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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 農業經濟學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15941
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor黃芳玫(Fung-Mey Huang)
dc.contributor.authorYi-Hsien Linen
dc.contributor.author林伊仙zh_TW
dc.date.accessioned2021-06-07T17:55:58Z-
dc.date.copyright2012-08-18
dc.date.issued2012
dc.date.submitted2012-08-14
dc.identifier.citation參考文獻
行政院主計處,2011。『100年青少年(15-24歲)人力資源統計題要分析』。台 北,行政院主計處。
Audas, R., Berde, E., & Dolton, P.,(2005). “Youth Unemployment and Labour Market Transitions in Hungary”, Education Economics, 13(1), 1-25.
Blazquez Cuesta, M.,(2005). “Youth Labour Market Integration in Spain: Search Time, Job Duration and Skill Mismatch,”Spanish Economic Review. 7(3): 191-208.
Coughlan, S.,(2012). “Neets 'lack skills needed for first jobs,”BBC. ( http://www.bbc.co.uk/ ) (2012, May 31).
Fernandez, C.,(2006). “The Role of Education vis-a-vis Job Experience in Explaining the Transitions to Employment in the Spanish Youth Labour Market,” Spanish Economic Review. 8(3): 161-187.
Garcia-Perez, J., & Munoz-Bullon, F.,(2011). “Transitions into Permanent Employment in Spain: An Empirical Analysis for Young Workers,” British Journal Of Industrial Relations. 49(1): 103-143.
Genda, Y.,(2007). “Jobless Youths and the NEET Problem in Japan,” Social Science Japan Journal. 10(1): 23-40.
Gregg, P. & Tominey,E.,(2005). “The wage scar from male youth unemployment,” Labour Economics. 12(4): 487-509.
Greene, W.,(2008). Econometric Analysis.Pearson : Prentice Hall.
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ILO ,(2006).Global Employment Trends For Youth. Geneva:Interational Labor Office.
ILO ,(2011).Global Employment Trends For Youth. Geneva:Interational Labor Office.
Mroz, T. A., & Savage, T. H.,(2006). “The Long-Term Effects of Youth Unemployment,”Journal Of Human Resources.41(2): 259-293.
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Padoa Schioppa, F., & Lupi, C.,(2002).“Family Income and Wealth, Youth Unemployment and Active Labour Market Policies,”International Review OfApplied Economics. 16(4): 407-416.
Rice, P.,(1999). “The Impact of Local Labour Markets on Investment in Further Education: Evidence from the England and Wales Youth Cohort Studies,”Journal Of Population Economics. 12(2): 287-312.
Riphahn, R. T.,(2002). “Residential Location and Youth Unemployment: The Economic Geography of School-to-Work Transitions,”Journal Of Population Economics. 15(1): 115-135.
Tobin, J.,(1958). “Estimation of Relationships for Limited Dependent Variables,” Econometrica. 26: 24-36.
Veum, J. R., & Weiss, A. B.,(1993). “Education and the Work Histories of Young Adults,”Monthly Labor Review. 116(4): 11-20.
Yoon, J.Y.,(2010). “NEET Population Surpasses 400,000,” The Korea Times.(http://www.koreatimes.co.kr/www/index.asp),(2012, May 31).
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15941-
dc.description.abstract近年來全球青少年「未就學未工作」之情況越來越普遍,根據國際勞工組織(ILO)在2011年所發表的「全球青少年就業趨勢」之統計資料,指出各國青少年失業率與青少年尼特族人數年年上升。觀察臺灣15-24歲青少年之勞動力參與率逐年下降,而青少年失業率則年年上升,此顯示臺灣青少年亦存在「未就學未工作」之情況。為研究青少年「未就學未工作」之成因,本文同時採用「臺灣青少年成長歷程研究」(Taiwan Youth Project,簡稱TYP)自2000開始調查之國一與國三學生樣本,追蹤其在19-24時期的就學與就業行為,試圖探討影響臺灣19-24歲青少年就學與工作之決策因子與其「未就學未工作」之成因,並進一步討論這些因子對青少年「未就學未工作」持續期間之影響。
實證研究結果顯示,在個人特質方面,青少年為男性、曾輟學、就讀職業學校以及學業成績表現不佳,其成為「未就學未工作」狀態之可能性提高,且近一步發現男性、曾經輟學以及學業成績表現不佳,會延長其在19-22歲之「未就學未工作」持續期間。而家庭背景部分,父母婚姻不完整以及父親教育程度高之青少年則較容易選擇就學或工作狀態,較不容易成為「未就學未工作」狀態,但家庭背景對青少年「未就學未工作」持續期間長短則無顯著影響。
zh_TW
dc.description.abstractIn recent years,the number of youths who were school nonenrolled and nonemployed increased substantially. According to the report of International Labor Organization (ILO),“Global Employment Trends for Youth”in August 2011,the unemployment rates of youths and the number of youth NEETs (not in employment , education or training) were increasing globally. In the case of Taiwan, the labor force participation rates of youths aged 15-24 were declining, and their unemployment rates were rising since 1990. This studytends to investigate the school enrollment and employment behaviors of Taiwanese youths during ages of 19-24, and further examines their school non-enrolled and non-employed behaviors by using a panel data set – Taiwan Youth Project. The impacts of individual and family characteristics on the durations of school non-enrollment and non-employmentduring the ages of 19-24 are one of the focus in this study.
Our results indicate that male, high school dropouts from high-school, and youths with low academic scores in junior middle school, were more likely to be school non-enrollment and non-employment. Male, high-school dropouts and youths with low academic score had longer periods of the school non-enrollment and non-employment. Youths who came from non-intact or single-parent families were less likely to be school non-enrollment and non-employment.
en
dc.description.provenanceMade available in DSpace on 2021-06-07T17:55:58Z (GMT). No. of bitstreams: 1
ntu-101-R99627016-1.pdf: 980409 bytes, checksum: dcd36c0c9bb4a739524889b53f4784b3 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents目錄
第一章 緒論 1
第一節 研究動機 1
第二節 臺灣15-24歲青少年概況 5
第三節 研究目的 9
第四節 研究架構 10
第二章 文獻回顧 11
第三章 資料與基本統計量 22
第一節 資料來源 22
第二節 資料處理與說明 25
第三節 基本統計量 33
第四章 實證模型 44
第一節 就學、工作決策行為:Bivariate Probit Model 44
第二節 未就學未工作持續期間:Tobit Model 49
第五章 實證分析 52
第一節 各年齡就學與工作決策之實證結果 52
第二節 「未就學未工作」之估計結果 70
第六章 結論 74
參考文獻 77
附錄一 各解釋變數說明表 79
附錄二 20、22、24歲基本統計量表 83
dc.language.isozh-TW
dc.title臺灣青少年非就學與非就業行為之研究zh_TW
dc.titleThe Analysis of Non-enrollment and Non-employment on Taiwan's Youthen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳香如(Stacey H. Chen),陶宏麟(Hung-Lin Tao)
dc.subject.keyword青少年失學,青少年失業,雙元Probit模型,Tobit模型,zh_TW
dc.subject.keywordyouth,school non-enrollment,non-employment,bivariate probit model,tobit model,en
dc.relation.page85
dc.rights.note未授權
dc.date.accepted2012-08-15
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept農業經濟學研究所zh_TW
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