Practices and pitfalls of competitive resilience: urban adaptation as real estate firms turn climate risk to competitive advantage
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Increasing reliance on private finance has allowed real estate and investment firms to seize land and benefits for adaptation, while further marginalizing, invisibilizing, and displacing vulnerable residents.
“studies have also shown that the increasing reliance on private finance has allowed real estate and investment firms to seize land and benefits for adaptation, while further marginalizing, invisibilizing, and displacing vulnerable residents (Robin and Castán Broto, 2020;Teicher, 2018).”
From Intersectional climate justice: A conceptual pathway for bridging adaptation planning, transformative action, and social equity (2022) · cites this paper as Teicher, 2018
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References 53 · Cited by 26
- Authors
- Teicher, H. M.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Teicher, Hannah M.
- ORCID
- Teicher, Hannah M.
- Venue
- Urban Climate
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 25
- Pages
- 9-21
- ISSN
- 2212-0955 (ISSN-L)
- OpenAlex
- W2802801727
- Cited by
- 26
- References
- 53
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 3
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Urban Climate (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Urban Studies › Urban Planning and Governance
- Keywords
- urban adaptation, real estate companies, climate risk, competitive advantage, sea level rise, coastal cities, flood risk management, growth coalitions, neoliberal urban governance, uneven development, regional adaptation, East Coast of the United States
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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