Measuring bank performance with a dynamic network Luenberger indicator

DOI10.1007/s10479-015-1922-5zbMath1364.90138OpenAlexW561818101MaRDI QIDQ525818

Hirofumi Fukuyama, William L. Weber

Publication date: 5 May 2017

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-015-1922-5

zbMATH Keywords

data envelopment analysisundesirable outputscommercial (joint-stock) regional banksdynamic network model

Mathematics Subject Classification ID

Related Items (11)

Dynamic network data envelopment analysis based upon technology changes ⋮ Does ownership structure affect firm performance? Evidence of Indian bank efficiency before and after the Global Financial Crisis ⋮ The threshold effects of income diversification on bank stability: an efficiency perspective based on a dynamic network slacks-based measure model ⋮ Interest rate liberalization and bank efficiency: a DEA analysis of Chinese commercial banks ⋮ Decomposing banking performance into economic and credit risk efficiencies ⋮ Implementing strategic disposability for performance evaluation: innovation, stability, profitability and corporate social responsibility in Chinese banking ⋮ Nerlovian revenue inefficiency in a bank production context: evidence from Shinkin banks ⋮ Modelling a multi-period production process: evidence from the Japanese regional banks ⋮ Luenberger-type indicators based on the weighted additive distance function ⋮ Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union ⋮ Measuring Bank Performance: From Static Black Box to Dynamic Network Models

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