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Ex-Post Coping Responses and Post-Disaster Resilience: a Case from the 2015 Nepal Earthquake 事后应对反应与灾后复原力:以2015年尼泊尔地震为例
Pub Date : 2020-05-30 DOI: 10.1007/s41885-020-00064-1
Veeshan Rayamajhee, A. Bohara, V. Storr
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引用次数: 8
Climate-Related Hazards and Internal Migration Empirical Evidence for Rural Vietnam 与气候有关的灾害和国内移民 越南农村的经验证据
Pub Date : 2020-04-21 DOI: 10.1007/s41885-020-00062-3
Michael Berlemann, Thi Xuyen Tran
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引用次数: 1
Climate-Related Hazards and Internal Migration Empirical Evidence for Rural Vietnam 与气候有关的灾害和国内移民 越南农村的经验证据
Pub Date : 2020-04-21 DOI: 10.1007/s41885-020-00062-3
Michael Berlemann, Thi Xuyen Tran
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引用次数: 1
From Poverty to Disaster and Back: a Review of the Literature 从贫困到灾难再回来:文献综述
Pub Date : 2020-04-01 DOI: 10.1007/s41885-020-00060-5
S. Hallegatte, A. Vogt-Schilb, J. Rozenberg, M. Bangalore, Chloé Beaudet
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引用次数: 1
Poverty, Inequality, and Disasters – An Introduction to the Special Issue 贫困、不平等与灾害--特刊简介
Pub Date : 2020-04-01 DOI: 10.1007/s41885-020-00063-2
Jasmin Groeschl, Ilan Noy
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引用次数: 0
Poverty, Inequality, and Disasters – An Introduction to the Special Issue 贫困、不平等与灾害--特刊简介
Pub Date : 2020-04-01 DOI: 10.1007/s41885-020-00063-2
Jasmin Groeschl, Ilan Noy
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引用次数: 0
Distributional Impacts of Disaster Recovery: Sri Lankan Households a Decade after the 2004 Indian Ocean Tsunami 灾后恢复的分布影响:2004年印度洋海啸后十年的斯里兰卡家庭
Pub Date : 2020-02-28 DOI: 10.1007/s41885-020-00058-z
D. De Alwis
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引用次数: 3
Identifying the Vulnerable to Poverty from Natural Disasters: The Case of Typhoons in the Philippines 识别易受自然灾害影响的贫困群体:以菲律宾台风为例
Pub Date : 2020-02-19 DOI: 10.1007/s41885-020-00059-y
E. Skoufias, Yasuhiro Kawasoe, E. Strobl, Pablo Acosta
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引用次数: 12
Floods and Household Welfare: Evidence from Southeast Asia 洪水与家庭福利:来自东南亚的证据
Pub Date : 2020-01-20 DOI: 10.1007/s41885-019-00055-x
Thi Ngoc Tu Le
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引用次数: 5
The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis. COVID封锁的经济成本:一种非均衡分析。
Pub Date : 2020-01-01 Epub Date: 2020-06-19 DOI: 10.1007/s41885-020-00066-z
Antoine Mandel, Vipin Veetil

This paper estimates the cost of the lockdown of some sectors of the world economy in the wake of COVID-19. We develop a multi sector disequilibrium model with buyer-seller relations between agents located in different countries. The production network model allows us to study not only the direct cost of the lockdown but also indirect costs which emerge from the reductions in the availability of intermediate inputs. Agents determine the quantity of output and the proportions in which to combine inputs using prices that emerge from local interactions. The model is calibrated to the world economy using input-output data on 56 industries in 44 countries including all major economies. Within our model, the lockdowns are implemented as partial reductions in the output of some sectors using data on sectoral decomposition of capacity reductions. We use computational experiments to replicate the temporal sequence of the lockdowns implemented in different countries. World output falls by 7% at the early stage of the crisis when only China is under lockdown and by 23% at the peak of the crisis when many countries are under a lockdown. These direct impacts are amplified as the shock propagates through the world economy because of the buyer-seller relations. Supply-chain spillovers are capable of amplifying the direct impact by more than two folds. Naturally, the substitutability between intermediate inputs is a major determinant of the amplification. We also study the process of economic recovery following the end of the lockdowns. Price flexibility and minor technological adaptations help in reducing the time it takes for the economy to recover. The world economy takes about one quarter to move towards the new equilibrium in the optimistic and unlikely scenario of the end of all lockdowns. Recovery time is likely to be significantly greater if partial lockdowns persist.

本文估计了新冠肺炎疫情后世界经济部分部门封锁的成本。我们建立了一个包含不同国家代理人之间买卖关系的多部门非均衡模型。生产网络模型使我们不仅可以研究封锁的直接成本,还可以研究由于中间投入可用性减少而产生的间接成本。代理人决定产出的数量,以及根据当地相互作用产生的价格组合投入的比例。该模型使用包括所有主要经济体在内的44个国家56个行业的投入产出数据,对世界经济进行了校准。在我们的模型中,使用产能削减的部门分解数据,将封锁作为某些部门产出的部分减少来实施。我们使用计算实验来复制不同国家实施的封锁的时间顺序。在危机初期,只有中国处于封锁状态,世界产出下降了7%;在危机最严重的时候,许多国家都处于封锁状态,世界产出下降了23%。由于买卖双方的关系,这些直接影响随着冲击在全球经济中传播而被放大。供应链溢出效应能够将直接影响放大两倍以上。自然,中间输入之间的可替代性是放大的主要决定因素。我们还研究了封锁结束后经济复苏的过程。价格灵活性和微小的技术调整有助于缩短经济复苏所需的时间。在所有封锁都结束这种乐观但不太可能的情况下,世界经济需要大约一个季度的时间才能走向新的平衡。如果部分封锁持续下去,恢复时间可能要长得多。
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引用次数: 134
期刊
Economics of disasters and climate change
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