IMPACT OF INTERNAL MIGRATION ON INCOME AND POVERTY: A STUDY ON GOPALGANJ DISTRICT

Abstract

Rapid industrialization, urbanization, and climate change are all factors that affect migration. This study investigates the impact of internal migration on income level in a southwestern district of Bangladesh. The study employs multistage random sampling and the data is collected from a total of 81 respondents from Kashiani upazilla in Gopalganj district. The study uses descriptive statistics, ordinary least squares (OLS) and logistic regression models to come up with the empirical results. According to the study findings, households with three to four members, on average, have one or more migrants. The regression results also show that internal migration positively affects per capita household income and negatively affects income-poverty. Furthermore, internal migration reduces income-poverty. The logistic regression model shows that migrated people are, on average, 0.194 percent less likely to fall into the income-poverty group compared to the non-migrant people. Policymakers and development practitioners may focus on policies and programs that aim to improve education levels, and increase access to credit and other financial resources to promote sustainable economic growth in the region.