Technical efficiency in the agricultural sector-evidence from a conditional quantile - Based approach

Sofia Kourtesi, Kristof De Witte, Apostolos Polymeros

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    The tightening farm budget constraints due to the reduction of the agricultural public financing and the negative gap between the agricultural input and output prices should force farms to work as efficient as possible. This paper applies a fully nonparametric approach to estimate potential efficiency gains in the agricultural sector while accounting for heterogeneity among farms. Using the 'conditional a-quantile robust partial frontier technique' we investigate the efficiency of agricultural enterprises specialized in cereals production. The data originate from the EU Farm Accounting Data Network. The results indicate a considerable variability in terms of technical efficiency among farms. We find evidence that the owned to total land, the family to total labor, the irrigation system, the region at which the farm is located and the year of observation have a statistically significant impact on productivity.
    Original languageEnglish
    Pages (from-to)100-123
    Number of pages24
    JournalAgricultural Economics Review
    Volume17
    Issue number2
    Publication statusPublished - 1 Jan 2016

    Keywords

    • Agriculture
    • Conditional a-quantile robust partial frontier
    • Efficiency

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