Detecting geographical patterns in the EU’s interregional flows: A multilayer hierarchical approach

Dimitrios Tsiotas , Vassilis Tselios
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Abstract

This paper develops a multilayer statistical model to examine geographical patterns of different types of interregional flows within the European Union (EU). The results first reveal the success story of the EU regarding the goal of territorial cohesion in the flow of people. Next, they capture a differential level of each type of interregional flows contribution to the overall market, where flows of capital prevail and knowledge flows lag. The analysis also reveals a diversified degree of cohesion in the interregional flows market describing Germany, the United Kingdom, the “blue banana” regions, the Central and West Europe’s coastal regions, and the East Europe’s regions. Although the EU’s path to regional development looks in the right direction, there is evidence that “borders still matter”, equipping economic geographers and policymakers with an instrumented approach for modeling and evaluating the integration of spatial economies.

检测欧盟地区间流动的地理模式:多层分级方法
本文建立了一个多层统计模型,以研究欧洲联盟(欧盟)内部不同类型区域间流动的地理模式。研究结果首先揭示了欧盟在人员流动的地域凝聚力目标方面的成功经验。其次,它们反映了每种类型的区域间流动对整个市场的贡献程度不同,其中资本流动占主导地位,而知识流动滞后。分析还揭示了德国、英国、"蓝香蕉 "地区、中欧和西欧沿海地区以及东欧地区在地区间人流市场中的不同凝聚力程度。尽管欧盟的区域发展道路看起来方向正确,但有证据表明 "边界仍然重要",这为经济地理学家和政策制定者提供了模拟和评估空间经济一体化的工具方法。
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