FN Archimer Export Format
PT J
TI Modelling the fishing costs of French commercial vessels in the Bay of Biscay
BT 
AF DAURES, Fabienne
   TRENKEL, Verena
   GUYADER, Olivier
AS 1:1;2:2;3:1;
FF 1:PDG-RBE-EM;2:PDG-RBE-EMH;3:PDG-RBE-EM;
C1 IFREMER, UMR AMURE, Unite EM, F-29280 Plouzane, France.
   IFREMER, F-44311 Nantes 3, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
SI BREST
   NANTES
SE PDG-RBE-EM
   PDG-RBE-EMH
IN WOS Ifremer jusqu'en 2018
IF 1.843
TC 20
UR https://archimer.ifremer.fr/doc/00149/26039/24410.pdf
LA English
DT Article
DE ;Socio-economic;Empirical cost model;Fisheries performance;Gear type;GAM;Ecosystem Approach to Fisheries
AB Ten years after the start of the European Data Collection Framework the availability of cost indicators for assessing the economic status of fisheries or bio-economic modelling is still deficient. Moreover, economic time series are difficult to maintain due to fishermen weariness and sample coverage is often insufficient. To overcome these problems, the paper builds predictive models per operational cost category (fuel, landing, other variable, fixed, salary and total) for the French Bay of Biscay fleet. The cost models had good fit and stressed the key role of gear and vessel size (length mostly) for explaining fishing costs. They suggested that only a small list of variables was needed to predict costs (days-at-sea, total revenue, vessel age, length and power, district and fishing zone). These variables are easy to obtain for all vessels. In addition, some fitted cost models (total, landing and fixed costs) could be applied to the neighbouring English Channel, which suggested similarities between their fishing cost structures. Finally, the comparison of design-based and model-based cost estimates for the Bay of Biscay French fleet confirmed that modelling fishing costs on the basis of a small set of explanatory variables is a good alternative to design-based estimates which generally require costly annual sampling programs.
PY 2013
PD SEP
SO Fisheries Research
SN 0165-7836
PU Elsevier Science Bv
VL 146
UT 000321031500008
BP 74
EP 85
DI 10.1016/j.fishres.2013.03.022
ID 26039
ER

EF