Measuring technical efficiency and productivity growth: a comparison of SFA and DEA on Norwegian grain production data

James Odeck

Applied Economics, 2007, vol. 39, issue 20, 2617-2630

Abstract: This article compares data envelopment analysis and stochastic frontier analysis to assess efficiency and productivity growth of Norwegian grain producers. Previous studies have dealt with either one of them and less of both. For the assessment of productivity growth or regress, Malmquist productivity indices are derived from both approaches. The data cover a 10-year period. We find consistency between the approaches to the extent that: (1) there are potentials for efficiency improvements, but the magnitudes depends on the model applied and by segmentation of the data set, (2) there has been a productivity improvement in the sector, on average in the interval 30-38% in the period studied and (3) technical change has had the greatest impact on productivity, indicating that producers have a tendency to catch-up with the front runners. In general, policy-makers are warned not to be indifferent with respect to the approach used for efficiency and productivity measurement as these may give different results.

Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840600722224 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:39:y:2007:i:20:p:2617-2630

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840600722224

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().