A Disaggregated Perspective on Post-War Productivity Growth in U.S. Agriculture: Isn’t That Spatial?

Acquaye, Albert K. A.; Alston, Julian M.; Pardey, Philip G.

doi:10.1007/978-1-4615-0851-9_3

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…In agriculture, these are often the prices that the farmers in the region are paid for their products. As noted by Acquaye et al (2002), such prices may be policy-distorted and the whole aggregation approach is "somewhat questionable, but standard". An alternative is to use the market prices where available.…”

Section: Removal Of Outliers and Clusteringmentioning

confidence: 99%

Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Atıcı

Podinovski

2015

Omega

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Citation: ATICI, K.B. and PODINOVSKI, V.V., 2015. Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: an application to agriculture. Omega, 54, Additional Information:• This paper was accepted for publication in the journal AbstractIn this paper we consider the use of data envelopment analysis (DEA) for the assessment of efficiency of units whose output profiles exhibit specialisation. An example of this is found in agriculture where a large number of different crops may be produced in a particular region, but only a few farms actually produce each particular crop. Because of the large number of outputs, the use of conventional DEA models in such applications results in a poor efficiency discrimination. We overcome this problem by specifying production trade-offs between different outputs, relying on the methodology of Podinovski (2004). The main idea of our approach is to relate various outputs to the production of the main output. We illustrate this methodology by an application of DEA involving agricultural farms in different regions ofTurkey. An integral part of this application is the elicitation of expert judgements in order to formulate the required production trade-offs. Their use in DEA models results in a significant improvement of the efficiency discrimination. The proposed methodology should also be of interest to other applications of DEA where units may exhibit specialization, such as applications involving hospitals or bank branches.

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Section: Removal Of Outliers and Clusteringmentioning

confidence: 99%

Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Atıcı

Podinovski

2015

Omega

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“…Index number problems can account for some errors in the measurement of productivity growth attributable to research, and aggregate productivity measures can be statistically sensitive to aggregation procedures (e.g. Acquaye et al, 2000).…”

Section: 1 Productivity Measurementmentioning

confidence: 99%

“…Clearly, the appropriate adjustments of the dependent variable can be different, depending upon the explanatory variables other than public R&D that are to be included in the model to account for the effects of input and output quality, and so on. Pardey (1996, 2001) and Acquaye et al (2000), among others, have shown that correcting for changes in input quality can have major implications for understanding changes in input use and productivity in US agriculture. Making adjustments for input quality change is likely to lead to a lower estimated rate of return to public-sector R&D and a better appreciation of the different roles played by private-and public-sector R&D (in agriculture and elsewhere), and education.…”

Section: 1 Productivity Measurementmentioning

confidence: 99%

Attribution and other problems in assessing the returns to agricultural R&D

Alston¹

2001

Agricultural Economics

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Innovation and Productivity Growth: T.W. Schultz Lecture

Jorgenson¹

2011

American J Agri Economics

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“The puzzle confronting economists has been that the rate of growth of output that was being observed has been much larger than the rate of increase in the principal resources that were being measured. It is now clear that this puzzle is of our own making because we have been using measures of capital and labor which had been refined and narrowed in ways that excluded many of the improvements that have been made in the quality of these resources.” Theodore W. Schultz (1962).

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A Disaggregated Perspective on Post-War Productivity Growth in U.S. Agriculture: Isn’t That Spatial?

Cited by 5 publications

References 13 publications

Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Attribution and other problems in assessing the returns to agricultural R&D

Innovation and Productivity Growth: T.W. Schultz Lecture

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