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Spatial distribution of health and treatment from social justice view Case study: cities of Mazandaran province

Amer NikpourDepartment of Geography and Urban Planning, University of Mazandaran,IranMorteza Mehralitabar FiruzjahiPhD. D Geography and Rural Planning, University of KhwarizmiMorteza RezazadehMA Graduate in Geography and Urban Planning, University of MazandaranFatemeh Allahgholitabar NesheliMA Graduate in Geography and Urban Planning, University of Mazandaran
2018en

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Annotatsiya

The overall purpose of spatial planning is to establish social justice and distribution of wealth and welfare among people of community. Unbalancing among the developing countries cause to gap and increased regional inequality. In this regard, studying economic, social and educational inequality and regional welfare is an important intervention for planning to economic growth, social welfare and spatial arrangement of national/regional economic. The present paper has an applied approach and the research method is descriptive-analytic. For analyzing data these procedures are used which include: techniques and models of Variation coefficient, Entropy coefficient, Composite index, Lorenz curve and Gini coefficient within SPSS, GIS also by thirteen health and treatment indexes. Required data were provided from statistical center of Iran and other organizations. Findings of this investigation indicate that dispersion coefficient of several health and treatment services indexes are very different: in this manner that variation coefficient is varied .25 to 1.01 in the province. The main reason of this variation in geographical divisions of Mazandaran is the differences in number of graduated students of medical science and private investments in some indexes. Based on achieved Composite index, Sari and Babolsar are the most possessed and deprived cities in Mazandaran with regard to health and treatment services. Gini coefficient achieved from 1390 state show that spatial distribution of health and treatment services has not been balanced yet. However, calculating the entropy coefficient in shows that the distribution of health services is moving towards more balance and spatial regulation.

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