Assessing productivity in the presence of negative data and undesirable outputs

Seng-Su Tsang, Yi-Fen Chen, Yung-Hsiang Lu and Ching-Ren Chiu

The Service Industries Journal, 2014, vol. 34, issue 2, 162-174

Abstract: Few studies address the presence of negative data and undesirable outputs in productivity assessment. This study proposes a range-adjusted measure model that uses a non-radial Malmquist productivity index to estimate dynamic productivity in the presence of negative data and undesirable outputs. Banking-industry data are used to demonstrate the proposed model. The results show that during the 2007-2009 global financial crises, bank productivity deteriorated, mainly because of technical changes, and smaller banks suffered smaller financial losses. Finally, a decision making matrix based on the analysis results is presented to show the implications of the proposed method.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:servic:v:34:y:2014:i:2:p:162-174

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DOI: 10.1080/02642069.2013.763932

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The Service Industries Journal is currently edited by Eileen Bridges, Professor Domingo Ribeiro, Ronald Goldsmith, Barry Howcroft and Youjae Yi

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