Analyzing the Threshold Impact of Public Debt on Economic Growth: an Investigation of the New Member States within the European Union

IF 0.5 Q4 ECONOMICS
Burim Gashim, Gazmore Rexhepi
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引用次数: 0

Abstract

This paper aims to analyze the impact of public debt on economic growth in eleven EU new member states (NMS) from Central and South-Eastern Europe for the period 2000-2019. More specifically, we investigate if there is evidence of a non-linear (quadratic) relationship in this group of countries. Having in mind different economic and financial development, historical connections, and geographical proximity, we split them into three more homogenous groups: Balkan countries (BAL-4), Baltic countries (B-3), and Visegrad countries (VIS-4). The results of our study in all models indicate a statistically significant non-linear impact of public debt ratios on annual GDP per capita growth rates. The results across all models show a significant non-linear impact of public debt ratios on annual GDP per capita growth rates. Further, the calculated debt-to-GDP turning point, where the positive effect of accumulated public debt inverts into a negative effect, is roughly between 42.7%-58% of GDP, dependent on which sub-group we have analyzed. In general, the research may contribute to a better understanding of the problem of high public debt and its effect on economic activity in the new EU.
分析公共债务对经济增长的临界影响:对欧盟新成员国的调查
本文旨在分析 2000-2019 年间中欧和东南欧 11 个欧盟新成员国(NMS)的公共债务对经济增长的影响。更具体地说,我们研究这组国家是否存在非线性(二次)关系的证据。考虑到不同的经济和金融发展水平、历史渊源和地理邻近性,我们将这些国家分为三个同质性较强的组别:巴尔干国家 (BAL-4)、波罗的海国家 (B-3) 和维谢格拉德国家 (VIS-4)。我们对所有模型的研究结果表明,公共债务比率对人均 GDP 年增长率有显著的非线性影响。所有模型的结果都表明,公共债务比率对人均国内生产总值年增长率有明显的非线性影响。此外,计算得出的债务与国内生产总值的转折点,即累积公共债务的正效应反转为负效应的转折点,大致在国内生产总值的 42.7%-58%之间,这取决于我们分析的分组。总体而言,这项研究有助于更好地理解高额公共债务问题及其对新欧盟经济活动的影响。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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