Multi-directional productivity change: MEA-Malmquist

Research output: Contribution to journalJournal articlepeer-review

Standard

Multi-directional productivity change : MEA-Malmquist. / Asmild, Mette; Balezentis, Tomas; Hougaard, Jens Leth.

In: Journal of Productivity Analysis, Vol. 46, No. 2, 2016, p. 109–119.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Asmild, M, Balezentis, T & Hougaard, JL 2016, 'Multi-directional productivity change: MEA-Malmquist', Journal of Productivity Analysis, vol. 46, no. 2, pp. 109–119. https://doi.org/10.1007/s11123-016-0486-y

APA

Asmild, M., Balezentis, T., & Hougaard, J. L. (2016). Multi-directional productivity change: MEA-Malmquist. Journal of Productivity Analysis, 46(2), 109–119. https://doi.org/10.1007/s11123-016-0486-y

Vancouver

Asmild M, Balezentis T, Hougaard JL. Multi-directional productivity change: MEA-Malmquist. Journal of Productivity Analysis. 2016;46(2):109–119. https://doi.org/10.1007/s11123-016-0486-y

Author

Asmild, Mette ; Balezentis, Tomas ; Hougaard, Jens Leth. / Multi-directional productivity change : MEA-Malmquist. In: Journal of Productivity Analysis. 2016 ; Vol. 46, No. 2. pp. 109–119.

Bibtex

@article{c245aa9e2c9144339168e5a411e566b6,
title = "Multi-directional productivity change: MEA-Malmquist",
abstract = "In this paper we introduce an extension of the Malmquist total factor productivity index, which utilizes the Multi-directional Efficiency Analysis approach. This enables variable-specific analysis of productivity change as well as its components (efficiency change and technical change). The new approach is illustrated and compared to the conventional Data Envelopment Analysis Malmquist approach by considering a empirical data set on Lithuanian family farms. The results highlight that important differences in variable-specific performance of the farms can be hidden when using the conventional (radial) Data Envelopment Analysis-based Malmquist index.",
author = "Mette Asmild and Tomas Balezentis and Hougaard, {Jens Leth}",
year = "2016",
doi = "10.1007/s11123-016-0486-y",
language = "English",
volume = "46",
pages = "109–119",
journal = "Journal of Productivity Analysis",
issn = "0895-562X",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Multi-directional productivity change

T2 - MEA-Malmquist

AU - Asmild, Mette

AU - Balezentis, Tomas

AU - Hougaard, Jens Leth

PY - 2016

Y1 - 2016

N2 - In this paper we introduce an extension of the Malmquist total factor productivity index, which utilizes the Multi-directional Efficiency Analysis approach. This enables variable-specific analysis of productivity change as well as its components (efficiency change and technical change). The new approach is illustrated and compared to the conventional Data Envelopment Analysis Malmquist approach by considering a empirical data set on Lithuanian family farms. The results highlight that important differences in variable-specific performance of the farms can be hidden when using the conventional (radial) Data Envelopment Analysis-based Malmquist index.

AB - In this paper we introduce an extension of the Malmquist total factor productivity index, which utilizes the Multi-directional Efficiency Analysis approach. This enables variable-specific analysis of productivity change as well as its components (efficiency change and technical change). The new approach is illustrated and compared to the conventional Data Envelopment Analysis Malmquist approach by considering a empirical data set on Lithuanian family farms. The results highlight that important differences in variable-specific performance of the farms can be hidden when using the conventional (radial) Data Envelopment Analysis-based Malmquist index.

U2 - 10.1007/s11123-016-0486-y

DO - 10.1007/s11123-016-0486-y

M3 - Journal article

VL - 46

SP - 109

EP - 119

JO - Journal of Productivity Analysis

JF - Journal of Productivity Analysis

SN - 0895-562X

IS - 2

ER -

ID: 168563952