Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture

O'Donnell, Christopher J. (2012) Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture. American Journal of Agricultural Economics, 94 4: 873-890. doi:10.1093/ajae/aas023


Author O'Donnell, Christopher J.
Title Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture
Journal name American Journal of Agricultural Economics   Check publisher's open access policy
ISSN 0002-9092
1467-8276
Publication date 2012-07
Sub-type Article (original research)
DOI 10.1093/ajae/aas023
Volume 94
Issue 4
Start page 873
End page 890
Total pages 18
Place of publication Cary, NC, United States
Publisher Oxford University Press
Collection year 2013
Language eng
Abstract Recent theoretical advances in total factor productivity (TFP) measurement mean that TFP indexes can now be exhaustively decomposed into unambiguous measures of technical change and efficiency change. To date, all applications of this new methodology have involved decomposing indexes that have poor theoretical properties. This article shows how the methodology can be used to decompose a new TFP index that satisfies all economically-relevant axioms from index theory. The application is to state-level data from 1960 to 2004. In most states, the main drivers of agricultural TFP change are found to have been technical change and scale and mix efficiency change.
Keyword Data envelopment analysis
Environmental change
Lowe index
Mix efficiency
Scale efficiency
Technical efficiency
Total factor productivity
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Economics Publications
 
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