Abstract:
Rural-urban migration is a prevalent demographic occurrence observed in developing
nations. Among the South Asian countries, Bangladesh has experienced the most
substantial urbanization rate over the past forty years, largely fueled by the movement
of people from rural to urban areas. This form of migration brings significant
economic and social consequences for individuals residing in both the rural regions
and the urban destinations. The main objective of this study was to explore the
determinants of rural-urban migration and its impact on household income for analyze
the socio-economic condition of migrants and non-migrants. Focusing on the Bogura
and Gaibandha districts, the researcher collected primary data from 80 rural
households, with 40 identified as migrants and 40 as non-migrants. A structured
interview schedule was used for data collection from January to June 2022. The study
employs a binary Probit regression model to identify the determinants of migration
and an Ordinary Least Square (OLS) model to assess the impact of migration on
household income. The results from the probit model revealed that, gender, earning
members, member of societal group and receiving training had a positive impact on
migration decision and household size of the family had a negative impact on
migration decision. Based on the findings from OLS model, migration had a positive
and significant impact on household income. The findings revealed that, migrant
households have an income that is 42.2 percent higher than non-migrant households.
Finally, the findings will shed light on the dynamics of migration and its relationship
with household income, emphasizing the need to consider multiple factors when
analyzing migration patterns and their consequences.
Description:
A Thesis
Submitted to the Department of Development and Poverty Studies,
Sher-e-Bangla Agricultural University, Dhaka-1207, in
partial fulfillment of the requirements
for the degree of
MASTER OF SCIENCE
IN
DEVELOPMENT AND POVERTY STUDIES