Impact of COVID-19 on Saudi Arabia's economy: evidence from macro-micro modelling

Q1 Social Sciences
Raed Alharbi
{"title":"Impact of COVID-19 on Saudi Arabia's economy: evidence from macro-micro modelling","authors":"Raed Alharbi","doi":"10.1108/prr-08-2021-0039","DOIUrl":null,"url":null,"abstract":"PurposeEven with the Saudi Arabian Government's discretionary measures to mitigate the spread of the coronavirus disease 2019 (COVID-19), the economic sectors were not spared from the damage. Thus, the paper aims to use a computable general equilibrium (CGE) model to evaluate the impact of COVID-19 on the Kingdom of Saudi Arabia's (KSA) economy, with a special focus on small and medium enterprises (SMEs) and production. These influence the level of poverty.Design/methodology/approachThe paper adopted the social accounting matrix (SAM) for Saudi Arabia built in 2021 by Imtithal Althumairi from Saudi Arabia's 2017 SAM. The model represents a snapshot of the economy and different flows that exist within the tasks and institutions. Two simulations (mild and severe) were conducted because of the focus on the distributional outcomes.FindingsDecrease in job creation and economic growth were significant evidence from the study's findings. Findings show that more families hit below the poverty line because the negative impacts of the pandemic have shifted the income allocation curve. Findings show that the weakest of the poor are mitigated by government social grants during the pandemic.Research limitations/implicationsThe paper is restricted to the relevant literature relating to the impact of COVID-19 on Saudi Arabia's economy and evaluated using the SAM model. Moreover, the COVID-19 is still an ongoing scenario; thus, the model should be updated as data utilised for the operationalisation are made available.Practical implicationsThe information from the suggested model can be suitable to measure the degree of the harm, and thus, the likely extent of the desirable policy feedback. Also, the model can be updated, as data are made available and formulated policies based on the updated data implemented by the policymakers.Originality/valueApart from the recovery planning of SMEs during the pandemic, the paper intends to stir up Saudi Arabia's policymakers through the macro-micro model to recovery planning and resilience of the economy with emphasis on mitigating unemployment.","PeriodicalId":32387,"journal":{"name":"PSU Research Review","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSU Research Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/prr-08-2021-0039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 2

Abstract

PurposeEven with the Saudi Arabian Government's discretionary measures to mitigate the spread of the coronavirus disease 2019 (COVID-19), the economic sectors were not spared from the damage. Thus, the paper aims to use a computable general equilibrium (CGE) model to evaluate the impact of COVID-19 on the Kingdom of Saudi Arabia's (KSA) economy, with a special focus on small and medium enterprises (SMEs) and production. These influence the level of poverty.Design/methodology/approachThe paper adopted the social accounting matrix (SAM) for Saudi Arabia built in 2021 by Imtithal Althumairi from Saudi Arabia's 2017 SAM. The model represents a snapshot of the economy and different flows that exist within the tasks and institutions. Two simulations (mild and severe) were conducted because of the focus on the distributional outcomes.FindingsDecrease in job creation and economic growth were significant evidence from the study's findings. Findings show that more families hit below the poverty line because the negative impacts of the pandemic have shifted the income allocation curve. Findings show that the weakest of the poor are mitigated by government social grants during the pandemic.Research limitations/implicationsThe paper is restricted to the relevant literature relating to the impact of COVID-19 on Saudi Arabia's economy and evaluated using the SAM model. Moreover, the COVID-19 is still an ongoing scenario; thus, the model should be updated as data utilised for the operationalisation are made available.Practical implicationsThe information from the suggested model can be suitable to measure the degree of the harm, and thus, the likely extent of the desirable policy feedback. Also, the model can be updated, as data are made available and formulated policies based on the updated data implemented by the policymakers.Originality/valueApart from the recovery planning of SMEs during the pandemic, the paper intends to stir up Saudi Arabia's policymakers through the macro-micro model to recovery planning and resilience of the economy with emphasis on mitigating unemployment.
COVID-19对沙特阿拉伯经济的影响:来自宏观微观模型的证据
尽管沙特阿拉伯政府采取了酌情措施,以减轻2019年冠状病毒病(COVID-19)的传播,但经济部门也未能幸免。因此,本文旨在使用可计算一般均衡(CGE)模型来评估COVID-19对沙特阿拉伯王国(KSA)经济的影响,并特别关注中小型企业(SMEs)和生产。这些因素影响着贫困程度。本文采用了沙特阿拉伯2017年SAM的Imtithal Althumairi于2021年为沙特阿拉伯建立的社会会计矩阵(SAM)。该模型代表了经济的一个快照,以及存在于任务和机构中的不同流动。由于关注分布结果,我们进行了两种模拟(轻度和重度)。研究结果就业创造和经济增长的减少是研究结果的重要证据。调查结果显示,由于大流行的负面影响改变了收入分配曲线,更多家庭处于贫困线以下。调查结果表明,在大流行期间,政府社会补助金减轻了最贫困人口的负担。研究局限性/意义本文仅限于与COVID-19对沙特阿拉伯经济影响有关的相关文献,并使用SAM模型进行评估。此外,COVID-19仍是一个持续的情景;因此,该模型应在提供用于操作的数据时进行更新。实际意义从建议的模型中获得的信息可以适用于衡量危害的程度,从而衡量理想的政策反馈的可能程度。此外,模型也可以更新,因为可以提供数据,并根据决策者实施的更新数据制定政策。除了大流行期间中小企业的恢复计划外,本文还打算通过宏观微观模型来刺激沙特阿拉伯的政策制定者对经济的恢复计划和弹性,重点是减轻失业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
9.40
自引率
0.00%
发文量
23
审稿时长
24 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信