Abstract
Economic fish and aquaculture modelling is still at the beginning. The lack of a comprehensive and consistent data set for the production and trade of fish and other fishery products has restrained the modelling attempts so far. Here we show a methodology for filling the present data gaps and for overcoming existent inconsistencies to create a database that may support modelling of the fish sector, illustrated at the case of the fish module in the CAPRI model. We avoid double counting with respect to fishmeal and fish oil production and trade by disentangling the available data from key statistical sources relying on a minimization of normalized least squares. The presented data correction procedure and the resulting database may furthermore be of value for other models of global fish markets analyzing the importance of fishery and aquaculture products for global food security. The impact of the data correction procedure is demonstrated for the most relevant fish and fishery products producing and trading countries, comparing the resulting consolidated to the initial data.
Published Version
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