Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado

IF 1.5 3区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Environmetrics Pub Date : 2025-03-24 DOI:10.1002/env.70007
Kadie S. Clark, J. Isaac Miller
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引用次数: 0

Abstract

We estimate the historical effects of climate change on real estate prices in the San Juan Mountain Region of Southwestern Colorado, an area strongly influenced by outdoor recreation-based tourism, and we use these estimates to make projections for future house prices in the region based on multiple anthropogenic climate forcing scenarios. We find that local warm-season minimum and cold-season temperature and local warm-season maximum temperature have significantly positive long-run relationships with global anthropogenic climate forcing. Moreover, once we control for non-climate factors that affect the housing market, we find that local cold-season precipitation and local warm-season maximum temperature have significant but opposite effects on local house prices. Scenario-based projections suggest that these two effects largely negate each other under any climate scenario, so that effects of climate change on house prices are expected to continue through the end of the century as they have over the past few decades.

气候变化对户外旅游目的地房价的影响——以美国科罗拉多州西南部为例
我们估算了气候变化对科罗拉多州西南部圣胡安山区房地产价格的历史影响,该地区深受户外休闲旅游业的影响,我们利用这些估算结果,根据多种人为气候作用情景,对该地区未来的房价进行了预测。我们发现,当地暖季最低气温和冷季气温以及当地暖季最高气温与全球人为气候作用力有显著的长期正相关关系。此外,一旦我们控制了影响住房市场的非气候因素,我们发现当地冷季降水量和当地暖季最高气温对当地房价有显著但相反的影响。基于情景的预测表明,在任何气候情景下,这两种影响在很大程度上都是相互抵消的,因此气候变化对房价的影响预计会像过去几十年一样持续到本世纪末。
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来源期刊
Environmetrics
Environmetrics 环境科学-环境科学
CiteScore
2.90
自引率
17.60%
发文量
67
审稿时长
18-36 weeks
期刊介绍: Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
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