A cost Malmquist productivity index

Maniadakis, N; Thanassoulis, Emmanuel

doi:10.1016/s0377-2217(03)00177-2

Cited by 121 publications

(83 citation statements)

References 11 publications

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“…Recently, the Cost Malmquist productivity Index (CM) approach has been evolved as a preferred approach to estimate productivity change [1] Maniadakis et al (2004). Before the work of Maniadakis et al (2004), the research of productivity namely used the traditional production-based Malmquist indexes which failed to capture one of the most important aspects of managements, the allocative efficiency.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Before the work of Maniadakis et al (2004), the research of productivity namely used the traditional production-based Malmquist indexes which failed to capture one of the most important aspects of managements, the allocative efficiency. Maniadakis et al (2004) [1] suggested that the impact of allocative efficiency change on productivity change should be accounted for in the model. Since then the CM has become a preferred approach in the estimation of productivity.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Departing from the work of Maniadakis et al (2004), Yang et al (2009) relief the assumption of CRS and proposed an alternative CM based on the VRS to estimate productivity change. Their empirical result further provide evidence to support that the CM approach outperform the traditional approach in the sense that the alternative approach convey inside cost information which carry important managerial implication.…”

Section: Review Of Literaturementioning

confidence: 99%

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Effect of Fintech on the Productivity in the Taiwan Banking Industry

Yang¹,

Hsueh²,

Huang³

et al. 2017

IJEEEE

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Abstract:The development of financial technology has fostered a wave revolutionary change in financial service industry worldwide. The objective of this study is to examine whether the adoption of Fintech contributes to the productivity growth of the Taiwan banking industry in 2015. To investigate such potential effect, the study use the preferred Cost Malmquist Index to estimate the 25 listed sample banks over the period from 2010 to 2015. The empirical result suggests the observed period 2014-2015, the ΔPTE, ΔAE, ΔPE, and ΔCSE are improving by 0.01%, 0.13%, 0.42%, and 0.10% respectively. Moreover, the degree of ΔT deterioration is much improved relative to the other observe periods without adoption of Fintech. It provides the positive evidence to support an adoption of Fintech contribute a potential growth of competiveness of the Taiwan banking industry.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

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Effect of Fintech on the Productivity in the Taiwan Banking Industry

Yang¹,

Hsueh²,

Huang³

et al. 2017

IJEEEE

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“…It is worth reflecting briefly on what these measures mean, as the revenue and allocative MPIs appear to have been overlooked apart from Maniadakis & Thanassoulis (2004) (who present the input-oriented form) and Zelenyuk (2006), but in some respects are superior to the primal MPI when price information is available because they take prices into account. The primal MPI measures the change in productivity from periods s to t, with the first fraction measuring the change w.r.t.. technology in period s and the second w.r.t.. technology in period t, without taking prices into account, which is useful when price information is unavailable.…”

Section: Change In Group Productivity Over Time Without Reallocationmentioning

confidence: 99%

Aggregation of Malmquist productivity indexes allowing for reallocation of resources

Mayer

Zelenyuk

2014

European Journal of Operational Research

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Please cite this article as: Mayer, A., Zelenyuk, V., Aggregation of Malmquist productivity indexes allowing for reallocation of resources, European Journal of Operational Research (2014), doi: http://dx.doi.org/10.1016/j.ejor. 2014.04.003This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Aggregation of Malmquist productivity indexes allowing for reallocation of resourcesAndreas Mayer 1 , Valentin Zelenyuk 2, * AbstractIn this paper we consider aggregate Malmquist productivity index measures which allow inputs to be reallocated within the group (when in output orientation). This merges the single period aggregation results allowing input reallocation of Nesterenko & Zelenyuk (2007) with the aggregate Malmquist productivity index results of Zelenyuk (2006) to determine aggregate Malmquist productivity indexes that are justified by economic theory, consistent with previous aggregation results, and which maintain analogous decompositions to the original measures. Such measures are of direct relevance to firms or countries who have merged (making input reallocation possible), allowing them to measure potential productivity gains and how these have been realised (or not) over time.

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“…Efficiency change measures ''catching-up'' to the isoquant while technological change measures shifts in the isoquant. For example,see Weber and Domazlicky (1999) ;Nemoto and Goto (2005); Yu (2007); (Maniadakis and Thanassoulis (2004) and Radam (2007). Several researchers used econometric approaches to estimate the level of TFP and growth rate of TFP in manufacturing.…”

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confidence: 99%

Total Factor Productivity in Food Industries of Iran

Afrooz¹

2011

IJEF

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Considering to Importance of Food Industries (Priority of the Non-oil Exports in Foreign Trade, respond to Nutrition of population and Prevention of Wastage) This paper examines the levels of labor, total productivity and technical changes in food industries and compare with total industries of Iran over the period of 1971-2006. The results show that labor productivity and total factor productivity in food industries were lower than the average total industries over the period. Also, the estimation of technical changes has shown that the measure of technical change in food industries was 0.09 percent while for total industries was 0.16 percent over the period.

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A cost Malmquist productivity index

Cited by 121 publications

References 11 publications

Effect of Fintech on the Productivity in the Taiwan Banking Industry

Effect of Fintech on the Productivity in the Taiwan Banking Industry

Aggregation of Malmquist productivity indexes allowing for reallocation of resources

Total Factor Productivity in Food Industries of Iran

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