The analysi̇s of arti̇fi̇ci̇al neural network wi̇thi̇n the framewaork STIRPAT model of renewable energy consumpti̇on and health i̇ndi̇cators i̇n Turkey

The most important condition to maintain the existence of a society is to have healthy individuals. Production power of healthy societies has continuosly been increasing. Societies are in need of a considerable amount of energy to continue and ensure this production. Nowadays, developed and devoloping countries are giving preference to renewable energy source in order to supply their energy needs. Therefore, the importance of the relationship between renewable energy and health are becoming increasingly clear. To balance and manage this relationship has a major importance for those countries. In this study, the relationship between Turkey's health indicator which are also used to measure development level and renewable energy consumption for 1995-2013 was examined using artificial neural network within the framework STIRPAT model. Also a prediction for the future of renewable energy consumption was presented. In conclusion, it was found that health indicators which are also used as development indicators, has an indirect effect on the renewable energy consumption. In this regard, it can be stated that the development plan in Turkey must be handled by improving and reforming health policies, in addition to increasing the renewable energy consumption with a more efficient use of its renewable energy potantial. Keywords: İnfant and child mortality, Life expectancy, Health expenditure, STIRPAT, Artificial neural network, Renewable energy.