加纳促进包容性适应新冠肺炎危机并从中恢复的政策应对和干预措施模拟

Q3 Social Sciences International Journal of Microsimulation Pub Date : 2022-12-31 DOI:10.34196/ijm.00270
E. Cooke, A. Araar, E. Abrokwah, V. Acheampong, S. Appiah
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引用次数: 1

摘要

我们评估了新冠肺炎冲击对家庭福利的影响,以及为减少其对加纳福利的影响而实施的选择性政策的有效性。我们采用微观模拟方法来评估新冠肺炎对家庭福利的影响。2020年3月至6月期间,福利下降了34.2%至41.9%。同期,贫困人口和基尼指数分别上升了9至10.5个百分点和0.4至0.6个百分点。贫困人口增加了280万,达到320万。受影响最严重的部门是教育,农业、林业和渔业、贸易和维修、制造业和其他服务业也受到影响。对男性、女性和儿童的影响各不相同。虽然妇女的福利下降幅度最大,但男性的贫困发生率上升幅度最大。这三项政策选择略微减少贫困,但无法抵消3月至6月期间贫困的增加。这三项政策的估计成本为37亿加纳先令,不包括行政成本,约相当于2020年GDP的1%©2022,Cooke等人
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Simulations of Policy Responses and Interventions to Promote Inclusive Adaptation to and Recovery from the COVID-19 Crisis in Ghana
We assess the impact of COVID-19 shocks on household welfare and the effectiveness of select policies implemented to reduce their impact on welfare in Ghana. We adopt a microsimulation approach to assess the effects of COVID-19 on household welfare. Welfare fell by 34.2% to 41.9% between March and June 2020. Over the same period, the poverty headcount and the Gini index increased by 9 to 10.5 percentage points and 0.4 to 0.6 points respectively. The number of poor people increased by 2.8 to 3.2 million. The hardest-hit sector was education, with agriculture, forestry and fishing, trade and repairs, manufacturing, and other services also affected. The effects vary for men, women and children. While women experienced the largest decline in welfare, men experienced the highest increase in poverty incidence. The three policies selected reduced poverty marginally but were unable to offset the increase in poverty that occurred between March and June. The estimated cost of the three policies is GHS3.7 billion excluding administrative costs, which equates to approximately 1% of 2020 GDP © 2022, Cooke et al
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来源期刊
International Journal of Microsimulation
International Journal of Microsimulation Mathematics-Modeling and Simulation
CiteScore
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期刊介绍: The IJM covers research in all aspects of microsimulation modelling. It publishes high quality contributions making use of microsimulation models to address specific research questions in all scientific areas, as well as methodological and technical issues. IJM concern: the description, validation, benchmarking and replication of microsimulation models; results coming from microsimulation models, in particular policy evaluation and counterfactual analysis; technical or methodological aspect of microsimulation modelling; reviews of models and results, as well as of technical or methodological issues.
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