Abstract

Optimal planning of the health workers is of vital importance for a country. Distribution of health workers among provinces in emerging markets is an important development criterion. In this study, biplot graphical approach is used to determine the distribution of health workers. The results of biplot analysis point out that the distribution of the healthcare staff in Turkey is unbalanced. The number of health workers should be planned and considered according to the desire, need, population, target and workload criteria. The new employment opportunities should be created and the workers should be encouraged to serve in low income regions by providing better conditions.

Highlights

  • The inequality between the regional differences among the residential suitable premises of any country is one of the frequent main stream subjects of the macroeconomics

  • Wharrad and Robinson (1999) compare the international distribution of physicians and nurses by country and analyses the effects of national income on the distribution. They find that the Gross Domestic Product (GDP) per capita is an important variable in the distribution of physicians and nurses

  • We used correspondence analysis biplot method for investigating the health care labor in Turkey according to provinces, years and the establishment

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Summary

Introduction

The inequality between the regional differences among the residential suitable premises of any country is one of the frequent main stream subjects of the macroeconomics. Anand (2010) claims that the overall inequality in the health-worker distributions is significantly higher in India than in China. In both countries the nurses are more unequally distributed than the other health worker categories. Wharrad and Robinson (1999) compare the international distribution of physicians and nurses by country and analyses the effects of national income on the distribution. They find that the Gross Domestic Product (GDP) per capita is an important variable in the distribution of physicians and nurses. As a macroeconomic variable inheriting aggregate information about the overall economy, we consider the GDP per person and investigate the relation with the number of nurses and physicians per population

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