Often, economic contribution and competitiveness of an industry has been examined using measures such as exports and multipliers from a single-country input-output (IO) model. These measures will be inaccurate if production of goods traded among countries is highly fragmented across countries, and if the production requires a large share of intermediate inputs imported from abroad. To overcome the weakness of single-country input-output (IO) models, this study uses a multi-country input-output (MCIO) model when decomposing the global value added of fish production for ten selected countries generated along the global value chain (GVC), and developing measures of economic contribution and competitiveness of a country’s fishing industry. This study finds, among other things, that for some of the ten countries, the share of the global value added from fish production accounted for by foreign countries increases significantly over the 2000–2014 period, suggesting their growing dependence on foreign-sourced inputs. Overall, results indicate that countries exhibit a considerable heterogeneity in the direction and the magnitude of the change over the period in the MCIO-based multipliers and GVC income and employment.

通常，使用单一国家投入产出 (IO) 模型中的出口和乘数等指标来检验一个行业的经济贡献和竞争力。如果国家之间贸易的商品生产在各国之间高度分散，并且如果生产需要从国外进口大量中间投入，这些措施将是不准确的。为了克服单一国家投入产出 (IO) 模型的弱点，本研究在分解全球价值链上十个选定国家的鱼类生产的全球附加值时，使用了多国投入产出 (MCIO) 模型。 GVC)，并制定衡量一个国家渔业的经济贡献和竞争力的措施。除其他外，本研究发现，对于十个国家中的一些国家，在 2000-2014 年期间，外国在全球鱼类生产增加值中所占的份额显着增加，这表明它们越来越依赖外国来源的投入。总体而言，结果表明，各国在基于 MCIO 的乘数以及 GVC 收入和就业的变化方向和幅度上表现出相当大的异质性。