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Life Cycle Inventory Analysis for a Small-Scale Trawl Fishery in Sendai Bay, Japan

Author

Listed:
  • Kazuhito Watanabe

    (Fisheries Industry and Fishing Port Department, Miyagi Prefecture Kesennuma Regional Promotion Office, 47-6 Suginosawa Akaiwa, Kesennuma-city, Miyagi 988-0066, Japan
    These authors contributed equally to this work.)

  • Kiyotaka Tahara

    (Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa Tsukuba-city, Ibaraki 305-8569, Japan
    These authors contributed equally to this work.)

Abstract

A reduced environmental burden, while maintaining high quality and low cost, has become an important factor for achieving sustainability in the fisheries sector. The authors performed life cycle inventory (LCI) analysis targeting the fish production for a small-scale trawl fishery including small trawlers operating in Sendai Bay, Japan. The average annual cumulative CO 2 emissions for the small trawlers were 4.7 ton-CO 2 /ton-product and 8.3 ton-CO 2 /million Japanese yen (JPN). Total fuel consumption contributed to 97% of the global warming potential. The range of variation in the basic unit of CO 2 for each small trawler was also elucidated. Energy conservation through lower fuel consumption is shown to be an effective measure for reducing CO 2 in a small trawler fishery. Moreover, the authors examined the system boundary, the determination of the functional unit, and the allocation method of applying LCI analysis to fisheries. Finally, the economy and environment of small trawler fisheries are discussed as important factors for sustainable fisheries, and the life cycle approach is applied to a new fishery type in Japan.

Suggested Citation

  • Kazuhito Watanabe & Kiyotaka Tahara, 2016. "Life Cycle Inventory Analysis for a Small-Scale Trawl Fishery in Sendai Bay, Japan," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:4:p:399-:d:68736
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    References listed on IDEAS

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    1. Ellingsen, H. & Olaussen, J.O. & Utne, I.B., 2009. "Environmental analysis of the Norwegian fishery and aquaculture industry--A preliminary study focusing on farmed salmon," Marine Policy, Elsevier, vol. 33(3), pages 479-488, May.
    2. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, October.
    3. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, October.
    4. Mikkel Thrane, 2004. "Energy Consumption in the Danish Fishery: Identification of Key Factors," Journal of Industrial Ecology, Yale University, vol. 8(1‐2), pages 223-239, January.
    5. Driscoll, John & Tyedmers, Peter, 2010. "Fuel use and greenhouse gas emission implications of fisheries management: the case of the new england atlantic herring fishery," Marine Policy, Elsevier, vol. 34(3), pages 353-359, May.
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    Cited by:

    1. Angeles Cámara & Rosa Santero-Sánchez, 2019. "Economic, Social, and Environmental Impact of a Sustainable Fisheries Model in Spain," Sustainability, MDPI, vol. 11(22), pages 1-16, November.

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