欧盟区域经济增长和失业率——NUTS-2层面的时空分析(2013-2019)

IF 1.4 Q2 GEOGRAPHY
Mateusz Jankiewicz
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引用次数: 0

摘要

本研究旨在验证欧盟(EU)地区失业率与经济增长之间的关系。作为最重要的宏观经济关系,劳动力市场状况与产出增长之间的依赖关系的重要性已被广泛认识和考虑。本研究使用2013-2019年欧盟229个地区的NUTS-2水平数据进行分析。为了验证失业率与产出增长之间的关系,对混合时间序列和横截面数据(TSCS)的时空模型进行了估计。分析采用验证奥肯定律的拟合趋势和弹性法,其中确定性趋势因子中加入了空间元素。教育程度作为附加的解释变量被包括在模型中。区域之间的邻里关系是根据两个标准来量化的:(1)共同边界标准——与人口迁移的可能性有关;(2)失业率标准的相似性——与地区政府在劳动力市场引入规则和条例问题上的模仿效应有关。调查中证实的一个假设是经济邻域优于地理邻域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional economic growth and unemployment in the European Union – a spatio-temporal analysis at the NUTS-2 level (2013–2019)
The study aims to verify the relationship between the unemployment rate and economic growth in European Union (EU) regions. As the most important macroeconomic relationship, the significance of the dependence between the labour market situation and the output growth is widely known and considered. Analysis in this research was conducted using data for 229 EU regions on the NUTS-2 level in the years 2013–2019. In order to verify the relationship between the unemployment rate and the output growth, the spatio-temporal models for pooled time series and cross-sectional data (TSCS) were estimated. The Fitted Trend and Elasticity Method of verifying Okun’s law was used in the analysis, wherein the deterministic trend factor was enriched with the spatial element. Educational attainment as the additional explanatory variable was included in the models. The neighbourhood between regions was quantified based on two criteria: (1) common border criterion – related to the possibility of population migrations, and (2) similarity of the unemployment rate criterion – related to the imitation effect in the issue of introduced rules and regulations on the labour market by regional governments. One of the hypotheses verified in the investigation is the superiority of the economic neighbourhood over the geographical neighbourhood.
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来源期刊
Hungarian Geographical Bulletin
Hungarian Geographical Bulletin Social Sciences-Geography, Planning and Development
CiteScore
3.20
自引率
0.00%
发文量
24
审稿时长
24 weeks
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