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Multivariate Analysis of EU Convergence in Higher Education Services

机译:欧盟高等教育服务融合的多元分析

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The paper analyses the evolution of convergence in higher education during 2002-2013, based on previously used macroeconomic and transition indicators: Gross Domestic Product (GDP) per capita, Research and Development (R&D) investment level, government expenditure on education (% of GDP), share of exports of high-tech in total manufactured exports, costs of exploiting intellectual property. We resort to cluster analysis to identify and characterize main groups of higher education systems in Europe. Using forecasting techniques for the 2014-2020 period, we foresee the dynamics of the previously outlined clusters, and the perspectives of convergence in the near future. We analyse the factors facilitating or inhibiting convergence, and the necessary exchanges between groups of countries which are mostly prone to harmonization. The paper integrates previous studies of the authors regarding European level convergence, bringing together best practices and strategies to achieve convergence not only regionally, but also within the European higher education sector.
机译:本文基于先前使用的宏观经济和转型指标,分析了2002-2013年间高等教育融合的演变:人均国内生产总值,研究与开发投资,政府教育支出(占GDP的百分比) ),高科技产品出口在制成品总出口中所占的份额,利用知识产权的成本。我们借助聚类分析来确定和表征欧洲高等教育系统的主要群体。使用2014-2020年期间的预测技术,我们可以预见先前概述的集群的动态以及不久的将来的融合前景。我们分析了促成或抑制趋同的因素,以及最倾向于协调的国家集团之间的必要交流。本文整合了作者先前在欧洲层面融合方面的研究,汇集了最佳实践和策略,不仅实现了地区融合,而且实现了欧洲高等教育领域的融合。

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