{"title":"自然灾害对房价的影响:对福米尔峡谷大火的考察","authors":"Katherine A. Kiel, Victor A. Matheson","doi":"10.1016/j.jfe.2018.09.002","DOIUrl":null,"url":null,"abstract":"<div><p>In September 2010, the Fourmile-Lefthand Canyon forest fire burned 6181 acres, destroyed 169 homes, and caused $217 million in property damages making it by far the most expensive fire in Colorado history at the time. This paper examines how the fire affected housing prices in vulnerable neighboring areas that were not directly impacted by the fire, controlling for the property’s level of risk. This damaging fire may have increased home owners’ perceptions about the risk of living in forested areas subject to wildfires to a significant degree adding to the total direct economic losses from the fire. Utilizing a unique fire risk data set and a difference-in-difference approach, we test whether buyers of houses in areas with different risk levels prior to the fire adjust expectations differently. We find buyers in the highest risk area are most likely to change their perceptions in response to a fire with houses in these areas experiencing a statistically significant 21.7% decline in sale price compared to houses in non-risky areas.</p></div>","PeriodicalId":54831,"journal":{"name":"Journal of Forest Economics","volume":"33 ","pages":"Pages 1-7"},"PeriodicalIF":0.7000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jfe.2018.09.002","citationCount":"17","resultStr":"{\"title\":\"The effect of natural disasters on housing prices: An examination of the Fourmile Canyon fire\",\"authors\":\"Katherine A. Kiel, Victor A. Matheson\",\"doi\":\"10.1016/j.jfe.2018.09.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In September 2010, the Fourmile-Lefthand Canyon forest fire burned 6181 acres, destroyed 169 homes, and caused $217 million in property damages making it by far the most expensive fire in Colorado history at the time. This paper examines how the fire affected housing prices in vulnerable neighboring areas that were not directly impacted by the fire, controlling for the property’s level of risk. This damaging fire may have increased home owners’ perceptions about the risk of living in forested areas subject to wildfires to a significant degree adding to the total direct economic losses from the fire. Utilizing a unique fire risk data set and a difference-in-difference approach, we test whether buyers of houses in areas with different risk levels prior to the fire adjust expectations differently. We find buyers in the highest risk area are most likely to change their perceptions in response to a fire with houses in these areas experiencing a statistically significant 21.7% decline in sale price compared to houses in non-risky areas.</p></div>\",\"PeriodicalId\":54831,\"journal\":{\"name\":\"Journal of Forest Economics\",\"volume\":\"33 \",\"pages\":\"Pages 1-7\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.jfe.2018.09.002\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Forest Economics\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1104689917301368\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forest Economics","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1104689917301368","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
The effect of natural disasters on housing prices: An examination of the Fourmile Canyon fire
In September 2010, the Fourmile-Lefthand Canyon forest fire burned 6181 acres, destroyed 169 homes, and caused $217 million in property damages making it by far the most expensive fire in Colorado history at the time. This paper examines how the fire affected housing prices in vulnerable neighboring areas that were not directly impacted by the fire, controlling for the property’s level of risk. This damaging fire may have increased home owners’ perceptions about the risk of living in forested areas subject to wildfires to a significant degree adding to the total direct economic losses from the fire. Utilizing a unique fire risk data set and a difference-in-difference approach, we test whether buyers of houses in areas with different risk levels prior to the fire adjust expectations differently. We find buyers in the highest risk area are most likely to change their perceptions in response to a fire with houses in these areas experiencing a statistically significant 21.7% decline in sale price compared to houses in non-risky areas.
期刊介绍:
The journal covers all aspects of forest economics, and publishes scientific papers in subject areas such as the following:
forest management problems: economics of silviculture, forest regulation and operational activities, managerial economics;
forest industry analysis: economics of processing, industrial organization problems, demand and supply analysis, technological change, international trade of forest products;
multiple use of forests: valuation of non-market priced goods and services, cost-benefit analysis of environment and timber production, external effects of forestry and forest industry;
forest policy analysis: market and intervention failures, regulation of forest management, ownership, taxation;
land use and economic development: deforestation and land use problem, national resource accounting, contribution to national and regional income and employment.
forestry and climate change: using forestry to mitigate climate change, economic analysis of bioenergy, adaption of forestry to climate change.