Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29884
Title: Factors Influencing Rural Youth Migration in North Macedonia
Other Titles: /
Authors: Gjosheva Kovachevikj, Marija 
Dimitrov, Lazo 
Popovska Stojanov, Despina
Martinovska stojcheska, Aleksandra 
Keywords: Binary logistic regression, Odds ratio, Rural-urban migration, Rural policies
Issue Date: 2024
Publisher: The Faculty of Agriculture, University in Banja Luka
Project: Research of the socio-economic situation of rural youth in N. Macedonia/Истражување на социоекономската состојба кај младите во руралните средини во С. Македонија
Conference: XIII International Symposium on Agricultural Sciences, Agrores 2024
Abstract: The migration of young people from rural to urban areas poses a significant challenge to the sustainable development of rural communities in North Macedonia, leading to an aging population and diminished natural growth. This trend exacerbates socioeconomic inequalities, fostering social insecurity and the exclusion of rural youth. The far-reaching consequences of this migration influence both urban and rural landscapes across various developmental domains. To that end, this research aims to investigate the impact of main socioeconomic factors on rural youth migration. A survey of 550 rural residents aged 18-40 addressed was conducted using a tailored questionnaire. The data collection approach ensured nationwide diversity across all Macedonian planning regions, nationalities, genders and village types. Data processing involved the application of standard descriptive analysis and a binary logistic regression approach. Key findings show that factors such as gender, marital status, region, nationality, education, employment and having family agricultural holdings do not significantly impact rural youth migration. On the contrary, having children, household size, perceptions of employment opportunities, urban or rural lifestyle preferences and overall rating the quality of life in rural areas exhibit notable significance. These findings contribute to a greater understanding of the complexities surrounding rural youth migration. In conclusion, the logistic regression model serves as a powerful tool to pinpoint crucial factors influencing rural youth migration. These insights provide a solid foundation for shaping targeted policies, essential for retaining and supporting rural youth and fostering sustainable development in both urban and rural areas of North Macedonia.
URI: http://hdl.handle.net/20.500.12188/29884
Appears in Collections:Institute of Agriculture: Conference papers

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