The Persistent Legacy of the Fallen Empires. Assessing the Effects of Poland's Historical Partitions on Contemporary Social Norms Regarding Education

IF 0.5 Q4 ECONOMICS
M. Herbst
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引用次数: 1

Abstract

Abstract This paper refers to the historical experience of Poland in order to demonstrate the importance of former institutions on present regional differences in the norms regarding education. Previous studies revealed significant discrepancies between the scholastic achievements of students in different regions in Poland, ones that correspond to the partition of the country by its three neighbours (Austria, Prussia, and Russia), lasting from the late 18th century to the close of WWI. In particular, students in the former Austrian partition perform better than their peers in the two other regions. In this study, a self-designed survey of parents is used to operationalize different kinds of norms regarding education. As it turns out, parents from the region formerly under Austrian rule show more trust in educational institutions, more belief in the formative role of schooling, and less conviction in the material returns from education. The results show that contemporary discussions on the geography of educational achievements need to take into account the broad cultural context of education.
堕落帝国的持久遗产。评估波兰历史分割对当代教育社会规范的影响
摘要本文以波兰的历史经验为依据,论证了前教育机构对当前地区教育规范差异的重要性。先前的研究表明,波兰不同地区学生的学业成就之间存在显著差异,这种差异与波兰被三个邻国(奥地利、普鲁士和俄罗斯)瓜分相对应,这种差异从18世纪末持续到第一次世界大战结束。特别是,前奥地利分治地区的学生比其他两个地区的同龄人表现得更好。本研究采用自行设计的调查问卷,对不同类型的教育规范进行操作。事实证明,来自前奥地利统治地区的父母更信任教育机构,更相信学校教育的形成作用,而不太相信教育的物质回报。研究结果表明,当代关于教育成果地理学的讨论需要考虑到广泛的教育文化背景。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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