Cited by 39Climate Change, Adaptation, MigrationClimate Change Communication and PerceptionHydropower, Displacement, Environmental Impact

Promise, premise, and reality: the case of voluntary environmental non-migration despite climate risks in coastal Bangladesh

Open access
Ahsan, Md. Nasif, Khatun, Fatema, Kumar, Pankaj, Dasgupta, Rajarshi, Johnson, Brian Alan, Shaw, Rajib·2022·Regional Environmental Change

Abstract

Despite confronting severe climatic risks, many people prefer to remain in climate hazard-prone areas rather than migrate. Environmental non-migration behavior, however, has gained relatively little research attention in the field of migration processes. This study aims to unveil the determinants motivating voluntary environmental non-migration decisions in coastal Bangladesh, an area highly exposed to flooding and other climate-related hazards (e.g., soil salinization). Applying a systematic random sampling, we selected 556 household respondents for a questionnaire survey from 14 villages of two coastal districts: Khulna and Satkhira. Applying a mixed method (i.e., both quantitative and qualitative) approach, major empirical results of this study suggest that even though all respondents lived in a similar situation in terms of climatic hazard and exposure, 88% of the respondents reported themselves as voluntary non-migrants. Furthermore, these non-migrants enjoyed higher socioeconomic and sociopsychological advantages and availed more local support from different government and non-government organizations than involuntary non-migrants. Again, mutual assistance, connection with social groups, natural resource access, sense of secured livelihood, stable societal atmosphere, and participation in decision-making in society appeared to build their higher degree of social capital $$({\chi }^{2}\left(4\right)=57.80;p<0.000)$$ ( χ 2 4 = 57.80 ; p < 0.000 ) compared to involuntary non-migrants. All these features lead to a favorable environment that ultimately drove the respondents to become voluntary non-migrants.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10113-021-01864-1

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Other studies of immobility in environmentally exposed areas of Bangladesh find that 84% to 88% of immobility is voluntary, based on respondents' self-assessment.

    “This split is similar to other studies of immobility in environmentally exposed areas of Bangladesh, which find that 84% (Khatun et al. 2022) to 88% (Ahsan et al. 2022) of immobility is voluntary, based on respondents’ self-assessment.”

    From Trapped by climate change? (In)voluntary immobility in Bangladesh (2025) · cites this paper as Ahsan et al. 2022

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Adger WN, Pulhin JM, Barnett J, Dabelko GD, Hovelsrud GKM et al (2014) Human security. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatarjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, Mac- Craken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assess- ment Report of IPCC. Cambridge University Press, Cambridge and New York 755-791
  2. Mallick B (2019) The nexus between socio-ecological system, live- lihood resilience, and migration decisions: empirical evidence from Bangladesh. Sustainability (Switzerland) 11. https:// doi. org/ 10. 3390/ su100 23332 · DOI

Cited by

Sorted by citations

Authors
Ahsan, M. N., Khatun, F., Kumar, P., Dasgupta, R., Johnson, B. A., & Shaw, R.
Affiliations
  • Khulna University (BD)
  • Institute for Global Environmental Strategies (JP)
  • Keio University (JP)
Corresponding author
  • Ahsan, Md. Nasif
  • Kumar, Pankaj
Venue
Regional Environmental Change
Published
2021-12-11
Volume
22
Issue
1
Pages
not provided
ISSN
  • 1436-378X (ISSN-L)
  • 1436-3798
OpenAlex
W4200150140
Cited by
39
References
33
Citations by year
2026: 2 · 2025: 10 · 2024: 9 · 2023: 11 · 2022: 7
FWCI
9.35
Type
journal article
Language
en
Open access
Locations
  • Regional Environmental Change (publishedVersion, cc-by)
  • Institutional Repositories DataBase (IRDB) (submittedVersion)
  • Greater South Information System
Funders
Asia-Pacific Network for Global Change Research (CRRP2019-01MY-Kumar)
Topics
  • Social Sciences › Sociology and Political Science › Climate Change, Adaptation, Migration
  • Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
  • Social Sciences › Sociology and Political Science › Hydropower, Displacement, Environmental Impact
Keywords
climate risk, coastal Bangladesh, social capital, migration determinants, floods, soil salinization, household livelihoods, mutual aid, social networks, access to natural resources, decision-making participation, non-governmental organizations

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review