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The article provides a study on the technical efficiency of commercial banks using the operational environment analysis method DEA. The analysis was carried out during 2014-2020 for all commercial banks that operated in this period. The Malmquist Index was used to assess performance changes over time. The analysis was based on the models BCC and CCR, which are focused on inputs and results (effects). Assumptions about the model were used when selecting both results and inputs. The efficiency problematics are extremely complex. The DEA allows to test efficiency in a situation where we have one share more input data and one share more effect. The resulting efficiency curve of this population is created by its most efficient units. Objects are considered efficient when they lie on the efficiency curve, while technical inefficiency increases with more considerable distance from the curve. According to the simplest definition, efficiency is the ratio of effects to enclosed resources; it can also be defined as a measure of rationality of actions. Research based upon the data on all commercial banks that operated for the specified period showed a discrepancy between the minimum and maximum values of efficiency coefficients. The distribution of banks by the level of efficiency coefficient also indicates that the banking sector is very diverse. The performed study may be the basis for further, more detailed research in this direction.

Using the Methods of Analysis of the Operational Environment to Assess the Efficiency of Commercial Banks