Evidence map›Paper›PMID 38467636›Full record

ArticleNature communications2024

Policy and market forces delay real estate price declines on the US coast.

Dylan E McNamara, Martin D Smith, Zachary Williams, Sathya Gopalakrishnan, Craig E Landry

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dylan E McNamara *Department of Physics and Physical Oceanography, UNC Wilmington, Wilmington, NC, 28403, USA.ORCID 0000-0001-8752-1586
Martin D Smith *Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA. martin.smith@duke.edu.ORCID 0000-0002-4714-463X
Zachary WilliamsDepartment of Physics and Physical Oceanography, UNC Wilmington, Wilmington, NC, 28403, USA.
Sathya GopalakrishnanDepartment of Agricultural, Environmental, and Development Economics, The Ohio State University, Columbus, OH, 43210, USA.
Craig E LandryDepartment of Agricultural and Applied Economics, University of Georgia, Athens, GA, 30602, USA.

Funding

National Science Foundation (NSF) CNH 1715638
6 · The paper itself

Abstract

Despite increasing risks from sea-level rise (SLR) and storms, US coastal communities continue to attract relatively high-income residents, and coastal property values continue to rise. To understand this seeming paradox and explore policy responses, we develop the Coastal Home Ownership Model (C-HOM) and analyze the long-term evolution of coastal real estate markets. C-HOM incorporates changing physical attributes of the coast, economic values of these attributes, and dynamic risks associated with storms and flooding. Resident owners, renters, and non-resident investors jointly determine coastal property values and the policy choices that influence the physical evolution of the coast. In the coupled system, we find that subsidies for coastal management, such as beach nourishment, tax advantages for high-income property owners, and stable or increasing property values outside the coastal zone all dampen the effects of SLR on coastal property values. The effects, however, are temporary and only delay precipitous declines as total inundation approaches. By removing subsidies, prices would more accurately reflect risks from SLR but also trigger more coastal gentrification, as relatively high-income owners enter the market and self-finance nourishment. Our results suggest a policy tradeoff between slowing demographic transitions in coastal communities and allowing property markets to adjust smoothly to risks from climate change.

Indexed as

FloodsSea Level RiseClimate ChangePolicy

Identifiers

PMID38467636
PMCPMC10928214

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.