Analyzing the Interplay of Industrial Growth, Energy Use, and Employment in Turkiye: A Least Squares Approach

The aim of this study is to examine the relationship between the development of the industrial sector, employment rates and energy consumption in Turkiye. The annual data series between 2001-2020 is used in the research. According to the LCC regression results, the F test is significant and the significance coefficient R2 has a value of 0.3698. These two results show that the independent variables used in the model together are statistically significant in explaining the dependent variable, and the model explains about 36% of the increase and decrease in employment rates, which is the dependent variable. According to the results of the t-test, which shows whether the coefficients obtained for the independent variables are statistically significant, while the coefficients calculated for energy consumption are significant from the 95% confidence interval, the coefficient calculated for the industrial sector growth is meaningless.