Why so Few Women in the Labor Market in Turkey?

İlkkaracan, İpek

doi:10.1080/13545701.2011.649358

Cited by 174 publications

(68 citation statements)

References 18 publications

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“…Bu çalışmalar eğitim düzeyi, medeni durum, ülke ekonomisinin içinde bulunduğu ekonomik konjonktür ve sosyo-kültürel unsurlar gibi birçok faktörle kadınların ekonomik hayata katılım kararları arasındaki ilişkiyi araştırmıştır (bkz. Tansel, 2002;Özer, Biçerli, 2003;İnce, Demir, 2006;Doğrul, 2008;Uraz vd., 2010;Dayıoğlu, Kırdar, 2010;Taymaz, 2010;Karaoğlan, Ökten, 2012;İlkkaracan, 2012;Yamak vd., 2012;Kızılgöl, 2012;Er, 2013;Kılıç, Öztürk, 2014;Çatalbaş, 2015). Bunların içinden sadece Er (2013) ve Çatalbaş (2015) bu konuyu bölgesel düzeyde ele almış diğerleri ise ulusal düzeyde analizler yapmışlardır.…”

Section: Introductionunclassified

“…Türkiye'de ulusal düzeyde analizler gerçekleştiren çalışmaların önemli bir bölümü (Doğrul, 2008;Uraz vd., 2010;Dayıoğlu, Kırdar, 2010;Taymaz, 2010;Karaoğlan, Ökten, 2012;İlkkaracan, 2012;Yamak vd., Kızılgöl, 2012;Kılıç, Öztürk, 2014) mikro veri setini kullanarak ampirik analizlerini gerçekleştirirken; az sayıdaki çalışma da (Tansel, 2002;Özer, Biçerli, 2003;İnce, Demir, 2006) makro veri seti ile analizlerini gerçekleştirmiştir. Moulton (1990) anket yoluyla elde edilmiş mikro verilerin, hata terimlerinin bağımsız dağıldığı varsayımına dayanan ekonometrik yöntemlerle analiz edilmesi halinde hata terimlerinin sapmalı olacağını iddia etmektedir.…”

Section: Introductionunclassified

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Türki̇ye’de Kadinlarin Bölgesel İşgücüne Katiliminin Beli̇rleyi̇ci̇leri̇

Güçlü¹

2017

Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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The aim of this study is to find out the determinants of female regional labour force participation in Turkey. To that end, the spatial panel regression models are estimated for the period of 2008-2013 by using the macro data set of 26 NUTS-2 regions. The empirical results suggest that the determinants are education, marital status, youth dependency ratio, migration and unemployment rate. In addition to these findings, our study has two other contributions. Firstly, it is detected that there is a spatial dependence among the regions. In other words, it is discovered that labour force participation rate in a region is also affected by that of other regions. Secondly, the spillover effects of the explanatory variables are also estimated. Hereby, the impacts of the factors, which determine labour force participation rate in a region, both on that region and neighbouring regions, are obtained individually.

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Section: Introductionunclassified

Türki̇ye’de Kadinlarin Bölgesel İşgücüne Katiliminin Beli̇rleyi̇ci̇leri̇

Güçlü¹

2017

Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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“…7 After three decades of structural adjustment, the urban women's labour force participation is only at 22%, much lower than other low-and middleincome countries outside Middle East and North Africa (MENA). 8 This picture changes somewhat in the textile and garment sectors in which women's labour force participation is at 37%, and 40% only in the garment sector, 9 Turkey's most successful export sector. To survive under the pressure of global competition, export-oriented subcontracting networks and arrangements in garment industry rely on cheap female labour organised around kinship networks in the peripheries of urban centres.…”

Section: Introductionmentioning

confidence: 99%

The gendered workplaces of women garment workers in Istanbul

Can

2017

Reproductive Health Matters

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Drawing on 20 semi-structured interviews with women garment workers in a low-income neighbourhood of Istanbul, and observations in the ateliers where they worked, this article examines their work experiences in the gendered and sexualised work atmosphere of garment workshops. There are three interrelated levels upon which the gender-related issues emerge in women garment workers' stories. The first set of discourses portrays young female garment workers in highly sexualised terms, and the second concerns the use of kinship vocabulary and avoidance of impersonal work relationships. That is, women workers' experiences in capitalist production sites were trivialised and regulated through the sexualisation of their bodies and the deployment of kinship idioms while addressing their role at the workplace. The third level analyses women's submissive, subversive or contradictory responses to these gendered disciplinary techniques and representations, i.e. the construction of their subjectivities. These three levels point to two things: first, cultural presumptions about marriage, women's sexuality and reproductive cycles are materialised at the workplace. Second, gendered instantiations of these presumptions in a specific work environment are both informed by their familial roles (such as daughter, wife, mother, widowed) and inform their future reproductive preferences (whether they marry, have a child, get a divorce, etc.). This article shows how the ways in which women's difference is construed and acted upon in the garment industry are inseparable from women's reproductive decisions.

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“…These studies focus on development strategies, labour market adjustments and wage gaps between women and men (Çağatay and Özler 1995;Başlevent and Onaran 2004;Wanjala and Were 2009;İlkkaracan 2012). Over the last few decades, many export-oriented and rapidly growing developing countries have seen enormous expansion of informal, vulnerable job sectors that attract significant numbers of female employees (Berik et al 2009).…”

Section: Gender Inequalities and Economic Developmentmentioning

confidence: 99%

Does Gender Equality Lead to Better-Performing Economies A Bayesian Causal Map Approach

Yücel¹,

Ekici²

2017

dogus

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This study explores the existence of relationships between gender inequalities -represented by the components of the World Economic Forum (WEF) Global Gender Gap Index-and the major macroeconomic indicators. The relationships within gender inequalities in education, the labour market, health and the political arena, and between gender inequalities and gross macroeconomic aggregates were modelled with the Bayesian Causal Map, an effective tool that is used to analyze cause-effect relations and conditional dependencies between variables. A data set of 128 countries during the period 2007-2011 is used. Findings reveal that some inequalities have high levels of interaction with each other. In addition, eradicating gender inequalities is found to be associated with better economic performance, mainly in the form of higher gross domestic product growth, investment, and competitiveness.

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Why so Few Women in the Labor Market in Turkey?

Cited by 174 publications

References 18 publications

Türki̇ye’de Kadinlarin Bölgesel İşgücüne Katiliminin Beli̇rleyi̇ci̇leri̇

Türki̇ye’de Kadinlarin Bölgesel İşgücüne Katiliminin Beli̇rleyi̇ci̇leri̇

The gendered workplaces of women garment workers in Istanbul

Does Gender Equality Lead to Better-Performing Economies A Bayesian Causal Map Approach

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