Abstract:

In this study, the relationship between the net migration rate in Turkey between 2008-2019 and the Real Gross Domestic Product (GDP) per Capita was tested with the Spatial analysis method. Net migration is expressed as the difference between the migration received by a particular settlement and the migration given. The value obtained by dividing the net migration value by the mid-year population and multiplying by one hundred or a thousand is expressed as the net migration rate. The phenomenon of migration that takes place in a certain place is one of the factors affecting per capita income. Spatial Analysis, on the other hand, determines the interaction between variables between units that are geographically close to each other. In the results of working; Provinces with strong and weak spatial relationships between net migration rate and GDP data for the specified years for Turkey were identified. Spatial distribution maps were drawn, Moran I index results, low increasing positive autocorrelation was detected in GDP data for the determined years, while high positive decreasing autocorrelation was detected for net migration rate data. Then, with the LISA clustering maps, the relationship between the provinces was low, high, and unrelated clustered.

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