Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data

Kerstens, Kristiaan; Woestyne, Ignace Van de

doi:10.1016/j.ejor.2013.09.009

Cited by 75 publications

(30 citation statements)

References 54 publications

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“…This could help management team detect any possible shortcoming in the system and provide possible solution strategies. The results of this survey are consistent with other existing works in the literature (Aparicio et al, 2013;Ahn & Min, 2014;Gharneh et al, 2014;Kerstens & Van de Woestyne, 2014).…”

Section: Discussionsupporting

confidence: 81%

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Productivity measurement using DEA and Malmiquest index

Khosravi¹,

Najafi²,

Rafiei³

2015

10.5267/j.msl

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Performance measurement is one of the primary tasks in every organization and it helps organization setup appropriate targets for future. There are several ways to assess the performance of the organization, and data envelopment analysis (DEA) is one of the most important methods. DEA is an appropriate technique to measure the efficiency of decisionmaking units, but does not provide complete information about the unit's productivity. Malmquist productivity index is one of the methods for measuring productivity and the main advantage of this index is the possibility of the productivity changes over time. In this study, DEA is used to measure service performance and economic foundation so that the performance of four companies within a 3-month period were evaluated. In this work, the cost of the system and investment were used as inputs, revenue and profit were considered as the output and constant returns to scale (CCR) was used to analyze the system, which yields 0.9 for all units when all input/output data were considered in crisp form. The efficacy of different units using interval data also showed different productivity compared with the crisp model. The productivity measures of the companies in three-month period were studied using the Malmquist based productivity index and the results were analyzed.Growing Science Ltd. All rights reserved. 5

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Section: Discussionsupporting

confidence: 81%

“…There are several applications of Malmquist productivity index (Aparicio et al, 2013;Kerstens & Van de Woestyne, 2014). Woo et al (2015) investigated the environmental efficiency of renewable energy from the static as well as the dynamic perspective in 31 OECD countries to learn more about the effect of renewable energy across countries.…”

Section: Introductionmentioning

confidence: 99%

Productivity measurement using DEA and Malmiquest index

Khosravi¹,

Najafi²,

Rafiei³

2015

10.5267/j.msl

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“…In this context, our study contributes to the more recent literature that has explored the use of alternative specifications to the Malmquist index for the evaluation of productivity change (see, among others, Epure et al, 2011;Kerstens and Van de Woestyne, 2014). Our second innovative contribution relates the evaluation of changes in the meta-technology, where we estimate the Divisia index not only at the country level but also at the supra-country level.…”

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confidence: 91%

Integration, productivity and technological spillovers: Evidence for eurozone banking industries

Casu

Ferrari

Girardone

et al. 2016

European Journal of Operational Research

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link ABSTRACTIn the context of the current debate on increased integration of eurozone banking markets following the global financial and sovereign debt crises, this paper evaluates the impact of regulatory reform, starting from the inception of the Single Market in 1992, on bank productivity and assesses the cross-border benefits of integration in terms of technological spillovers. We utilise a parametric meta-frontier Divisia index to estimate productivity change and identify technological gaps. We then assess the extent to which productivity converges within and across banking industries as a result of technological spillovers. Our results suggest that productivity growth has occurred for eurozone countries, driven by technological progress, both at the country and the supra-country level, although the latter slows or in some cases reverses since the onset of the crisis. Technological spillovers do exist, and have led to progression toward the best technology. However, convergence is not complete and significant long run differences in productivity persist. Improvements in technology are increasingly concentrated in fewer banking industries.

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“…Where necessary, the input quantity vector x * must be obtained by (numerically) solving the system of equations that emerges from the first order conditions for cost minimization, 47 See also Kerstens and Van de Woestyne (2014) for an activity analysis based comparison of the geometric mean input orientated Malmquist productivity index (76), and the geometric mean…”

Section: Appendix B: Computational Aspectsmentioning

confidence: 99%

The Many Decompositions of Total Factor Productivity Change

Balk

Zofío

2018

SSRN Journal

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Total factor productivity change, here defined as output quantity change divided by input quantity change, is the combined result of (technical) efficiency change, technological change, a scale effect, and input and output mix effects. Sometimes allocative efficiency change is supposed to also play a role. Given a certain functional form for the productivity index, the problem is how to decompose such an index into factors corresponding to these five or six components. A basic insight offered in the present paper is that meaningful decompositions of productivity indices can only be obtained for indices which are transitive in the main variables. Using a unified approach, we obtain decompositions for Malmquist, Moorsteen-Bjurek, price-weighted, and share-weighted productivity indices. A unique feature of this paper is that all the decompositions are applied to the same dataset of a real-life panel of decision-making units so that the extent of the differences between the various decompositions can be judged.

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Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data

Cited by 75 publications

References 54 publications

Productivity measurement using DEA and Malmiquest index

Productivity measurement using DEA and Malmiquest index

Integration, productivity and technological spillovers: Evidence for eurozone banking industries

The Many Decompositions of Total Factor Productivity Change

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