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Early estimates of the impact of the COVID-19 pandemic on GDP: a case study of Saudi Arabia

机译:关于Covid-19大流行对GDP的影响的早期估计:沙特阿拉伯的案例研究

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摘要

The COVID-19 pandemic has affected economic sectors in a very heterogeneous way. In the early stages of the economic lockdown, only limited economic data, if any, related to the event were available. With the government's discretionary measures to contain the infection, it became obvious that some sectors will suffer more than others. We have used this information within the input-output framework to calibrate demand shocks to individual sectors and to obtain early estimates of the impact on sectoral and overall GDP. Given the high level of uncertainty, we designed three scenarios, reflecting the severity of the shock, its sectoral distribution, and the time needed for recovery, and applied to the Saudi economy. The negative impact on headline GDP in 2020 is estimated to range from -4.8% to -9.8% compared to the baseline level, while the government's fiscal countermeasures result in a positive effect of some 2.5% in real GDP. The study also shows how to accommodate a qualitative shift in economic conditions given the still-evolving pandemic. We consider the potential situation of a second wave of the infection that would enforce a protracted lockdown and imply second-round effects.
机译:Covid-19 Pandemase以非常异质的方式影响了经济部门。在经济锁定的早期阶段,只有与事件有所了解的经济数据,只有有限的经济数据。随着政府禁用措施遏制感染,显然有些部门将超过其他部门。我们在输入输出框架内使用了这些信息来校准对单个部门的需求冲击,并获得对部门和整体GDP的影响的早期估计。鉴于高水平的不确定性,我们设计了三种情景,反映了震动的严重程度,其部门分配以及恢复所需的时间,并适用于沙特经济。与基线水平相比,2020年对2020年标题GDP对标题GDP的负面影响估计为-4.8%至-9.8%,而政府的财政对策导致实际GDP中的2.5%的积极效果。该研究还展示了如何在仍然不断发展的大流行时,如何适应经济状况的定性转变。我们考虑了第二波感染的潜在情况,这将强制执行持续的锁定和暗示第二轮效果。

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