Methodologies for Comparisons of Agricultural Output, Input, and Productivity: A Review and Synthesis
Susan Capalbo,
Michael Denny,
Anwarul Hoque and
C. Edward Overton
No 278532, Staff Reports from United States Department of Agriculture, Economic Research Service
Abstract:
The paper presents a review of the methodological state-of-the-art in interspatial and intertemporal productivity measurement. An overview of productivity and efficiency concepts precedes a technical discussion of the two approaches currently existing in evaluating bilateral and multilateral productivity. The accounting or nonparametric approach, which relies on index number methods, provides measures of relative efficiency based on prices and quantities of outputs and inputs. The selection of a particular index number formula for multilateral comparisons of productivity growth should satisfy a priori axioms. In contrast, if sufficient data are available, the parametric or statistical approach can be used to estimate the production technology and to obtain more diverse comparisons than those from accounting procedures. Both approaches depend on developing comparable data sets, while data requirements are dictated by the amount of disaggregation desired.
Keywords: Agricultural and Food Policy; Productivity Analysis (search for similar items in EconPapers)
Pages: 57
Date: 1991-04
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://ageconsearch.umn.edu/record/278532/files/ers-report-519.pdf (application/pdf)
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:ags:uerssr:278532
DOI: 10.22004/ag.econ.278532
Access Statistics for this paper
More papers in Staff Reports from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().