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SETSCI - Volume 4 (6) (2019)
ISAS WINTER-2019 (ENS) - 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences, Samsun, Turkey, Nov 22, 2019

The Malmquist Production Index in determining and improving healthcare productivity in Turkey
Serpil Aydın1*
1Ondokuz Mayıs University, Samsun, Turkey
* Corresponding author: serpil.gumustekin@omu.edu.tr
Published Date: 2019-12-22   |   Page (s): 459-461   |    209     3
https://doi.org/10.36287/setsci.4.6.124

ABSTRACT It is a fact that countries with robust and inclusive health services have a longer life expectancy at birth. Health services aim to improve and maintain health. In order to achieve these objectives, an integrated combination of various activities in which the production of more than one type of output and the consumption of more than one type of resource is aimed is evaluated. In the study, to examine the efficiency of healthcare in Turkey between the years 2008-2018, which is a nonparametric Malmquist DEA method is used. We have used three output variables: life expectancy at birth, health adjusted life expectancy and infant mortality rate and three input variables: number of doctors, number of hospital beds and public health expenditures as percentage of GDP. Findings reveal that there are a number of both developed and developing cities on the efficiency frontier, while the great majority of the cities in the sample are inefficient.  
KEYWORDS Efficiency, DEA, Health, Malmquist, Productivity
REFERENCES [1] Tunca, Halil (2018), “Türkiye’de İllerin Sağlık Etkinliğinin Belirlenmesi: Bootstrap Veri Zarflama Analizi”, Rating Academy Yayınları, pp.239.
[2] Sulku, S. N. (2011). The health sector reforms and the efficiency of public hospitals in Turkey: provincial markets. The European Journal of Public Health, 22(5), 634-638.
[3] Bump, J. B., and Powers Sparkes, S. (2014). A political economy analysis of Turkey's Health Transformation Program.
[4] Aydın, A., Atila, Ü., and Aydın S. (2018). Use of ANN in Predicting Life Expectancy: The Case of Turkey. Artificial Intelligence Studies, 1(1), 1-7.
[5] Berk, E., & Çerçioğlu, H. (2019). Türkiye’deki Sağlık Hizmetleri Sektörünün Şehirlerin Panel Verilerine Dayalı Olarak Etkinlik ve Verimliliklerinin Ölçümü. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 34(2).
[6] Liu, Z. M., & Zhang, X. Z. (2012). The Dynamic Efficiency and Convergence of China Government Health Investment—Based on Modified Malmquist Index Method. Soft Science, 26, 50-56.
[7] Hadad, S., Hadad, Y., & Simon-Tuval, T. (2013). Determinants of healthcare system’s efficiency in OECD countries. The European journal of health economics, 14(2), 253-265.
[8] Gok, M. S., & Sezen, B. (2011). Analyzing the efficiencies of hospitals: An application of Data Envelopment Analysis. Journal of Global Strategic Management, 10(1), 137-146.
[9] Gök, M. Ş. (2013). Improving Service Quality In Turkish Healthcare System: The Role Of Medical Technology. International Review of Economics and Management, 1(2), 92-107.
[10] Kohl, S., Schoenfelder, J., Fügener, A., & Brunner, J. O. (2019). The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health care management science, 22(2), 245-286.
[11] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European journal of operational research, 2(6), 429-444.
[12] Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis.Management science, 30(9), 1078-1092.
[13] Malmquist S. Index numbers and indifference surfaces. Trabajos de Estadistica 1953;4:209–42.
[14] Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica: Journal of the Econometric Society, 1393-1414.
[15] Balıkçı, C. (2016). Türkiye’deki Havaalanlarının 2009–2014 Yılları Arasındaki Etkinliğinin Veri Zarflama Analizi Ve Malmquist Endeks Metoduyla İncelenmesi.


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