{"title":"估算孟加拉国气候变化经济影响的随机模拟方法","authors":"J. Thurlow, P. Dorosh, Winston Yu","doi":"10.1111/j.1467-9361.2012.00671.x","DOIUrl":null,"url":null,"abstract":"Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data. Using ten climate projections, we find that future anthropogenic climate change damages until 2050 are, on average, one-fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladeshâ..s long- run shift (adaptation) into dry (winter) season rice production.","PeriodicalId":438361,"journal":{"name":"Agricultural Sustainability & Security eJournal","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"A Stochastic Simulation Approach to Estimating the Economic Impacts of Climate Change in Bangladesh\",\"authors\":\"J. Thurlow, P. Dorosh, Winston Yu\",\"doi\":\"10.1111/j.1467-9361.2012.00671.x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data. Using ten climate projections, we find that future anthropogenic climate change damages until 2050 are, on average, one-fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladeshâ..s long- run shift (adaptation) into dry (winter) season rice production.\",\"PeriodicalId\":438361,\"journal\":{\"name\":\"Agricultural Sustainability & Security eJournal\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Sustainability & Security eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/j.1467-9361.2012.00671.x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Sustainability & Security eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/j.1467-9361.2012.00671.x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Stochastic Simulation Approach to Estimating the Economic Impacts of Climate Change in Bangladesh
Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data. Using ten climate projections, we find that future anthropogenic climate change damages until 2050 are, on average, one-fifth of those from historical climate variability. Climate change also alters the temporal distribution of damages and slows Bangladeshâ..s long- run shift (adaptation) into dry (winter) season rice production.