Covid-19对航空业的影响:后疫情计量经济学分析

Zaib Maroof, M. Jawad, Munazza Naz, Muhammad Haroon Jabbar, Noman Waheed
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引用次数: 1

摘要

由新型冠状病毒引起的新发现的COVID-19疾病,即众所周知的冠状病毒,震惊了世界。毫无疑问,航空业受到冠状病毒的打击最为严重。目前的研究旨在确定新冠肺炎疫情对比利时、阿尔巴尼亚、奥地利、芬兰、德国、意大利、西班牙、法国、土耳其和英国航空业的后期影响。该研究解释了新冠肺炎病例和死亡人数对航空交通、货运交通和客运交通的影响程度或影响。为了达到本研究的目的,这两个模型分别进行了测试。在第一个模型中,我们测试了Covid病例对研究变量航空交通、货运量和客运量的影响。在第二个模型中,我们测试了Covid死亡对研究变量航空交通、货运量和客运量的影响。本研究还采用了增强Dicker的完全检验来衡量数据的平稳性。专家组数据的结果显示,新冠肺炎病例和死亡人数对空中交通、货运交通和客运交通的影响显著下降。此外,VAR、脉冲响应函数(IRF)和方差分解被应用于描述冲击、量化冲击和详细解释研究变量之间的内部和相互依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Covid-19 on the Aviation Industry: A Post Covid Econometric Analysis
A newly discovered COVID-19 disease, notoriously known as Coronavirus, caused by the novel Corona Virus has shaken the world. It is no surprise that the aviation industry has been hit hardest by the Corona Virus. The current research makes an effort to identify the post effect of Covid-19 on the aviation industry in Belgium, Albania, Austria, Finland, Germany, Italy, Spain, France, Turkey and United Kingdom. The study explained the magnitude or impact of Covid cases and Covid deaths on Airline traffic, Freight traffic and Passenger traffic. To meet the objectives of the current study the two models have been tested separately. In the first model, we tested the impact of Covid cases on the study variables Airline Traffic, Freight Traffic and Passenger Traffic. In second model, we tested the impact of Covid deaths on the study variables Airline Traffic, Freight Traffic and Passenger Traffic. The study also applied the Augmented Dicker’s fully test to measure the stationarity of data. Results of the panel data showed that Covid cases as well as Covid deaths posed a significant declining impact on Air traffic, Freight traffic and Passenger traffic. Furthermore, VAR, Impulse Response Function (IRF) and Variance Decomposition has been applied for describing shocks, quantifying shocks and explaining intra and inter dependencies between the study variables in detail.
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