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Health Care Satisfaction: Efficiency And Spatial Interaction Analysis

Author

Listed:
  • Atalay ÇAÄžLAR

    (Pamukkale Ãœniversitesi/TÃœRKÄ°YE)

  • Ferda Esin GÃœLEL

    (Pamukkale Ãœniversitesi/TÃœRKÄ°YE)

Abstract

In this study, the health care in the provinces of Turkey is discussed . First, the technical efficiencies(CCR), pure technical efficiencies (BCC) and scale efficiencies in the healthcare by using Data Envelopment Analysis (DEA) are identified. The weights of inputs and outputs are restricted by Assurance Region(AR) approach by using BCC and CCR models in output oriented data. 11 technical efficient, 20 pure technical efficient and 11 scale efficient of 81 provinces are identified in Health Service Presentation. The scores of scale efficiency of provincies’ healthcare are found quite big. Besides for inefficient provinces, possible benchmark provinces are also suggested. In the second part of the study, the satisfaction rate of healthcare(dependent variable), is estimated by spatial modelling method which the independent variables are CCR scores, BCC scores and some selected variables. While the CCR scores are significant on the satisfaction, it is found that BCC scores are insignificant. In addition, a spatial interaction on the satisfaction rate is also found as a result.

Suggested Citation

  • Atalay ÇAÄžLAR & Ferda Esin GÃœLEL, 2015. "Health Care Satisfaction: Efficiency And Spatial Interaction Analysis," JOURNAL OF LIFE ECONOMICS, Holistence Publications, vol. 2(2), pages 29-58, April.
    • Handle: RePEc:jle:journl:v:2:y:2015:i:2:p:29-58
    DOI: 10.15637/jlecon.76
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