Economic stimulus for COVID-19 pandemic and its determinants: evidence from cross-country analysis

被引:27
|
作者
Siddik, Md Nur Alam [1 ]
机构
[1] Begum Rokeya Univ, Dept Finance & Banking, Rangpur 5404, Bangladesh
关键词
Economic stimulus; COVID-19; cases; Fiscal policy; Multi-dimensional index; Normalized inverse Euclidean distance; Social sciences; Law; Information science; Economics; Business;
D O I
10.1016/j.heliyon.2020.e05634
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Countries around the world are announcing stimulus packages in response to the COVID 19 pandemic. This research attempts to measure the extent and progress of stimulus packages by proposing a multidimensional index that standardizes governments' economic responses and allows us to examine the differences in economic policies from country to country. We apply the Euclidean distance formula to develop the new index and then identify the determinants of the economic stimulation of COVID-19 through beta-regression. The results show that Chile, Switzerland, Croatia, Sweden and the Netherlands responded more strongly to the COVID-19 pandemic, while the remaining countries responded slightly to the pandemic. Empirical results also indicate that most countries increased COVID-19 economic support, although not significantly. Finally, the results of the beta regression show that the median age of the population, the number of hospitals, beds per capita, the number of total COVID-19 cases, GDP, health care expenditure and the index of the severity of the government's response is significantly related to the level of the countries' stimulus packages.
引用
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页数:10
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