Özet:

It is an undeniable fact that in today's absolute competition environment where there is unprivileged access to information, the population and accordingly the needs are increasing rapidly and scarce resources are decreasing day by day. Health institutions, especially in low-income countries, need to use their existing resources in the most effective way in order to maintain their existence, keep up with the developing market conditions and provide a quality service. In this direction, the aim of this study is to determine how effective and efficient the per capita income, health expenditure per capita, the number of doctors, nurses and midwives are on infant mortality indicators, by using the data envelopment analysis method of countries in the low income group, taking into account the World Bank income classification. In the study, CCR and BCC input-oriented models were used to determine the effectiveness of basic health indicators in reducing infant mortality, which is one of the important health indicators of countries. According to the World Bank income classification, 20 countries from 28 countries belonging to the low-income group, whose data can be fully accessed, were included in the analysis. R Studio package programs were used for the analysis of the research data. As a result of the research, when the total efficiencies of the countries are examined according to the CCR model, it has been determined that 6 countries are effective and 7 countries are effective when the technical efficiency of the countries is examined according to the BCC model. In addition, when the scale efficiency of the countries is examined, it is seen that 11 countries have increasing, 3 countries decreasing and 6 countries have constant returns to scale.

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