Summary

Bank efficiency and performance analysis examines how financial institutions utilise resources to generate outputs, minimise costs and manage risks. Central to this field are techniques that compare input–output combinations to identify optimal production frontiers and measure distance from these benchmarks. Studies assess cost efficiency, profit efficiency and total factor productivity, exploring how regulatory frameworks, market concentration, technological innovation and managerial practices influence operational outcomes. Analyses range from parametric approaches, which assume specific functional forms, to non-parametric approaches, which construct empirical efficiency frontiers without presupposed relationships. Research also considers environmental variables such as macroeconomic conditions, institutional quality and governance structures. Insights derived guide policymakers in designing regulatory capital requirements, inform bank managers seeking performance improvements and underpin credit allocation decisions that affect financial stability and economic growth.

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Research from all publishers

Recent systematic reviews have synthesised hundreds of studies on bank efficiency measurement, revealing that traditional frontier techniques remain dominant but calling for broader adoption of emerging methods such as machine-learning algorithms and dynamic frontier models. These reviews stress the need to refine input–output specifications, incorporate non-interest income and expenses, and integrate environmental and governance variables to enrich comparative analyses across conventional and Islamic banking sectors. Another line of enquiry has exploited a major cooperative bank reform to assess the impact of organisational structure on performance. Empirical evidence shows that shifting from a loosely coordinated network to an integrated governance model bolstered scale and scope economies, while also influencing pricing power metrics as measured by market power indices. This finding underscores the role of institutional design in shaping cost structures and competitive behaviour. Bibliometric mapping of the banking performance literature has charted thematic clusters centred on efficiency measurement, corporate governance effects and links to economic growth. This analysis highlights the rising prevalence of data envelopment analysis (DEA) and dynamic panel techniques, documents expanding regional coverage in empirical studies, and identifies future avenues where sustainability and digitalisation intersect with efficiency research.

Bank Efficiency and Performance Analysis publication trend

The graph below shows the total number of articles in bank efficiency and performance analysis across all publications each year (not limited to Nature Index journals).

Technical terms

Technical efficiency: The extent to which a bank minimises inputs for a given level of outputs or maximises outputs for a given set of inputs.

Data Envelopment Analysis (DEA): A non-parametric method that constructs an empirical production frontier to evaluate relative efficiency of decision-making units.

Stochastic Frontier Analysis (SFA): A parametric approach that estimates an efficiency frontier by separating random error from inefficiency effects in a specified production function.

Scale economies: Cost advantages realised when a bank expands its operational size, lowering average costs per unit of output.

Scope economies: Cost benefits achieved when a bank diversifies its product portfolio, reducing combined costs relative to separate production.

Lerner Index: A measure of market power defined as the margin between product price and marginal cost, relative to price.

References

  1. Technical efficiency in banks: a review of methods, recent innovations and future research agenda. Review of Managerial Science (2023).
  2. Network vs integrated organizational structure of cooperative banks: Evidence on the Italian reform. International Review of Financial Analysis (2023).
  3. Research evolution in banking performance: a bibliometric analysis. Future Business Journal (2021).

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