Efficiency and Productivity: Malmquist and More

Färe, Rolf; Grosskopf, Shawna; Margaritis, Dimitris

doi:10.1093/acprof:oso/9780195183528.003.0005

Cited by 103 publications

(74 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For a discussion about the choice of a direction to approach the efficient frontier, see Färe et al (2008). The direction can be different for each unit (like in the radial cases) or it can be the same for all the units.…”

Section: Target Settingmentioning

confidence: 99%

See 1 more Smart Citation

Rankings and university performance: A conditional multidimensional approach

Daraio

Bonaccorsi

Simar

2015

European Journal of Operational Research

128

View full text Add to dashboard Cite

University rankings are the subject of a paradox: the more they are criticized by social scientists and experts on methodological grounds, the more they receive attention in policy making and the media. In this paper we attempt to give a contribution to the birth of a new generation of rankings, one that might improve on the current state of the art, by integrating new kind of information and using new ranking techniques. Our approach tries to overcome four main criticisms of university rankings, namely: monodimensionality; statistical robustness; dependence on university size and subject mix; lack of consideration of the input-output structure. We provide an illustration on European universities and conclude by pointing on the importance of investing in data integration and open data at European level both for research and for policy making. University rankings are the subject of a paradox: the more they are criticized by social scientists and experts on methodological grounds, the more they receive attention in policy making and the media. In this paper we attempt to give a contribution to the birth of a new generation of rankings, one that might improve on the current state of the art, by integrating new kind of information and using new ranking techniques. Our approach tries to overcome four main criticisms of university rankings, namely: monodimensionality; statistical robustness; dependence on university size and subject mix; lack of consideration of the input-output structure. We provide an illustration on European universities and conclude by pointing on the importance of investing in data integration and open data at European level both for research and for policy making. I N S T I T U T D E S T A T I S T I Q U E B I O S T A T I S T I Q U E E T S C I E N C E S A C T U A R I E L L E S ( I S B A )UNIVERSITÉ

show abstract

Section: Target Settingmentioning

confidence: 99%

“…The direction can be different for each unit (like in the radial cases) or it can be the same for all the units. Färe et al (2008) argue that a common direction would be a kind of egalitarian evaluation reflecting some social welfare function.…”

Section: Target Settingmentioning

confidence: 99%

Rankings and university performance: A conditional multidimensional approach

Daraio

Bonaccorsi

Simar

2015

European Journal of Operational Research

128

View full text Add to dashboard Cite

show abstract

“…While there are a number of commonly used directional vectors (see Färe et al (2008), p.553), the literature does not have a clear guideline or rule about choosing a directional vector. More importantly, the DDF inefficiency scores can vary with different directional vectors.…”

Section: Current Frontier Models For Undesirable Outputsmentioning

confidence: 99%

Measuring Eco-Inefficiency: A New Frontier Approach

Chen

Delmas

2012

Operations Research

148

View full text Add to dashboard Cite

Increasing social concerns over the environmental externalities associated with business activities are pushing firms to identify activities that create economic value with less environmental impact and to become more eco-efficient. Over the past two decades, researchers have increasingly used frontier efficiency models to evaluate productive efficiency in the presence of undesirable outputs, such as greenhouse gas emissions. In this paper, we identify critical flaws of existing frontier models and show that under these models eco-inefficient firms can be identified as eco-efficient. We develop a new ecoinefficiency frontier model that rectifies these problems. Our model allows us to calculate, for each firm, an eco-inefficiency score and improvements in outputs necessary to attain eco-efficiency. We demonstrate, through a Monte-Carlo experiment that our eco-inefficiency model provides a more reliable measurement of corporate eco-inefficiency than the existing frontier models. In the simulation experiment we develop a production function of multiple desirable and undesirable outputs that extends the classical Cob-Douglas function of a single output. The multi-output production function allows for greater flexibility in the simulation analysis of frontier models.

show abstract

“…It is also usual to take a geometric mean following the seminal papers of Färe et al (1992); (1994) on how to estimate the Malmquist productivity index. The reason given is that either the technologies from u or from v may be used as benchmark (Färe et al 2008).…”

Section: The Malmquist Productivity Indexmentioning

confidence: 99%

“…However, because we do not know these or do not have data to estimate them, the Malmquist index will be estimated using the nonparametric DEA models giving us the efficiency measures in the numerator and denominator in (14a) (Färe et al 2008).…”

mentioning

confidence: 99%

Productivity Interpretations of the Farrell Efficiency Measures and the Malmquist Index and Its Decomposition

Førsund

2016

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: The ratio definition of efficiency has the form of a productivity measure. But the weights are endogenous variables and they do not function as weights in a productivity index proper. It is shown that extended Farrell measures of efficiency can all be given an interpretation as productivity measures as observed productivity relative to productivity at the various projection points on the frontier. The Malmquist productivity index is the efficiency score for a unit in a period relative to the efficiency score in a previous period, thus based on a maximal common expansion factor for outputs or common contraction factor for inputs not involving any individual weighting of outputs or inputs, as is the case if a Törnqvist or ideal Fisher index is used. The multiplicative decomposition of the Malmquist productivity index into an efficiency part and a frontier shift part should not be taken to imply causality. Terms of use: Documents in

show abstract

Efficiency and Productivity: Malmquist and More

Cited by 103 publications

References 0 publications

Rankings and university performance: A conditional multidimensional approach

Rankings and university performance: A conditional multidimensional approach

Measuring Eco-Inefficiency: A New Frontier Approach

Productivity Interpretations of the Farrell Efficiency Measures and the Malmquist Index and Its Decomposition

Contact Info

Product

Resources

About