卢旺达在 COVID-19 大流行期间采取的全经济复苏措施:有多大借鉴意义?

IF 3.5 2区 经济学 Q1 ECONOMICS Journal of Policy Modeling Pub Date : 2024-08-06 DOI:10.1016/j.jpolmod.2024.07.004
Emerta Aragie, Xinshen Diao, David J. Spielman, James Thurlow
{"title":"卢旺达在 COVID-19 大流行期间采取的全经济复苏措施:有多大借鉴意义?","authors":"Emerta Aragie, Xinshen Diao, David J. Spielman, James Thurlow","doi":"10.1016/j.jpolmod.2024.07.004","DOIUrl":null,"url":null,"abstract":"In response to the COVID-19 pandemic, governments in many low- and middle-income countries (LMICs) immediately introduced strict public health measures to contain the spread of infection. The economic consequences of these measures were negative and often large in magnitude, necessitating the rapid introduction of economic relief and recovery measures to reinvigorate economic growth and safeguard affected households. Rwanda stands out among other LMICs both for its effective public health policy response and its adaptive economic policy response to COVID-19. Using a dynamic computable general equilibrium (CGE) model of Rwanda, this paper assesses the economywide and welfare impacts of these policy measures and contextualizes results within the overall policy response to COVID-19. Modeling results generated at an early stage of Rwanda’s pandemic experience indicated that relief and recovery measures introduced in 2020 could mitigate COVID-19′s recessionary effects by about 0.8 % points of total GDP, help to recover about 115,000 jobs and, through cash transfers, significantly reduce income losses among poorer households, with total benefits from the measures exceeded their cost by a ratio of 2.2. These results demonstrate the widely replicable value of economywide modeling when used in a timely manner and when positioned within a policymaking process.","PeriodicalId":48015,"journal":{"name":"Journal of Policy Modeling","volume":"30 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The economywide recovery measures in Rwanda during the COVID-19 pandemic: How useful a lesson?\",\"authors\":\"Emerta Aragie, Xinshen Diao, David J. Spielman, James Thurlow\",\"doi\":\"10.1016/j.jpolmod.2024.07.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In response to the COVID-19 pandemic, governments in many low- and middle-income countries (LMICs) immediately introduced strict public health measures to contain the spread of infection. The economic consequences of these measures were negative and often large in magnitude, necessitating the rapid introduction of economic relief and recovery measures to reinvigorate economic growth and safeguard affected households. Rwanda stands out among other LMICs both for its effective public health policy response and its adaptive economic policy response to COVID-19. Using a dynamic computable general equilibrium (CGE) model of Rwanda, this paper assesses the economywide and welfare impacts of these policy measures and contextualizes results within the overall policy response to COVID-19. Modeling results generated at an early stage of Rwanda’s pandemic experience indicated that relief and recovery measures introduced in 2020 could mitigate COVID-19′s recessionary effects by about 0.8 % points of total GDP, help to recover about 115,000 jobs and, through cash transfers, significantly reduce income losses among poorer households, with total benefits from the measures exceeded their cost by a ratio of 2.2. These results demonstrate the widely replicable value of economywide modeling when used in a timely manner and when positioned within a policymaking process.\",\"PeriodicalId\":48015,\"journal\":{\"name\":\"Journal of Policy Modeling\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Policy Modeling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jpolmod.2024.07.004\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Policy Modeling","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.jpolmod.2024.07.004","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

为应对 COVID-19 大流行,许多中低收入国家(LMICs)的政府立即采取了严格的公共卫生措施来遏制感染的蔓延。这些措施对经济造成了负面影响,而且影响往往很大,因此有必要迅速采取经济救济和恢复措施,以重振经济增长和保护受影响的家庭。卢旺达因其有效的公共卫生政策应对措施和对 COVID-19 的适应性经济政策应对措施而在其他低收入和中等收入国家中脱颖而出。本文利用卢旺达的动态可计算一般均衡 (CGE) 模型,评估了这些政策措施对整个经济和福利的影响,并将结果与应对 COVID-19 的整体政策相结合。在卢旺达疫情早期阶段得出的建模结果表明,2020 年引入的救济和恢复措施可减轻 COVID-19 的衰退影响,使国内生产总值(GDP)总量减少约 0.8 个百分点,帮助恢复约 115,000 个工作岗位,并通过现金转移显著减少贫困家庭的收入损失,这些措施的总收益超过其成本的比率为 2.2。这些结果表明,在决策过程中及时使用全经济建模具有广泛的推广价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The economywide recovery measures in Rwanda during the COVID-19 pandemic: How useful a lesson?
In response to the COVID-19 pandemic, governments in many low- and middle-income countries (LMICs) immediately introduced strict public health measures to contain the spread of infection. The economic consequences of these measures were negative and often large in magnitude, necessitating the rapid introduction of economic relief and recovery measures to reinvigorate economic growth and safeguard affected households. Rwanda stands out among other LMICs both for its effective public health policy response and its adaptive economic policy response to COVID-19. Using a dynamic computable general equilibrium (CGE) model of Rwanda, this paper assesses the economywide and welfare impacts of these policy measures and contextualizes results within the overall policy response to COVID-19. Modeling results generated at an early stage of Rwanda’s pandemic experience indicated that relief and recovery measures introduced in 2020 could mitigate COVID-19′s recessionary effects by about 0.8 % points of total GDP, help to recover about 115,000 jobs and, through cash transfers, significantly reduce income losses among poorer households, with total benefits from the measures exceeded their cost by a ratio of 2.2. These results demonstrate the widely replicable value of economywide modeling when used in a timely manner and when positioned within a policymaking process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
期刊最新文献
Contents Editorial Board Immigration and the distribution of income, consumption and wealth in the euro area: Implications for economic policies Fed and ECB reaction functions during quantitative easing: Three phases of monetary policy, both conventional and unconventional How do carbon prices spill over along global supply chains? The impact on Europe and Germany
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1