Capacity utilization rate is one of the most important indicators of the efficiency of the manufacturing industry, and therefore\nof the return of the investments made. Estimation of these rates accurately renders it possible to make important economic\ndecisions such as taking sectorial investment decisions, defining the optimal distribution of sectorial credits, determining noncompetitive\nsectors, making development plans and developing unemployment policies. In this study, we estimated the capacity\nutilization rates of 21 sub-sectors of the Turkish manufacturing industry using support vector machines and compared the results\nwith the results obtained from the methods of artificial neural networks and vector auto-regression. This study is the first in the\nliterature in that it was carried out using this method.
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