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A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps... This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli (1992). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Productivity Analysis Springer Journals

A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

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References (6)

Publisher
Springer Journals
Copyright
Copyright © 2004 by Kluwer Academic Publishers
Subject
Economics; Microeconomics; Econometrics; Operation Research/Decision Theory; Accounting/Auditing
ISSN
0895-562X
eISSN
1573-0441
DOI
10.1023/B:PROD.0000012454.06094.29
Publisher site
See Article on Publisher Site

Abstract

This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli (1992).

Journal

Journal of Productivity AnalysisSpringer Journals

Published: Oct 18, 2004

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