2nd International Annual Meeting of Sosyoekonomi Society, Amsterdam, Hollanda, 28 - 29 Ekim 2016, ss.20
Developed countries to maintain their dominant position; to close the deficit of development between developing and least developed countries with developed countries, tend to ignore environmental risks and the health risks associated with it. Therefore, developed and developing countries are faced with the risk of rapid and unsustainable development such as intensive consumption, production, industrialization, the extensive use of the destruction of agricultural land and renewal energy sources. In this contex, the relationship between economic developments, CO2 emissions as an indicator of environmental pollution and health expenditure for the 1967-2015 period had analyzed using the Markov regime-switching model from the non-linear time series models. Although there are many non-linear time series models in the literature the most preferred model is Markov regime switching modeling method, which has also used in this study. Markov regime model is a non-linear model approach for changes that it is not known when they occured and it is used to predict the results in stochastic way. As a result, model findings have expected to contribute to energy and health policy been applied.