Cited by 73Climate Change, Adaptation, MigrationHydropower, Displacement, Environmental ImpactSustainability and Climate Change Governance

How do sustainable livelihoods influence environmental (non-)migration aspirations?

Mallick, Bishawjit, Sultana, Zakia, Bennett, Christy M.·2020·Applied Geography

Integrity signals

Registry

Crossref · 10.1016/j.apgeog.2020.102328

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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  • Evidence from different contexts suggests that people prefer adapting in situ over relocating if they have a choice.

    “Evidence from different contexts suggests that indeed, people prefer adapting in situ over relocating if they have a choice (Amakrane et al., 2023; Jamero et al., 2017; Mallick et al., 2020; Seebauer & Winkler, 2020).”

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Authors
Mallick, B., Sultana, Z., & Bennett, C. M.
Affiliations
  • Technische Universität Dresden (DE)
  • Gopalganj Science and Technology University (BD)
Corresponding author
Mallick, Bishawjit
Venue
Applied Geography
Publisher
Elsevier BV
Published
2020-11
Volume
124
Pages
102328
ISSN
0143-6228 (ISSN-L)
OpenAlex
W3089035043
Cited by
73
References
56
Citations by year
2026: 9 · 2025: 11 · 2024: 18 · 2023: 12 · 2022: 10 · 2021: 13
FWCI
11.68
Type
journal article
Language
en
Open access
closed
Locations
Applied Geography (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Climate Change, Adaptation, Migration
  • Social Sciences › Sociology and Political Science › Hydropower, Displacement, Environmental Impact
  • Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
Keywords
sustainable livelihoods, environmental migration, social-ecological systems, livelihood adaptation, disaster risk, coastal communities, southwest coastal Bangladesh, livelihood strategies

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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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