Left-behind places in central and eastern Europe—labour productivity aspect

IF 5.6 2区 经济学 Q1 DEVELOPMENT STUDIES
Pawel Dobrzanski, Sebastian Bobowski, Karenjit Clare
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Abstract

In the 21st century, there have already been a series of economic downturns, particularly the Subprime Crisis 2007–2009 and the Covid-19 pandemic in 2020. All those events triggered changes in productivity, economic performance and structure. The main objective of this study is to identify the regions left behind in the Central and Eastern European (CEE) countries and to analyse the structural and productivity changes taking place within them. In our analysis, we aim to verify the research hypothesis that all left-behind regions in CEE have similar economic structures with a high share of agriculture. The research period covers the years from 2010 until 2020 using data from the Eurostat database. In the first phase of our analysis, we analysed employment, Gross Value Added (GVA) and productivity data for 11 CEE countries. Then, we analysed the Nomenclature of Territorial Units for Statistics at level 3 (NUTS3) regions, and Poland, which is a NUTS2 region. Left-behind regions are defined as those with low productivity and low growth rates. We provide a detailed analysis of the best and worst performing regions in terms of productivity for each country using productivity data and shift-share decomposition of productivity growth rate. Left-behind regions for each CEE country have been identified, and these are BG333, BG342, CZ080, EE004, HR023, HU332, LT027, LV005, PL72, RO216, RO312, SI032, SI035, SI038 and SK032. In our analysis, our hypothesis analysing the relationship between agriculture share in total employment and the productivity level of the region was not confirmed.
中欧和东欧的落后地区--劳动生产率方面
21 世纪已经出现了一系列经济衰退,特别是 2007-2009 年的次贷危机和 2020 年的 Covid-19 大流行病。所有这些事件都引发了生产力、经济表现和结构的变化。本研究的主要目的是确定中东欧(CEE)国家的落后地区,并分析这些地区的结构和生产力变化。在分析中,我们旨在验证研究假设,即中欧和东欧的所有落后地区都具有类似的经济结构,农业所占比重较高。研究时间跨度为 2010 年至 2020 年,数据来源于欧盟统计局数据库。在分析的第一阶段,我们分析了 11 个中欧和东欧国家的就业、增值总值 (GVA) 和生产率数据。然后,我们分析了第三级(NUTS3)地区和波兰(NUTS2)地区的 "统计用领土单位命名法"。落后地区是指那些生产率低、增长率低的地区。我们利用生产率数据和生产率增长率的转移份额分解,对各国生产率表现最好和最差的地区进行了详细分析。中欧和东欧各国的落后地区已经确定,它们是 BG333、BG342、CZ080、EE004、HR023、HU332、LT027、LV005、PL72、RO216、RO312、SI032、SI035、SI038 和 SK032。在我们的分析中,分析农业在总就业人数中所占比例与地区生产力水平之间关系的假设未得到证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
4.50%
发文量
40
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