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

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.

Authors

Institutions

Publication Details

Journal
Environmetrics
Published
2025-03-24
DOI
https://doi.org/10.1002/env.70007
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

J. Isaac Miller, K. W. CLARK
Environmetrics
Housing Market and Economics
article

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

J. Isaac Miller, K. W. CLARK
article en

Abstract

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.

EnvironmetricsVol. 36(3)
University of Missouri (US)
Openalex Percentile: Top 92%
Housing Market and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.