BRAIN DRAIN AND ITS IMPACT ON NEPALESE STUDENTS

Date
2024
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Shanker Dev Campus
Abstract
This study is examined brain drain and its impact on Nepalese Students. The main objectives of this study are to assess the current status of brain drain on its impact on Nepalese students, to examine the negative outcomes of the migration of skilled professional causing brain drain on Nepalese students and to analyze the positive outcomes of skilled migration leading to brain drain on Nepalese students. Employment Prospectus (EP), Economics Uplifts (EU), Education, Personal Ambition (PA) and Migration Policies (MP) are the independent variables and Brain Drain (BD) is the dependent variable in this study. Descriptive statistics, correlation and multiple regression analysis are taken to present data. The major finding of this study were the correlation matrix highlights several strong and significant relationships among the variables. Brain Drain (BD) shows the strongest correlations with Employment Prospectus (EP) and Economic Uplift (EU), indicating that diversification is closely tied to these factors. Education (Edu) also plays a significant role in relation to diversification, economic performance, and environmental uncertainty. Personal Ambition (PA) and Migration Policies (MP), while showing significant correlations with the other variables, generally have weaker relationships. These findings suggest that brain drain, employment prospects, and educational attainment are key factors interconnected with economic uplifts and personal ambition, ultimately impacting migration policies. Comparatively, EP and EU are the most significant predictors of Brain Drain, with high t-values and significance levels of .000. Their positive coefficients and high standardized coefficients indicate that better employment prospects and economic conditions strongly drive Brain Drain. PA also has a significant positive effect, though its impact is smaller. In contrast, Edu and MP do not significantly predict Brain Drain, as indicated by their higher p-values and low standardized coefficients. Personal Ambition also plays a role, though to a lesser extent. Education and Migration Policies, on the other hand, do not have a significant impact on Brain Drain. These findings provide valuable insights into the factors that drive Brain Drain and suggest that enhancing employment opportunities and economic conditions are crucial in addressing this issue.
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