文章基本信息

标题：Productivity clustering and growth in Central and Eastern Europe
本地全文：下载
作者：Mihai Niţoi ; Maria Miruna Pochea
期刊名称：Baltic Journal of Economics
印刷版ISSN：1406-099X
出版年度：2016
卷号：16
期号：2
页码：132-151
DOI：10.1080/1406099X.2016.1189267
出版社：EuroBaltic Centres of Excellence; CEEOL
摘要：ABSTRACT This article uses a non-linear time-varying model to test productivity convergence in 10 emerging countries within Central and Eastern Europe. The results show that the convergence algorithm has rejected the null hypothesis of convergence for all countries in most of the sectors. Also, we found evidence that the productivity clusters for total economy and other sectors are very different in terms of number and countries. Additionally, even if the productivity gaps in the region have been reduced, we still notice significant disparities between countries. The clustering algorithm shows countries which have a high productivity growth in some sectors and a low productivity growth in others. This reveals the prevalence of idiosyncratic factors in productivity determinants. Baltic countries are catching up, while other countries such as Bulgaria are underperformers.
关键词：Labour productivity ; panel convergence methodology ; CEE countries ; sectoral trends