The main objective of this study was to investigate whether the intraindustrial trade structure of the Turkish fisheries sector has been affected by global climate change. Therefore, the surface temperatures of the Black Sea, Marmara, Mediteranean and Aegean seas and the Grubel-Lloyd index values related to the sector for the period 1985-2017 were used as variables in the study. The Auto-Regressive Distributed Lag (ARDL) bounds test was used to determine the cointegration relationship between variables and to predict longterm coefficients. The Error Correction Model (ECM) method was used to determine the short-term coefficients. According to the results of the analyses: (i) There is a long-term relationship between the variables; (ii) Increases in the surface temperature of the Aegean, Mediterranean and Marmara seas have reduced intra-industrial trade in the long-term; (iii) The increase in the Black Sea surface temperature has increased intra-industry trade in the long-term; (iv) The increase in sea surface temperatures has shown a tendency to increase intraindustry trade from the southern seas towards the northern seas in Turkey. Consequently, global climate change can be considered as a change in intra-industry trade for both the country and the industry.
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