Analyzing Italian citrus sector by semi-nonparametric frontier efficiency models

Francesco Vidoli and Giancarlo Ferrara

Empirical Economics, 2015, vol. 49, issue 2, 658 pages

Abstract: In this paper, we carried out an empirical productive analysis on agricultural Italian farms. In this research area, we propose a new approach of stochastic frontier analysis adopting a generalized additive model framework also compared with Stochastic semi-Nonparametric Envelopment of Z variables Data. By using the Italian National Institute of Agricultural Economics micro-data, we were able to map out the overall level of efficiency thereby focusing also on the evaluation of the differences observed due to presence of contextual variables. We obtained overall measures for the citrus sector that suggests an evaluation framework that can uphold policies to encourage and support farms. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Stochastic frontier; Generalized additive model; StoNEZD; Agriculture; Efficiency; Sustainable value; Q12; C14; Q57 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s00181-014-0879-6

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