Identifying and Interpreting Regional Convergence Clusters Across Europe
利用多元平稳性检验和配对比较方法，内生识别欧盟区域收敛集群，并检验其与多种区域增长理论假设的匹配度，集群构成可随时间变化。
In this paper we test for regional convergence clusters across the EU. We utilise a methodology that allows for the endogenous selection of regional clusters using a multivariate test for stationarity, where the number and composition of clusters are determined by the application of pairwise tests of regional differences in per capita output over time. To interpret the composition of the resulting convergence clusters, the latter are tested against a number of possible groupings suggested by recent theories and hypotheses of regional growth and convergence. Further, our method allows regional convergence clusters to vary over time.