ON DIMENSION REDUCTIONS IN DATA ENVELOPMENT ANALYSIS WITH AN ILLUSTRATIVE APPLICATION TO TURKISH BANKING SECTOR PERFORMANCE

In this study we tested the Turkish Banking Sector Performance development and the usage of various methodologies. For this purpose we used several data envelopment analysis(DEA) performance measurement systematics from 2002.12 to 2017.06. Proposed DEA models include dimension reduction techniques. The first one is principal component analysis which is abbreviated as PCA and the second one is correlation based DEA model construction. We investigated performance change over time and found that banks in Turkish Banking Sector should take steps now for maintaining their improved performances. Policies implemented after the 2001 crisis had positive effects during the 2008 crisis period in the Turkish banking sector, but gains should be sustained. We also found that our main model which uses four input and four output factors yields similar results with the investigated dimension reduction technique approaches