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Título : A bayesian estimation of the economic effects of the Common Fisheries Policy on the Galician fleet: A dynamic stochastic general equilibrium approach
Autor : Colla-De-Robertis, Esteban; Da-Rocha, Jose-Maria; Garcia-Cutrin, Javier; Gutierrez, Maria-Jose; Prellezo, Raul
Citación : OCEAN \& COASTAL MANAGEMENT, 2019, 167, 137-144
Resumen : What would have happened if a relatively looser fisheries policy had been implemented in the European Union (EU)? Using Bayesian methods a Dynamic Stochastic General Equilibrium (DSGE) model is estimated to assess the impact of the European Common Fisheries Policy (CFP) on the economic performance of a Galician (north-west of Spain) fleet highly dependant on the EU Atlantic southern stock of hake. Our counterfactual analysis shows that if a less effective CFP had been implemented during the period 1986-2012, fishing opportunities would have increased, leading to an increase in labour hours of 4.87\%. However, this increase in fishing activity would have worsened the profitability of the fleet, dropping wages and rental price of capital by 6.79\% and 0.88\%, respectively. Welfare would also be negatively affected since, in addition to the increase in hours worked, consumption would have reduced by 0.59\%.
Palabras clave : CFP; Bayesian estimation; DSGE; Spanish fleet; INDIVISIBLE LABOR; MANAGEMENT; STOCK; OPTIMIZATION; ALGORITHM; PREFERENCES; YIELD
Fecha de publicación : 2019
Editorial : ELSEVIER SCI LTD
Tipo de documento: Article
Idioma: 
DOI: 10.1016/j.ocecoaman.2018.10.013
URI : http://dspace.azti.es/handle/24689/1038
ISSN : 0964-5691
E-ISSN: 1873-524X
Patrocinador: European Commission (MINOUW) [634495]
Spanish Ministry of the Economy, Industry and Competitiveness (AEI/FEDER, UE) [ECO2016-78819-R]
Basque Government (Department of Economic Development and Infrastructures of the Basque Government)
Xunta de GaliciaXunta de Galicia [GRC 2015/014]
Xunta de Galicia (ECOBAS)Xunta de Galicia
Basque GovernmentBasque Government [MacLab IT-793-13]
Aparece en las tipos de publicación: Artículos científicos



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