Using Multilevel Model to Investigate Factors Affecting on Intention to Stay of Young People in Villages (Case Study: The Selected Cities of Kermanshah Province)

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The present study, using ordered multilevel model, examines Intention to stay of young people in Villages in selected cities of Kermanshah province for 1396. Three cities of Qasr_shirin, Paveh and Harsin and one village from villages of each city were randomly selected using two stage stratified sampling method. Dependent variable is Intention to stay of young people in Villages to five years. The results of study confirmed existence of inconsistencies between villages and studied cities. Gender variable was effective on Intention to stay of young people in Villages. On the other hand, accuracy of multilevel model compared to other old model showed that variables of education and age were insignificant unlike other studies. The variables of rural facilities, population and distance from village to city were also significant at village’s level and finally, population variable in level third. Based on research results, improving rural roads and increasing rural facilities can affect survival of rural youth in the study area. Therefore, it is possible to reduce migration of young people by increasing basic welfare facilities and infrastructure of motive road. On the one hand, with increasing in amenities, other services and non-agricultural jobs associated with the variable subdivisions of rural facilities are created. Hence, income gaps between rural and urban areas will be reduced, thus preventing from evacuation of villages. Regarding confirmation of heterogeneity in surveyed community, it was concluded that the implementation of general policies to reduce migration of young people has always failed. Therefore, it is suggested that in the policies related to the decrease of rural population, villages of each village and each city are separately analyzed and not provincial.
JEL Classification:C81, D04, O12

Language:
Persian
Published:
Journal of Economic Research, Volume:54 Issue: 128, 2019
Pages:
695 to 737
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