气候变化与美国经济地理

S. Leduc, Daniel J. Wilson
{"title":"气候变化与美国经济地理","authors":"S. Leduc, Daniel J. Wilson","doi":"10.24148/wp2023-17","DOIUrl":null,"url":null,"abstract":"This paper examines how the spatial distribution of people and jobs in the United States has been and will be impacted by climate change. Using novel county-level weather data from 1951 to 2020, we estimate the longer-run effects of weather on local population, employment, wages, and house prices using a panel distributed lag model. The historical results point to long-lasting negative effects of extreme temperatures on each of these outcomes. We highlight that a long lag structure is necessary to appropriately capture the longer-run effects of climate change, as short-run effects are often small and imprecisely estimated. Using county-level weather projections based on alternative greenhouse gas emissions scenarios, we use the estimated models to project the spatial distribution of these local economic outcomes out to 2050. The results point to substantial reallocations of people and jobs across the country over the next three decades, with mobility increasing by between 33 and 100 percent depending on the scenario. Population and employment are projected to shift away from the Sunbelt and toward the North and Mountain West. We document that this would, in fact, be a continuation of a historical pattern: Over the past four decades the relationship between population growth and hot climates across the United States has turned from strongly positive to slightly negative. We present a spatial equilibrium model to interpret the results, highlighting the impacts of climate change on amenities and productivity, and find significant roles for both channels in accounting for our empirical findings.","PeriodicalId":250744,"journal":{"name":"Federal Reserve Bank of San Francisco, Working Paper Series","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Climate Change and the Geography of the U.S. Economy\",\"authors\":\"S. Leduc, Daniel J. Wilson\",\"doi\":\"10.24148/wp2023-17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines how the spatial distribution of people and jobs in the United States has been and will be impacted by climate change. Using novel county-level weather data from 1951 to 2020, we estimate the longer-run effects of weather on local population, employment, wages, and house prices using a panel distributed lag model. The historical results point to long-lasting negative effects of extreme temperatures on each of these outcomes. We highlight that a long lag structure is necessary to appropriately capture the longer-run effects of climate change, as short-run effects are often small and imprecisely estimated. Using county-level weather projections based on alternative greenhouse gas emissions scenarios, we use the estimated models to project the spatial distribution of these local economic outcomes out to 2050. The results point to substantial reallocations of people and jobs across the country over the next three decades, with mobility increasing by between 33 and 100 percent depending on the scenario. Population and employment are projected to shift away from the Sunbelt and toward the North and Mountain West. We document that this would, in fact, be a continuation of a historical pattern: Over the past four decades the relationship between population growth and hot climates across the United States has turned from strongly positive to slightly negative. We present a spatial equilibrium model to interpret the results, highlighting the impacts of climate change on amenities and productivity, and find significant roles for both channels in accounting for our empirical findings.\",\"PeriodicalId\":250744,\"journal\":{\"name\":\"Federal Reserve Bank of San Francisco, Working Paper Series\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Federal Reserve Bank of San Francisco, Working Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24148/wp2023-17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Federal Reserve Bank of San Francisco, Working Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24148/wp2023-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文研究了美国人口和工作的空间分布已经并将受到气候变化的影响。利用1951年至2020年的新县级天气数据,我们使用面板分布滞后模型估计了天气对当地人口、就业、工资和房价的长期影响。历史结果表明,极端温度对这些结果都有长期的负面影响。我们强调,长期滞后结构对于适当地捕捉气候变化的长期影响是必要的,因为短期影响往往很小,而且估计不准确。利用基于备选温室气体排放情景的县级天气预测,我们使用估算模型预测了到2050年这些地方经济成果的空间分布。研究结果表明,未来30年,全国范围内的人员和工作将进行大规模重新分配,根据不同的情况,流动性将增加33%到100%。人口和就业预计将从阳光地带转移到北部和西部山区。我们证明,这实际上是一种历史模式的延续:在过去的40年里,美国各地的人口增长和炎热气候之间的关系已经从强烈的正关系变成了轻微的负关系。我们提出了一个空间平衡模型来解释结果,强调了气候变化对舒适性和生产力的影响,并发现这两个渠道在解释我们的实证研究结果时发挥了重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate Change and the Geography of the U.S. Economy
This paper examines how the spatial distribution of people and jobs in the United States has been and will be impacted by climate change. Using novel county-level weather data from 1951 to 2020, we estimate the longer-run effects of weather on local population, employment, wages, and house prices using a panel distributed lag model. The historical results point to long-lasting negative effects of extreme temperatures on each of these outcomes. We highlight that a long lag structure is necessary to appropriately capture the longer-run effects of climate change, as short-run effects are often small and imprecisely estimated. Using county-level weather projections based on alternative greenhouse gas emissions scenarios, we use the estimated models to project the spatial distribution of these local economic outcomes out to 2050. The results point to substantial reallocations of people and jobs across the country over the next three decades, with mobility increasing by between 33 and 100 percent depending on the scenario. Population and employment are projected to shift away from the Sunbelt and toward the North and Mountain West. We document that this would, in fact, be a continuation of a historical pattern: Over the past four decades the relationship between population growth and hot climates across the United States has turned from strongly positive to slightly negative. We present a spatial equilibrium model to interpret the results, highlighting the impacts of climate change on amenities and productivity, and find significant roles for both channels in accounting for our empirical findings.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信