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Trapped by climate change? (In)voluntary immobility in Bangladesh.

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Many people stay in vulnerable areas by choice, not because they are "trapped" by environmental change. This study on environmental migration in Bangladesh reveals most non-migrants have the capability to move, challenging previous assumptions.

Keywords:
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Area of Science:

  • Environmental Science
  • Sociology
  • Migration Studies

Background:

  • Conceptual discussions of
  • trapped populations
  • in environmental migration are common, but empirical evidence is limited.
  • Environmental shocks like riverbank erosion and flooding displace many people.
  • Understanding immobility in vulnerable areas is crucial for effective policy.

Purpose of the Study:

  • To empirically investigate the phenomenon of
  • trapped populations
  • in the context of environmental migration.
  • To differentiate between voluntary and involuntary immobility among those who remain in environmentally vulnerable areas.
  • To analyze the factors influencing migration aspirations and capability to move.

Main Methods:

  • Analysis of newly collected survey panel data from 1515 household heads in Bangladesh along the Jamuna River.
  • Assessment of migration aspirations and capability to move among non-migrants after environmental shocks.
  • Statistical analysis to determine the impact of environmental shocks on immobility and socio-economic status.

Main Results:

  • The majority (82%) of non-migrants are voluntary non-migrants.
  • A significant minority (13%) can be classified as
  • trapped
  • (involuntary immobility).
  • Experiencing erosion significantly increases involuntary immobility and lowers socio-economic status.

Conclusions:

  • Environmental change can trap populations by reducing their capability to move while increasing migration aspirations.
  • A majority of people remaining in exposed areas are voluntary non-migrants, not necessarily trapped.
  • Policy interventions should consider individual migration aspirations and capabilities, avoiding blanket assumptions about
  • trapped
  • populations.