University.
Boeri, T., P. Garibaldi, and M. Ribeiro (2011), “The Lighthouse Effect and Beyond,” Review of Income and Wealth, 57:1, pp. 54-78.
Bossler, M. and H. D. Gerner (2020), “Employment Effects of the New German MinimumWage: Evidence from Establishment-Level Microdata,” Industrial and Labor Relations Review, 73:5, pp. 1070-1094.
Budd, J. W. and Y. Nho (1997), “Testing for a Structural Change in U.S. Wage Determination,” Industrial Relations, 36:2, pp. 160-177.
Card, D. and A. B. Krueger (1994), “Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania,” American Economic Review, 84:4, pp. 772-793.
Carneiro, F. G. and J. R. Faria (1997), “ Causality between the Minimum Wage and Other Wages,” Applied Economics Letters, 4:8, pp. 507-510.
Cengiz, D., A. Dube, A. Lindner, and B. Zipperer (2019), “The Effect of Minimum Wages on Low-Wage Jobs,” Quarterly Journal of Economics, 134:3, pp. 1405-1454.
Clark, J. (1899), The Distribution of Wealth. New York: Macmillan.
Clemens, J. and M. Wither (2019), “The Minimum Wage and the Great Recession: Evidence of Effects on the Employment and Income Trajectories of Low-Skilled Workers,” Journal of Public Economics, 170:3, pp. 53-67.
Dinkelman, T. and V. Ranchhod (2012), “Evidence on the Impact of Minimum Wage Laws in an Informal Sector: Domestic Workers in South Africa,” Journal of Development Economics, 99:1, pp. 27-45.
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