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Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming

Fabio A. Madau & Madau, Fabio A.

Agricultural Economics Review2011https://doi.org/10.22004/ag.econ.178217article
ABDC C
Weight
0.31

What the paper says

Ray (1998) has proposed a model for estimating scale efficiency using a parametric approach. Following this methodology, a scale efficiency measure is obtained from the estimated parameters of the production frontier function and from the estimated scale elasticities. This study aims to estimate technical and scale efficiencies achieved by the Italian citrus fruit-growing farms. A stochastic frontier production model is considered in order to estimate technical and scale efficiencies. The analysis is expected to estimate the role of both technical and scale efficiencies in conditioning productivity. Particular attention is put on determining the inefficiency effects associated with a set of structural and environmental variables and on the relationship between technical and scale efficiency scores. Findings suggest that the greater portion of overall inefficiency in the sample might depend on producing below the production frontier than on operating under an inefficient scale. Indeed, room for improving technical efficiency is, on average, larger (29%) than the margin due to scale inefficiency (18%). Results also indicate a weak relationship between the two efficiency measures.

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https://doi.org/https://doi.org/10.22004/ag.econ.178217

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@article{fabio2011,
  title        = {{Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming}},
  author       = {Fabio A. Madau & Madau, Fabio A.},
  journal      = {Agricultural Economics Review},
  year         = {2011},
  doi          = {https://doi.org/https://doi.org/10.22004/ag.econ.178217},
}

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Evidence weight

0.31

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.56 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.