2009
DOI: 10.1016/j.seps.2008.12.001
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A directional slacks-based measure of technical inefficiency

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Cited by 696 publications
(333 citation statements)
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“…Oriented DEA ignores aspects of inputs or outputs and also leads to inaccurate results. To overcome these problems, Fare et al [29] and Fukuyama and Weber [30] developed the slacks-based measure directional distance function (SBMDDF) which is based on the SBM model dealing with the undesirable outputs of Tone [31].…”
Section: Comprehensive Measurements Of Fdi Externalities: Green Growtmentioning
confidence: 99%
See 1 more Smart Citation
“…Oriented DEA ignores aspects of inputs or outputs and also leads to inaccurate results. To overcome these problems, Fare et al [29] and Fukuyama and Weber [30] developed the slacks-based measure directional distance function (SBMDDF) which is based on the SBM model dealing with the undesirable outputs of Tone [31].…”
Section: Comprehensive Measurements Of Fdi Externalities: Green Growtmentioning
confidence: 99%
“…According to Fukuyama and Weber [30] and Tone et al [31], the SBMDDF under the consideration of energy and environment can be expressed as:…”
Section: Comprehensive Measurements Of Fdi Externalities: Green Growtmentioning
confidence: 99%
“…The basic DDF function generalizes radial measures of technical efficiency since it allows for radial expansion of outputs and contraction of inputs as well as a non-radial expansion of outputs and contraction of inputs [24]. It does not provide technical efficiency information for specific inputs or outputs as it adjusts all inputs and outputs by the same proportion to the efficient targets.…”
Section: Introductionmentioning
confidence: 99%
“…Built upon the basic DEA models of Charnes et al [27] and Banker et al [28], Tone [29] proposed the SBM to measure efficiency based on input excesses and output shortfalls. Being a non-radial approach, SBM overcomes the conventional radial DEA method's overestimating-limitation which is caused by neglecting slack variables [30]. Furthermore, SBM directly accounts for input and output slacks in efficiency measurements, with the advantage of capturing the whole aspect of inefficiency [24].…”
Section: Slacks-based Measure (Sbm) Modelmentioning
confidence: 99%