Understanding the Determinants of Emigration Decisions among the Afghan Population

Najib RAHMAN RAHMAT

https://doi.org/10.53465/EDAMBA.2023.9788022551274.237-249

 

Abstract. This study examines the factors influencing emigration decisions in Afghanistan from 2016 to 2021. Specifically, it analyzes the influence of economic, social, and demographic factors on emigration decisions, using a binary logistic regression model and a cross-sectional time series dataset. It finds that owning small land portions, less livestock, and having lower income positively influence emigration likelihood, while owning large land holdings, more livestock, and higher income have a negative correlation. Social factors like political instability, poor public services, insecurity, violence, and family connections abroad play a significant and positive role. Demographic factors such as being young, educated, single, male, living in urban areas, and belonging to smaller households are positively influence the decision to emigrate, while uneducated individuals show a negative influence. The research has implications for public policy, academia, and international donor organizations, emphasizing the need to address push factors in the source country. Future studies can expand the analysis to include additional factors and multiple countries.

Keywords: Afghanistan, Emigration Decision, Economic Factors, Social Factors, Demographic Factors, Logistic

JEL classification: O15, F22, J15

Acknowledgement: This research was funded by Vega research project no. 1/0037/20 "New challenges and solutions for employment growth in changing socio-economic conditions". 

Fulltext: PDF

Online publication date: 25 January 2024

ISBN: 978-80-225-5127-4

Publisher: University of Economics in Bratislava

Pages: 237-249

 

To cite this proceedings paper (STN ISO 690 and 690-2): 

RAHMAT, R., N. 2024. Understanding the Determinants of Emigration Decisions among the Afghan Population. In PETROVSKÁ, F. (ed.). EDAMBA 2023: Conference Proceedings. Bratislava: University of Economics in Bratislava, 2024. ISBN 978-80-225-5127-4, pp. 237-249.

https://doi.org/10.53465/EDAMBA.2023.9788022551274.237-249