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國立臺灣大學社會科學院

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【活動資訊】2/9、2/13全球福利體制講座:Introduction to Social Assistance Systems in United Arab Emirates (UAE) and South Africa

本研究於二月份舉辦兩場次全球福利體制系列講座,介紹阿拉伯聯合大公國及南非的社會救助體系及相關重要研究成果,歡迎有興趣者共同參與交流。詳細活動如下:

 

〔場次一〕United Arab Emirates (UAE)

(一)時間:2023/02/09(四)20:00-21:00

(二)地點:活動線上進行,無需報名,歡迎直接加入

活動連結:https://us06web.zoom.us/j/4418163238?pwd=WDZ4NzF4aUZZZFJvU0wzbjVDcE11Zz09

Zoom Meeting ID:441 816 3238

Passcode:LYV9xB

(三)講者:Dr. Tatiana Karabchuk (Associate Professor, Department of Government and Society, UAE University)

(四)主持:臺大社工系 汪書華 副教授

 

講者介紹:

Dr. Tatiana Karabchuk (UAE University) has research interests in cross-national comparative surveys, happiness and subjective well-being studies, studies of the labor market, social media, youth studies, family and fertility, values and gender equality attitudes. Previously Tatiana worked at the National Research University Higher School of Economics. Tatiana was a visiting researcher at IOS Regensburg (Germany), GESIS EUROLAB (Germany), the Population Centre of the University of North Carolina (USA), at Institute for Economic Research at Hitotsubashi University (Japan), and at the Institute for Survey Research at the University of Michigan (USA).

 

演講內容:

Continuously low fertility rates in many Asian and European countries generate an interest in understanding the fertility attitudes of young adults—and the implications for family policies. The causal impact of socioeconomic and cultural factors on the ideal number of children for couples described in the vignettes was tested using a factorial survey experiment (vignette analysis). Data were collected from Germany, Japan, Russia, Ukraine, and the United Arab Emirates (UAE) to represent five different contexts each with different economies, political regimes, cultural and religious backgrounds, and population structures. Seven vignette-level and four respondent-level factors were assumed to affect the conditional ideal number of children. The strongest predictors of the higher ideal number of children for couples described in the vignettes were income, availability of childcare, and the husband’s full employment. The highest average ideal number of children for described couples was observed in the UAE (2.8 children), followed by Germany (1.6 children), Ukraine and Russia (1.3 children), and Japan (1.2 children). The existing gap between public attitudes and fertility behaviors could be addressed by child-friendly policies which allow a better reconciliation of work and family life.

 

 

〔場次二〕South Africa

(一)時間:2023/02/13(一)20:00-21:00

(二)地點:活動線上進行,無需報名,歡迎直接加入

活動連結:https://us06web.zoom.us/j/4418163238?pwd=WDZ4NzF4aUZZZFJvU0wzbjVDcE11Zz09

Zoom Meeting ID:441 816 3238

Passcode:LYV9xB

(三)講者:Dr. Ndangwa Noyoo (Professor, Department of Social Development, the University of Cape Town)

(四)主持:臺大社工系 汪書華 副教授

 

講者介紹:

Dr. Ndangwa Noyoo is a Professor at the University of Cape Town (UCT). He holds a Doctor of Philosophy (Ph.D) from the University of the Witwatersrand, Master of Philosophy (MPhil) in Development Studies from the University of Cambridge and Bachelor of Social Work (BSW) from the University of Zambia. He was employed by the South African Government in the Department of Social Development as a Chief Director/Social Policy Specialist. He was also a postdoctoral fellow at the Fondation Maison des Sciences de l’Homme (FMSH) Paris, France.

 

演講內容:

This presentation is two-pronged. First it looks at the evolution of the social assistance programme in South Africa in the democratic dispensation, whilst not losing sight of the critical antecedents which gave birth to social assistance during the colonial-apartheid era. The second part of the presentation argues for a stronger policy and programmatic co-ordination for better family outcomes. Since families are already targeted by a plethora of government interventions, what seems to be weak is the former and policy implementation.

 

※注意事項:本演講以英文進行。

※本講座由國家科學及技術委員會經費贊助(111-2628-H-002-020-)。

※2023年春季全球福利體制系列講座請上臉書頁面https://www.facebook.com/people/Global-Welfare-Research/100083190949048/