Document Type : Research Paper
Authors
1 Assistant Professor of Geography and Rural Planning, University of Tabriz
2 دانشجو
3 Ph. D. Student
Abstract
Today employment is one of the most important indicators of development in the countries. The analysis of the employment process and its structure across the country and its various areas requires accurate knowledge of the potentialities and their composition in the areas , to create balanced planning and employment in each area. This research is descriptive-analytic and aims to analyze the spatial distribution pattern of public and private sector employees in Iranian Townships. The statistical population consists of 397 Township all over of Iran, whose statistics and data were from the general census of population and housing in 2016. In this regard, after collecting the data and theoretical studies of public and private sector employees, the spatial automation correlation model based on the Moran's I index and Spatial Statistics Tools used for spatial and Hot Spot Analysis with Rending. The results of data analysis indicate that the distribution patterns of public and private sector employees in the Iranian Townships is clustered (was not distributed uniformly in the different Townships). Also, according to the analysis of Hot Spots, the distribution of employees in the public and private sectors was observed, with the highest in Tehran and centralized in a radius of approximately 300 km from it (although Tehran itself is confined with a 95% confidence level), and the rest of the Townships have more balanced distributions.
Highlights
Today employment is one of the most important indicators of development in the countries. The analysis of the employment process and its structure across the country and its various areas requires accurate knowledge of the potentialities and their composition in the areas , to create balanced planning and employment in each area. This research is descriptive-analytic and aims to analyze the spatial distribution pattern of public and private sector employees in Iranian Townships. The statistical population consists of 397 Township all over of Iran, whose statistics and data were from the general census of population and housing in 2016. In this regard, after collecting the data and theoretical studies of public and private sector employees, the spatial automation correlation model based on the Moran's I index and Spatial Statistics Tools used for spatial and Hot Spot Analysis with Rending. The results of data analysis indicate that the distribution patterns of public and private sector employees in the Iranian Townships is clustered (was not distributed uniformly in the different Townships). Also, according to the analysis of Hot Spots, the distribution of employees in the public and private sectors was observed, with the highest in Tehran and centralized in a radius of approximately 300 km from it (although Tehran itself is confined with a 95% confidence level), and the rest of the Townships have more balanced distributions.
Keywords
Main Subjects
)