Abstract The aim of this paper is to offer an empirical insight into the spatial effects of growth of regional income and disparities across EU regions (NUTS 2). Since regions are spatial units and there are interrelated standard linear regression is not sufficient to evidence the convergence process. Two models (Spatial Lag Model – SLM and Spatial Error model – SEM), derived from spatial econometrics, have been used to identify and explain spatial effects in convergence clubs—all EU countries (EU-28), countries that entered the EU in 2004 (EU-13) and countries that were in EU prior to 2004 (EU-15). Unconditional and conditional β-convergence has been examined in the period 2000-2015 thus covering two financial perspectives (including n + 2 rule3). Dummy variables have been also applied to catch the country-specific effects, such as national policies, legislation, technology progress, etc.

中文翻译：

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欧盟地区人均GDP趋同-空间效应

摘要本文的目的是提供一个经验性的见解，以了解欧盟地区区域收入增长和差距的空间效应（NUTS 2）。由于区域是空间单位，并且存在相互关联的标准线性回归不足以证明收敛过程。来自空间计量经济学的两个模型（空间滞后模型– SLM和空间误差模型– SEM）已被用于识别和解释会聚俱乐部中的空间效应-所有欧盟国家（EU-28），以及2004年加入欧盟的国家（EU-13）和2004年之前位于欧盟的国家（EU-15）。在2000年至2015年期间研究了无条件和有条件的β收敛，因此涵盖了两种财务观点（包括n + 2规则3）。虚拟变量也已应用于捕捉特定国家/地区的影响，