Measuring Productive Efficiency in Input-Output Models by Means of Data Envelopment Analysis
José Zofío and
Angel M. Prieto
International Review of Applied Economics, 2007, vol. 21, issue 4, 519-537
Abstract:
The goal of the present research is to evaluate productive efficiency in an input-output framework by means of data envelopment analysis (DEA). This mathematical programming technique allows researchers to assess potential efficiency improvements in the form of input requirements reduction. By constructing envelopment unitary isoquants corresponding to comparable sectors across different local, regional or national economies, e.g. agriculture and manufacturing, DEA identifies as productive benchmarks those economies that exhibit the lowest technical coefficients, i.e. lowest input amount to produce one unit of output. Once these reference frontiers have been defined, it is possible to assess what would be the potential efficiency improvements available to the inefficient economies if they were to produce according to the best practice technologies of their benchmark peers. From an equivalent perspective, these simulations identify the necessary changes that each productive sector needs to undertake in order to reach the efficiency levels of the most successful economies. Finally, within Leontief's analytical construction, these calculations allow us to assess what would have been the economy-wid,e benefits for the inefficient economies—in terms of intermediate consumption reductions and final demand increases—of producing with best practice technologies. The model is empirically illustrated using the input-output tables for a set of OECD countries.
Keywords: Productive efficiency; input-output tables; data envelopment analysis (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02692170701189219 (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:irapec:v:21:y:2007:i:4:p:519-537
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20
DOI: 10.1080/02692170701189219
Access Statistics for this article
International Review of Applied Economics is currently edited by Professor Malcolm Sawyer
More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().