2020
DOI: 10.1177/0020294020923096
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Global malmquist index for measuring the economic productivity changes

Abstract: Data envelopment analysis is a nonparametric method for measuring of the performance of decision-making units—which do not need to have or compute a firm’s production function, which is often difficult to calculate. For any manager, the progress or setback of the thing they manage is important because it makes planning and adoption of future policies for the organization or decision-making unit more rational and scientific. Different methods have been used to calculate the improvements and regressions using Ma… Show more

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Cited by 3 publications
(2 citation statements)
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References 32 publications
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“…The Malmquist indices provide a more complete picture of the performance of the observed entities and show a trend of changes from period to period, while window analysis can increase the number of units observed and show a trend using panel data. Mombini et al. (2020, p. 6) emphasise that “calculating the Malmquist productivity index is a very useful and applicable system for determining the progress and regress of a system and helps managers in future decisions and policies of the system and leads to improved productivity”.…”
Section: Methodsmentioning
confidence: 99%
“…The Malmquist indices provide a more complete picture of the performance of the observed entities and show a trend of changes from period to period, while window analysis can increase the number of units observed and show a trend using panel data. Mombini et al. (2020, p. 6) emphasise that “calculating the Malmquist productivity index is a very useful and applicable system for determining the progress and regress of a system and helps managers in future decisions and policies of the system and leads to improved productivity”.…”
Section: Methodsmentioning
confidence: 99%
“…Consequently, as defined above, the matrix model of the Malmquist index for group comparison can be given as [7][8][9] A detailed recent development about DEA under Malmquist context can be found in [20]. Due to the nature of the data used in this study, this model is not intended to maximize outcomes, but rather to minimize it.…”
Section: Malmquist Indexmentioning
confidence: 99%