Branch banking network assessment using DEA: A benchmarking analysis—A note

This paper presents a benchmarking analysis of the branches and regional banks of a large French banking group. The analysis focuses on operational performance. Starting from an ‘individual’ diagnosis at branch level, a ‘network’ diagnosis is developed at regional bank level. The aim of the paper is to develop (i) operational performance indicators from the inefficiency score and (ii) a benchmarking procedure adapted to the network structure of the banking group under study. The banking group comprises 1611 branches that form 16 regional groups. The branches operate in six different business environments. A method is therefore required (a) to aggregate the inefficiency scores of individual branches to evaluate the regional groups and (b) to integrate the differences in environment into the evaluation procedure. Inefficiency scores are calculated using the data envelopment analysis (DEA) approach. This is based on the principle of comparison; once identified, the best practices are used to construct the efficiency frontier. Each entity is then positioned relative to that frontier. The model proposed in this paper determines one efficiency frontier for each type of environment. The results reveal that 30% of branches are efficient. Special emphasis is placed on quantifying productivity gains at regional bank level and on practicing intra- and inter-regional bank benchmarking.