Reportgreen2003

Dealing with Undesirable Outputs in DEA: A Slacks-based Measure (SBM) Approach

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Efficiency Analysis Using DEA Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

In this paper, we propose a new non-parametric DEA scheme for measuring efficiency in the presence of undesirable outputs, based on a slack-based measure(SBM) developed in Tone (2001). We further extend our scheme to cope with non-separable desirable and undesirable outputs. Then we compare our approach with some other methods proposed for this purpose thus far.

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2021Does internet development improve green total factor energy efficiency? Evidence from China 2019Can low-carbon city construction facilitate green growth? Evidence from China's pilot low-carbon city initiative 2021Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China 2012Environmental efficiency evaluation based on data envelopment analysis: A review 2013Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs 2021Measuring green total factor productivity of China's agricultural sector: A three-stage SBM-DEA model with non-point source pollution and CO2 emissions 2019Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered 2009DEA models with undesirable inputs and outputs

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