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The use of efficiency measures to compute welfare improving: an application for competition policy

Gustavo Ferro (Universidad del Centro de Estudios Macroeconomicos de Argentina, Buenos Aires, Argentina and Consejo Nacional de Investigaciones Cientificas y Tecnicas, Buenos Aires, Argentina)
Sonia León (Instituto de Economía, Universidad Argentina de la Empresa (UADE), Buenos Aires, Argentina)

Journal of Financial Regulation and Compliance

ISSN: 1358-1988

Article publication date: 14 May 2018

134

Abstract

Purpose

Merger approving focuses on both market power and welfare gains. In general, the approval process does not include a comparative efficiency analysis. This paper aims to introduce this dimension and show its potential.

Design/methodology/approach

Based on the analysis of past bank mergers, the authors examine expected and actual efficiency gains. This paper measures the potential (ex ante) and ex post efficiency gains of bank mergers by using data envelopment analysis (DEA).

Findings

The authors find some (approved) mergers were promised and yielded efficiency gains while others did not.

Research limitations/implications

DEA does not allow testing statistically the significance of the presumed relationship between variables.

Practical implications

The authors conclude that some mergers that took place would not have been approved had an efficiency analysis been made.

Social implications

Regulators and/or competition authorities could approve mergers which do not increase efficiency.

Originality/value

To date, efficiency frontier analysis has not been performed for merger approval. It implies that the regulator or competition authority could allow mergers with no clear social gains.

Keywords

Citation

Ferro, G. and León, S. (2018), "The use of efficiency measures to compute welfare improving: an application for competition policy", Journal of Financial Regulation and Compliance, Vol. 26 No. 2, pp. 227-245. https://doi.org/10.1108/JFRC-09-2016-0072

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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