Data Envelopment Analysis and Malmquist Productivity Index for Measuring Group Performance on Interval Data

Article Preview

Abstract:

This paper develops measures, based on the Malmquist productivity index, that enables the decision making units internal efficiencies from those associated with their group characteristics. It has been assumed that the levels of inputs and outputs are not known exactly. The analysis involves the construction of an index reflecting the relative performance of example, which can be decomposed into an index for the comparison of efficiency change index and an index for comparison of technological change index. We provide a computational method for extension the Malmquist index group A relation to group B interval data. The utilization of the proposed approach is demonstrated with an illustrative example.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

4528-4534

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Charnes. A, Cooper.W. W, Rhodes. E, Measuring the efficiency of decision making units, European Journal of operational research, 2(1978), 429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar

[2] Charnes. A, Cooper.W. W, Rhodes. E, Evaluating Program and manageral efficiency : an application of data envelopment analysis to program follow through. Manag Sci 27 (1981) 668-697.

DOI: 10.1287/mnsc.27.6.668

Google Scholar

[3] Camanho.A. S, Dyson.R. G, Data envelopment analysis and Malmquist indices for measuring group performance, J prod Anual (2006) 35-49.

DOI: 10.1007/s11123-006-0004-8

Google Scholar

[4] Caves. DW, Christensen. LR, Diewert. WE, The economic theory of index numbers and the measurement 0f input, output, and productivity. Economica (1982) 50(6): 668-697.

DOI: 10.2307/1913388

Google Scholar

[5] Fare. R, Grosskopf. S, Estimation of returns to scale using data envelopment analysis: A comment, Eur. J. Oper. Res. 79 (1994) 379–382.

DOI: 10.1016/0377-2217(94)90366-2

Google Scholar

[6] Fritch. R, Annual survey of general economic theory: The problem index numbers. Economica (1936) 4: 1-38.

Google Scholar

[7] Jahanshaloo.G. R, Hossienzadeh lotfi. F, Moradi. M, Sensitivity and Stability analysis in DEA with interval data, Applied Math and Compu (2003). 17.

Google Scholar