Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks
We propose new Fuzzy-DEA ?-level models to assess data uncertainty. Bootstrap truncated regressions are used to identify relevant variables on efficiency. Proposed models have been demonstrated using an application in Mozambican banks. Findings reveal that fuzziness is predominant over randomness in the results. Price of labor, price of capital, and market-share were found to be significant factors.
fuzzy-dea data envelopment analysis mozambique banking efficiency bootstrapped regression