A market for snow: Modeling winter recreation patterns under current and future climate

Parthum, Bryan; Christensen, Peter O.

doi:10.1016/j.jeem.2022.102637

Cited by 8 publications

(5 citation statements)

References 30 publications

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“…(2011) identify reduced home prices adjacent to ski resorts known for inconsistent snowfall. Similarly, Parthum and Christensen (2022) find regional variation in marginal willingness to pay for mountain snowpack. Meanwhile, Duan and Li (2022) find that abnormally high temperatures may discourage traditional lenders, with fintech lenders stepping in to fill the gap partially.…”

Section: Physical Risksmentioning

confidence: 84%

When climate meets real estate: A survey of the literature

Contat,

Hopkins,

Mejia

et al. 2024

Real Estate Economics

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With near unanimity, climate scientists project natural disasters to increase in frequency, severity, and geographic scope over the next century. We survey academic literature at the intersection of these climate risks and real estate. Our review of physical risks includes price, loan performance, and migratory effects stemming from flooding, wildfires, and sea level rise. We review transition risks, including energy use and decarbonization, as they relate to real estate. Where possible, we explain how these topics may intersect with housing affordability, especially in historically disadvantaged communities. We conclude by highlighting critical areas for future research.

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Section: Physical Risksmentioning

confidence: 84%

When climate meets real estate: A survey of the literature

Contat,

Hopkins,

Mejia

et al. 2024

Real Estate Economics

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“…The use of big data in ecosystem management is becoming popular (Parthum & Christensen, 2022; Wang et al, 2022). The technical process we propose caters to this trend.…”

Section: Discussionmentioning

confidence: 99%

“…The new findings can help policymakers to build more sustainable tourism development strategies. Real-world examples illustrate the availability and value of our data.The use of big data in ecosystem management is becoming popular(Parthum & Christensen, 2022;Wang et al, 2022). The technical process we propose caters to this trend.…”

mentioning

confidence: 99%

Ecological challenges on small tourist islands: A case from Chinese rural island

Zhang,

Dou,

Liu

et al. 2023

Sustainable Development

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The expansion of the global tourism market has accelerated the development of small tourist islands. The rapid growth of tourist scale and activity intensity poses a potential threat to the fragile ecosystems of small islands. This article focuses on the ecological stresses small tourism islands face in their development. Compared with similar studies, we found a more flexible way to measure ecological stress of current activities. We show a framework for ecological stress assessment on small rural islands and illustrate it with Weizhou Island, China. It reveals a new approach to combining ecological footprint, geographic data, and visitor activity data. This combination enables a spatial linkage between biophysical and social surveys. To verify the validity of the assessment framework, we assessed the spatial distribution of ecosystem loss on the island using habitat quality. A multi‐scale geographically weighted model describes the spatial correlation between ecological stress and habitat quality. Real‐world application cases were used to test the usability and practical use of the policy assessment framework. We provide methodological and application‐based contributions to support the sustainable development of small tourist islands. Overall, the assessment framework offers a reliable solution for systematically collecting, analyzing, and reporting ecological stresses faced by small tourist islands.

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“…The role of natural snow for downhill skiing based on historical data or based on climate scenarios is well studied (Steiger et al 2019 for an overview). Research that models the relationship between winter tourism demand and snow conditions uses data with different frequencies (at the daily level see Englin and Moeltner 2004;Parthum and Christensen 2022; at the monthly or annual data see Prettenthaler et al 2022), levels of aggregation (ski resorts, villages and regions) or definitions of winter tourism demand (skier visits, lift ticket sales, overnight stays, arrivals).…”

Section: Conceptual Background and Previous Literaturementioning

confidence: 99%

Importance of temporary and permanent snow for new second homes

2023

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This study investigates empirically how natural snow depth and permanent snow affect the number of new second homes in Norway. One out of four Norwegian municipalities is partly covered by glaciers and permanent snow. In the winter seasons of 1983–2020, there is a decline in snow depth from 50 to 35 cm on average (based on 41 popular second-home areas in the mountains). Results of the fixed effects Poisson estimator with spatial elements show that there is a significant and positive relationship between natural snow depth in the municipality and the number of second homes started. There is also a significant and negative relationship between the number of new second homes in the municipality and a scarcity of snow in the surrounding municipalities. However, the magnitude of both effects is small. Estimates also show a strong positive relationship between the proportion of surface covered by permanent snow or glaciers in the municipality and new second homes. This implies that a decline in permanent snow and glaciers may make these areas less attractive for the location of second homes.

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A market for snow: Modeling winter recreation patterns under current and future climate

Cited by 8 publications

References 30 publications

When climate meets real estate: A survey of the literature

When climate meets real estate: A survey of the literature

Ecological challenges on small tourist islands: A case from Chinese rural island

Importance of temporary and permanent snow for new second homes

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