A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency

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dc.creatorTonini, Axel
dc.creatorPede, Valerien
dc.date2011-10-28
dc.date2024-12-19T12:55:32Z
dc.date2024-12-19T12:55:32Z
dc.date.accessioned2026-06-27T04:15:21Z
dc.descriptionIn this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounted.
dc.identifierhttps://hdl.handle.net/10568/165849
dc.identifier.urihttp://hdl.handle.net/123456789/26734
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceTonini, A. and Pede, V. 2011. A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency. Entropy, Volume 13 no. 11 p. 1916-1927
dc.subjecteconomic growth
dc.subjecteurope
dc.subjectmodels
dc.subjectproductivity
dc.subjectspatial distribution
dc.subjecttechnological changes
dc.titleA generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)