Efficiency of Egyptian organic agriculture: A local maximum likelihood approach
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Author
Guesmi, Bouali
Serra, Teresa
Radwan, Amr
Gil, José María
Publication date
2017-09-20ISSN
0742-4477
Abstract
Productive efficiency analysis is a relevant tool that can be used to evaluate differences in the performance between conventional and organic farms. Such study is important for the assessment of the economic viability of these two agricultural systems. Although the existing research has widely used the stochastic frontier methodology and the data envelopment analysis nonparametric approach to assess farming performance, the use of the local maximum likelihood (LML) approach proposed by Kumbhakar et al. is scarce. This study represents the first analysis that compares the efficiency levels of organic and conventional farms in Egypt. To do so, we apply LML methods to cross‐sectional, farm‐level data collected from a sample of 60 Egyptian farms. Results suggest that performance of organic farmers is slightly better than performance of their conventional counterparts. Further, we find a positive relationship between technical efficiency and farm size. [EconLit citations: C14, Q12, D24].
Document Type
Article
Document version
Accepted version
Language
English
Subject (CDU)
33 - Economia
Pages
32
Publisher
Wiley
Is part of
Agribusiness
Citation
Guesmi, Bouali, Teresa Serra, Amr Radwan, and José María Gil. 2017. "Efficiency Of Egyptian Organic Agriculture: A Local Maximum Likelihood Approach". Agribusiness 34 (2): 441-455. Wiley. doi:10.1002/agr.21520.
Program
Economia Agroalimentària
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [2337]
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/