{"title":"关于严重物理灾害对国内生产总值的影响","authors":"Martin Bodenstein, Mikaël Scaramucci","doi":"10.17016/ifdp.2024.1386","DOIUrl":null,"url":null,"abstract":"We assess the impacts from physical hazards (or severe weather events) on economic activity in a panel of 98 countries using local projection methods. Proxying the strength of an event by the monetary damages it caused, we find severe weather events to reduce the level of GDP. For most events in the EM-DAT data set the effects are small. The largest events in our sample (above the 90th percentile of damages) bring down the level of GDP by 0.5 percent for several years without recovery to trend. Smaller events (below the 90th percentile) see a less immediate decrease in initial years (0.1 percent) that progressively widens to become similar to the effect of larger disasters after 10 years. Climatological hazards (droughts and forest fires) appear to have the largest effects. These findings are robust across country groupings by development and alternative measures of the strength of the physical hazard.","PeriodicalId":433202,"journal":{"name":"International Finance Discussion Paper","volume":"175 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the GDP Effects of Severe Physical Hazards\",\"authors\":\"Martin Bodenstein, Mikaël Scaramucci\",\"doi\":\"10.17016/ifdp.2024.1386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We assess the impacts from physical hazards (or severe weather events) on economic activity in a panel of 98 countries using local projection methods. Proxying the strength of an event by the monetary damages it caused, we find severe weather events to reduce the level of GDP. For most events in the EM-DAT data set the effects are small. The largest events in our sample (above the 90th percentile of damages) bring down the level of GDP by 0.5 percent for several years without recovery to trend. Smaller events (below the 90th percentile) see a less immediate decrease in initial years (0.1 percent) that progressively widens to become similar to the effect of larger disasters after 10 years. Climatological hazards (droughts and forest fires) appear to have the largest effects. These findings are robust across country groupings by development and alternative measures of the strength of the physical hazard.\",\"PeriodicalId\":433202,\"journal\":{\"name\":\"International Finance Discussion Paper\",\"volume\":\"175 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Finance Discussion Paper\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17016/ifdp.2024.1386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Finance Discussion Paper","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17016/ifdp.2024.1386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们使用本地预测方法评估了物理危害(或恶劣天气事件)对 98 个国家的经济活动的影响。我们发现,恶劣天气事件会降低 GDP 水平,并以其造成的经济损失来替代事件的强度。对于 EM-DAT 数据集中的大多数事件来说,影响都很小。在我们的样本中,最大的事件(高于第 90 个百分位数的损失)会使 GDP 水平在几年内下降 0.5%,且不会恢复到趋势水平。较小的灾害(低于第 90 百分位数)在最初几年的下降幅度较小(0.1%),但在 10 年后逐渐扩大,与较大灾害的影响相似。气候灾害(干旱和森林火灾)的影响似乎最大。这些研究结果在不同发展水平的国家分组以及不同的物理危害强度衡量标准中都是可靠的。
We assess the impacts from physical hazards (or severe weather events) on economic activity in a panel of 98 countries using local projection methods. Proxying the strength of an event by the monetary damages it caused, we find severe weather events to reduce the level of GDP. For most events in the EM-DAT data set the effects are small. The largest events in our sample (above the 90th percentile of damages) bring down the level of GDP by 0.5 percent for several years without recovery to trend. Smaller events (below the 90th percentile) see a less immediate decrease in initial years (0.1 percent) that progressively widens to become similar to the effect of larger disasters after 10 years. Climatological hazards (droughts and forest fires) appear to have the largest effects. These findings are robust across country groupings by development and alternative measures of the strength of the physical hazard.