Product diversification, production systems, and economic performance in U.S. agricultural production

Paul, Catherine J. Morrison; Nehring, Richard F.

doi:10.1016/j.jeconom.2004.05.012

Cited by 133 publications

(105 citation statements)

References 18 publications

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“…The cross-effect coefficient of the two "goods" and the "bads" are non-significant, indicating that the link between "goods" and "bads" is noisy. Output mix, including the "bads" seems to be less fixed across farm types than the input composition as in Paul and Nehring (2005). 21 Generally, these results suggest that diversification at the farm level does not contribute significantly to overall economic performance.…”

Section: General Resultsmentioning

confidence: 89%

“…9 We follow Paul and Nehring (2005) with their external or shift factors. Fuentes, Grifell-Tatjé and Perelman (2001) introduce the time trend in the same way and interaction effects with the inputs.…”

Section: Empirical Specification and Estimationmentioning

confidence: 99%

“…11 These constraints can be imposed by normalizing the function by one of the outputs (Paul, Johnston and Frengley, 2000) or by one input (Paul and Nehring, 2005). As mentioned by Atkinson, Färe and Primont (2003), a direct estimation with linear homogeneity imposed via parametric restriction has the advantage of automatically generating the fitted distance function, and the partial derivatives of its log.…”

Section: Empirical Specification and Estimationmentioning

confidence: 99%

“…This measure, developed by Baumol, Panzar and Willig (1982) for a multiple-output cost model (Paul and Nehring, 2005), is similar to a cost function's elasticity of size which compares marginal and average costs to produce all outputs.…”

Section: Scale Economiesmentioning

confidence: 99%

“…The IDF can be interpreted as a multi-input output-requirement function that allows deviations from a frontier. 5 Distance function approaches allow for the computation of measures reflecting the output and input relationships indicative of performance (Paul and Nehring, 2005). As such, they are ideally suited to analyze efficiency at the watershed level.…”

Section: Introductionmentioning

confidence: 99%

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Technical and environmental efficiencies and best management practices in agriculture

2012

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An input distance function (IDF) is estimated to empirically evaluate and analyze the technical and environmental efficiencies of 210 farms located in the Chaudière watershed (Quebec), where water quality problems are particularly acute because of the production of undesirable outputs that are jointly produced with agricultural products. The true IDF is approximated by a flexible translog functional form estimated using a full information maximum likelihood method. Technical and environmental efficiencies are disaggregated across farms and account for spatial variations. Our results show that there is a significant correlation between technical and environmental efficiencies. The IDF is used to compute the cumulative Malmquist productivity index and the Fisher index. The two indices are used to measure changes in technology, profitability, efficiency, and productivity in response to the adoption of 2 selected best management practices (BMPs) whose objective is to reduce water pollution. We found significant differences across BMPs regarding the direction and the magnitude of their effect on profitability, efficiency and productivity.

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Section: General Resultsmentioning

confidence: 89%

Section: Empirical Specification and Estimationmentioning

confidence: 99%

Section: Empirical Specification and Estimationmentioning

confidence: 99%

Section: Scale Economiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Technical and environmental efficiencies and best management practices in agriculture

2012

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Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture

O’Donnell¹

2016

International Series in Operations Research &Amp; Management Science

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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.

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Applications of Production Economics in Education

Johnes

2021

Handbook of Production Economics

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Product diversification, production systems, and economic performance in U.S. agricultural production

Cited by 133 publications

References 18 publications

Technical and environmental efficiencies and best management practices in agriculture

Technical and environmental efficiencies and best management practices in agriculture

Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture

Applications of Production Economics in Education

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