Address:
Economics Discipline Khulna University-9208 Bangladesh
Email:
nasif.ahsan@econ.ku.ac.bd
Contact:
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click hereClimatic Events and Involuntary Non-migration Decision: A Study in Southwestern Coastal Bangladesh
This study tries to explore
the factors that affecting involuntary non-migration decision in
the Southwestern coastal region in Bangladesh. Total 270 non-migrants people have
been selected a through multi-stage sampling technique for this study.
Analytical methods such as logit regression, summary statistics, principal
component analysis (PCA) are used to achieve the objective of the research. The
author finds, most of the trapped people aged between 36-45 years and the
primary educated people frequently fall into trapped. Local Mahajans have an
impact at the time of taking migration decision. Since 62.96 percent of the
respondent avail loan from local Mahajan and most often the loan borrower failed
to repay that loan on due time Hence, the local Mahajans forced them to be
trapped. Author finds, male are the decision maker at the time of migration
related decisions arise. The coefficient of credit sources reveals that 9.1
percent people are less likely to take migration decision compared to those who
has a less credit source. Author finds
that 86.67 percent respondent have a migration history where migration history
(71.11 percent) is greater than their
female counterparts (15.56 percent). If the sources of credit increases, people
will fall in debt more frequently. Author finds that, there is a positive
significant impact of disaster risk on the involuntary non-migrants people and
it is statistically significant at 1 percent level. This study also explored
that bad physical condition, weak mentality that does not permit to migrate.
The negative coefficient of ability does not permit to migrate indicates
that they are 1.8% less likely to migrate compared to those are able to
migrate.
| Details | |||
| Role | Supervisor | ||
|---|---|---|---|
| Class / Degree | Bachelor | ||
| Students | Md. Ibrahim
Student
Number: BSS 171527 | ||
| Start Date | |||
| End Date | January 2022 | ||