土耳其的NEET：包括失业青年、父母教育和就业状况作为决定因素的类型

IF 3.2 3区管理学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Education and Training Pub Date : 2023-07-10 DOI:10.1108/et-01-2023-0005

Büşra Yi̇ği̇t, B. Çakmak, E. Çakmak

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引用次数: 0

摘要

目的本研究的目的是提高对地中海或南欧福利国家免费教育国家中家庭作为NEET决定因素的作用的理解，以便作者能够为政策建议做出贡献，并为未来的研究提供建议。设计/方法/方法作者使用土耳其统计局（2021）的家庭劳动力统计微观数据（土耳其统计局许可证编号10484）进行多项逻辑回归。这些微观数据是2021年土耳其所有家庭的最详细数据，代表了土耳其所有家庭成员（n=635.159）和15-24岁的年轻人（n=88.974）。在关于青年的数据中，那些没有受过教育或就业的人构成了NEET样本（n=21729）。作者还使用2014-2010年家庭劳动力统计微观数据（土耳其国家统计局许可证编号3188）来解释过去几年和今天NEET状况之间的比例变化。调查结果男性的年龄因素（20-24）和长期失业以及女性的婚姻状况（已婚和离婚）对成为NEET的风险至关重要。义务教育是降低男女NEET风险的最具影响力的因素。逻辑回归模型的估计显著表明，父母教育水平的提高降低了家庭中发生NEET的概率。特别是，与父亲的教育水平相比，母亲在义务教育（大学、研究生教育）后取得的成就增加了家庭中年轻人成为NEET的概率。原创性/价值作者对这项研究做出了两个贡献。首先，作者讨论了土耳其目前的微观数据和NEET决定因素，土耳其是有限研究的主题，也是经合组织（2021）中15-29岁年龄组中NEET发病率最高的国家之一（28.7%）。其次，作者是第一个研究土耳其NEET的父母教育或就业情况的人。该研究的结果可以对土耳其和南欧福利制度国家进行比较，并通过强大的最新数据集填补土耳其NEET和父母关系文献中的空白。

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NEET in Turkey: a typology including jobless youths, parental education and employment status as determinants

PurposeThe purpose of this study is to improve understanding of the role of the family as NEET determinants in a country with free education in a Mediterranean or Southern European welfare state, so that the authors can contribute to policy recommendations and offer suggestions for future studies.Design/methodology/approachThe authors used TurkStat (2021) household workforce statistics microdata (TurkStat permit number 10484) for multinomial logistic regression. These microdata are the most detailed data representation of all households in Turkey in 2021, representing all household members (n = 635.159) and young people aged 15–24 years (n = 88.974) in Turkey. Of the data on youth, those not in education or employment constituted the NEET sample (n = 21,729). The authors also used the 2014–2020 household workforce statistics microdata (TurkStat permit number 3188) to explain the proportional changes between the status of NEETs in past years and today.FindingsThe age factor (20–24) and long-term unemployment in men and marital status (for married and divorced) in women are of critical importance for the risk of being NEET. Compulsory education is the most influential factor in reducing the risk of NEET for both genders. The estimations of logistic regression models showed significantly that the increase in the education level of parents decreased the probability of NEET in the household. In particular, the gains of mothers after compulsory education (university, postgraduate education) increased the probability of young people in the household being NEET compared to the education levels of fathers.Originality/valueThe authors make two contributions with this study. First, the authors discuss current microdata and NEET determinants in Turkey, which is the subject of limited research and has one of the highest rates of NEET in the 15–29-years age category (28.7%) in the OECD (2021). Second, the authors are the first to examine parental education or employment for NEETs in Turkey. Findings from the study allow comparison of Turkey and southern European welfare regime countries and fill the gap in the literature on NEET and parent relationship in Turkey with a strong and up-to-date dataset.

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来源期刊

Education and Training EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

7.20

自引率

13.90%

发文量

期刊介绍： Education + Training addresses the increasingly complex relationships between education, training and employment and the impact of these relationships on national and global labour markets. The journal gives specific consideration to young people, looking at how the transition from school/college to employment is achieved and how the nature of partnerships between the worlds of education and work continues to evolve. The journal explores vocationalism in learning and efforts to address employability within the curriculum, together with coverage of innovative themes and initiatives within vocational education and training. The journal is read by policy makers, educators and academics working in a wide range of fields including education, learning and skills development, enterprise and entrepreneurship education and training, induction and career development. Coverage: Managing the transition from school/college to work New initiatives in post 16 vocational education and training Education-Business partnerships and collaboration Links between education and industry The graduate labour market Work experience and placements The recruitment, induction and development of school leavers and graduates Young person employability and career development E learning in further and higher education Research news Reviews of recent publications.