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dc.contributor.authorFuentes-Santos, I.es_ES
dc.contributor.authorCubillo, Alhambraes_ES
dc.contributor.authorLabarta, Uxíoes_ES
dc.identifier.citationReviews in Aquaculture 9(2): 125-140 (2017)es_ES
dc.description16 páginas, 5 figuras, 6 tablases_ES
dc.description.abstractThe fast rise of aquaculture practices during the last decades has increased the need of adopting culture strategies to optimize production and guarantee the sustainability of the sector. This study aimed to provide a management tool to help mussel farmers identify optimal culture strategies and use production inputs efficiently. For this purpose, we evaluated the productivity and efficiency of different stocking densities and culture durations by the joint application of parametric and nonparametric frontier analysis at the farm scale. The translog production function outperformed the Cobb–Douglas model currently applied in most farm-scale frontier analyses. This model estimates that the optimal culture density is ca. 700 ind m−1, given that at lower densities, efficiency decreases (under-usage of available space) and mussel quality did not improve, and at higher densities, mortality and dislodgements from the ropes led to economic losses. This work also showed that marginal analysis does not provide an accurate estimation of the economic efficiency when unitary costs and prices are not constant. According to the Malmquist indices, mussel farmers should shorten the culture period to improve their productivity. All these results support the joint use of parametric and nonparametric frontier analysis as management tool for optimizing input use and scheduling aquaculture productiones_ES
dc.description.sponsorshipThis study was supported by the contract-project PROINSA Mussel Farm, codes CSIC 20061089 and 0704101100001, a CSIC PIE 201030E071 project, and Xunta de Galicia PGIDIT09MMA038E. A.M. Cubillo was also funded by a Fundaci  on Juana de Vega postdoctoral fellowship during manuscript prepara- tion in the Institute of Marine Research (IMAR), Centre for Ecological Modelling, IMAR-DCEA, Faculty of Science and Technology, Portugales_ES
dc.subjectAquaculture managementes_ES
dc.subjectCulture strategieses_ES
dc.subjectMalmquist indexes_ES
dc.subjectMarginal analysises_ES
dc.subjectStochastic frontier functiones_ES
dc.titleA bioeconomic approach to optimize mussel culture productiones_ES
dc.description.peerreviewedPeer reviewedes_ES
oprm.item.hasRevisionno ko 0 false*
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