高等教育中的学生流动:西西里外流网络和链式迁移

IF 0.6 Q4 STATISTICS & PROBABILITY
V. Genova, M. Tumminello, M. Enea, F. Aiello, M. Attanasio
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引用次数: 9

摘要

意大利公立大学在一个竞争框架内获得补贴,该框架旨在奖励优秀、高效和大学吸引来自意大利以外地区学生的能力。然而,一再削减公共开支加剧了众所周知的意大利南北分歧。最重要的学生流动(SM)是从南部到中北部地区——过去十年中,西西里岛越来越多的毕业生加剧了这一现象。在本文中,我们依靠三组新生的大学入学和学生个人记录的微观数据,来调查西西里岛SM对其他地区大学的优惠模式。事实上,我们的主要目标是最终揭示连锁移民的存在,通过连锁移民,来自特定地理区域的学生走向特定目的地。根据地理位置和社会经济标准,我们考虑了38个集群,共有390个西西里市。每个队列的数据被表示为一个三方网络,有三组节点,即西西里市政当局、学生和大学的集群。三方网络被投影在集群和大学的二分加权网络中,然后对其进行过滤,以获得统计验证的二分网络(SBVN)。三个队列的SBVN表明,链迁移模式随着时间的推移而存在和演变,这也是特定于性别的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student mobility in higher education: Sicilian outflow network and chain migrations
The Italian public universities are subsidised within a competitive framework that awards excellence, efficiency, and the capacity of universities to attract students from Italian regions other than its own. However, repeated cuts to public spending has increased the well-known Italian North-South divide. The most important student mobility (SM) flow is from the Southern to the Central-Northern regions--a phenomenon that has been magnified by an increasing number of outgoing students from Sicily over the last decade. In this paper, we rely upon micro-data of university enrolment and students' personal records for three cohorts of freshmen, in order to investigate preferential patterns of SM from Sicily toward universities in other regions. Indeed, our main goal is to eventually reveal the existence of chain migrations, through which students from a particular geographical area move towards a particular destination. We consider 38 clusters aggregating the 390 Sicilian municipalities, based on geographical proximity and socio-economic criteria. The data from each cohort is represented as a tripartite network with three sets of nodes, namely, clusters of Sicilian municipalities, students, and universities. The tripartite network is projected in a bipartite weighted network of clusters and universities, which is, then, filtered, in order to obtain a statistically validated bipartite network (SBVN). The SBVNs of the three cohorts suggest the existence and evolution of chain migration patterns over time, which are also gender specific.
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CiteScore
1.40
自引率
14.30%
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