Madau, Fabio A. (2010): Parametric Estimation Of Technical And Scale Efficiencies In Italian Citrus Farming.
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Abstract
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 (technical and scale) inefficiency effects associated with a set of structural and environmental variables that should affect efficiency and on the relationship between technical and scale efficiency scores. Empirical 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 (18.2%). Results also indicate a weak relationship between the two efficiency measures.
Item Type: | MPRA Paper |
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Original Title: | Parametric Estimation Of Technical And Scale Efficiencies In Italian Citrus Farming |
Language: | English |
Keywords: | Technical efficiency Scale efficiency Stochastic Frontier Analysis Citrus farming Italy |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets |
Item ID: | 26818 |
Depositing User: | Fabio A. Madau |
Date Deposited: | 18 Nov 2010 10:19 |
Last Modified: | 26 Sep 2019 13:12 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/26818 |