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Clustering patterns of socially responsible banks

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  • Iustina BOITAN

    (Bucharest University of Economic Studies, Romania)

Abstract

Economic literature devoted to banking social responsibility outlines the twofold dimensions of this concept: an internal one, which exerts a direct impact on different stakeholders and local community, and an external one that provides an indirect impact of bank’s social behavior on its own financial operations, products and services. Although it is argued that the indirect impact has to be at the core of any sound social responsibility strategy, it is very difficult to be accurately assessed. Consequently, the paper aims at depicting whether there are similarities in terms of the economic and social indirect impact provided by the 28 socially responsible banks in EU countries, by relying on several proxy indicators. It will be employed a data mining exploratory approach, named Cluster Analysis, to reveal if there is a pattern of similitude or, on the contrary, high heterogeneity between different intrinsic financial characteristics of sustainable banks. The outcome of the analysis will consist in identifying and grouping in the same cluster the most resembling entities, at two different moments in time: 2008 year-end and 2013 year-end.

Suggested Citation

  • Iustina BOITAN, 2015. "Clustering patterns of socially responsible banks," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(Special(I), pages 374-380.
    • Handle: RePEc:agr:journl:v:xxii:y:2015:i:special(ii):p:374-380
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