Evaluating the Impact of Energy Price Shocks on Emerging Countries from the Non-Euro Area: A Macroeconomic Analysis

IF 0.7 Q3 ECONOMICS Studies in Business and Economics Pub Date : 2024-05-21 DOI:10.2478/sbe-2024-0018
Alexandra Horobeţ, Maria-Alexandra Dalu, Cristina Negreanu
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Abstract

Exogenous shocks like the COVID-19 pandemic or the Russian conflict affected the global economy, but mostly emerging economies. Even though the critical moments have passed, the negative effects on the economy are still present in the current economic environment, characterized by high levels of uncertainty. Exogenous events, which have an uncertain likelihood of occurring, harm economies regardless of their development. In fact, a framework for unanticipated events is vital, as are steps to achieve low levels of national debt and increased authority stability. In this context, the objective of this paper is to examine the dynamic relationships between energy prices and certain macroeconomic variables, which were affected by the fact that the energy crisis triggered by the Russian-Ukrainian conflict overlapped with the accelerated transition to a green economy and the decarbonization process. The CEE countries are more vulnerable to the energy crisis, and their proximity to the front lines of military conflict can be an important fact to take into account. The research focuses on the Czech Republic, Hungary, Poland, and Romania. The empirical analysis was conducted on monthly frequency data and in order to present an effective method of modeling interactions between macroeconomic variables, the Bayesian technique was employed.
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评估能源价格冲击对非欧元区新兴国家的影响:宏观经济分析
COVID-19 大流行病或俄罗斯冲突等外来冲击影响了全球经济,但主要是新兴经济体。尽管关键时刻已经过去,但在当前以高度不确定性为特征的经济环境中,对经济的负面影响依然存在。外生事件发生的可能性不确定,无论其发展状况如何,都会对经济造成损害。事实上,建立一个应对意外事件的框架至关重要,采取措施降低国债水平和提高当局的稳定性也同样重要。在此背景下,本文旨在研究能源价格与某些宏观经济变量之间的动态关系,这些变量受到俄乌冲突引发的能源危机与加速向绿色经济转型和去碳化进程重叠这一事实的影响。中欧和东欧国家更容易受到能源危机的影响,它们靠近军事冲突的前线也是一个需要考虑的重要事实。研究重点是捷克共和国、匈牙利、波兰和罗马尼亚。实证分析以月度频率数据为基础,为了提出宏观经济变量之间相互作用的有效建模方法,采用了贝叶斯技术。
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
20
审稿时长
30 weeks
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