Recreational fishing in coastal areas plays an important role in the economic development of Turkey. In this study, non-market economic value of recreational fishing activities by using Contingent Valuation (31,500 Turkish Liras: TL) and Travel Cost (504,000 TL) Methodologies was calculated in Ordu Province. The factors affecting the respondent's Willingness-to-Pay via Tobit Regression Model and the factors affecting individual travel cost via Negative Binomial Model was assessed. Beside determining non-market benefits, socioeconomic, demographic and fishing dimensions of recreational fishermen were also queried to provide better understanding of recreational fishing profile. In conclusion, it was determined that recreational fishing in Ordu has economically big impact in the region.

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İzmir İç Körfez'deki rekreasyonel balıkçılığın özelliklerini ve ekonomik değerlemesini ele alan bu çalışma, karar vericilere balıkçılık yönetimi konusunda bilgi sağlamayı amaçlamaktadır. 2011 Ocak-Haziran döneminde kıyıdan avlanan 50 rekreasyonel balıkçı ile yapılan yüz yüze görüşmeler sonucu, rekreasyonel balıkçıların demografisi, balıkçılıkla ilgili harcamaları (balıkçılık ekipmanı, ulaşım, yem ve yiyecek ve içecek gibi özel masraflar), bu aktiviteden elde ettikleri pazar ve pazar dışı ekonomik değerleri ele alınmıştır. Ardından kim, ne zaman, nerede katılıyor ve ne kadar zaman harcıyor gibi sorularla balıkçılık aktivitesine katılım ile ilgili özelliklerinin irdelenmesi planlanmıştır. Pazar dışı faydaları hesaplamak için Negatif Binomial Regresyon Model'den yararlanılırken, seyahat maliyeti yöntemiyle de rekreasyonel balıkçılıktan kaynaklanan pazar dışı faydaların sunulması hedeflenmiştir. Her birey için hesaplanan 25 liralık tüketici rantı ve resmi verilere göre İzmir İli'nde 7.669 lisanslı rekreasyonel balıkçı varlığı, İzmir İç Körfez'deki rekreasyonel balıkçlığın büyük ekonomik değerini ortaya koymaktadır.

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Game theory has been an effective tool to generate solutions for decision making in fisheries involving multiple countries and fleets. Here, we use a coupled bio-economic model based on a Baltic Sea dynamic multispecies food web model called BALMAR and, we compare non-cooperative (NC) and cooperative game (grand coalition: GC) solutions. Applications of game theory based on a food web model under climate change have not been studied before and the present study aims to fill this gap in the literature. The study focuses on the effects of climate variability on the biological, harvest and economic output of the game models by examining two different climate scenarios, a first scenario characterized by low temperature and high salinity and a second scenario by high temperature and low salinity. Our results showed that in the first scenario sprat spawning stock biomass (SSB) and harvest dropped dramatically both in the NC and the GC cases whereas, herring and cod SSBs and harvests were higher compared to a base scenario (BS) keeping temperature and salinity at mean historical levels. In the second scenario, the sprat SSB and the harvest was higher for both GC and NC cases while the cod and the herring SSBs and harvests were lower. The total GC payoffs clearly outperformed the NC payoffs across all scenarios. Likewise, the first and second scenario GC payoffs for countries were higher except for Poland. The findings suggested the climate vulnerability of Baltic Sea multi-species fisheries and these results would support future decision-making processes of Baltic Sea fisheries.