IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/55667.html
   My bibliography  Save this paper

Do Radioactive Spills from the Fukushima Disaster Have any Influence on Seafood Market in Japan?

Author

Listed:
  • Wakamatsu, Hiroki
  • Miyata, Tsutomu

Abstract

We investigated whether the spill of radioactive materials from the Fukushima nuclear plant into the Pacific Ocean had a negative impact on demand for cod and pollock in wholesale markets in Japan. A structural break test detected several break points in the market, including the Fukushima disaster, and successfully eliminated the impact of the other disturbing shocks identified in our analysis. A system of demand equations model which has taken into account the structural breaks indicated that the radioactive spills had a significantly negative impact on demand for cod. Our results suggested that the amount of radiation detected in cod products negatively affected Japanese demand for cod and positively affected demand for pollock, while it did not affect its price. We also found that consumers’ current concerns about radioactive spills positively affect cod and pollock markets. We concluded that radioactive spills harm the markets, but the impact is almost negligible.

Suggested Citation

  • Wakamatsu, Hiroki & Miyata, Tsutomu, 2014. "Do Radioactive Spills from the Fukushima Disaster Have any Influence on Seafood Market in Japan?," MPRA Paper 55667, University Library of Munich, Germany, revised 18 Jun 2014.
    • Handle: RePEc:pra:mprapa:55667
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/55667/1/MPRA_paper_55667.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viscusi, W Kip, 1997. "Alarmist Decisions with Divergent Risk Information," Economic Journal, Royal Economic Society, vol. 107(445), pages 1657-1670, November.
    2. Mark Herrmann & Biing-Hwan Lin, 1988. "The Demand and Supply of Norwegian Atlantic Salmon in the United States and the European Community," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 36(3), pages 459-471, November.
    3. Fox, John A & Hayes, Dermot J & Shogren, Jason F, 2002. "Consumer Preferences for Food Irradiation: How Favorable and Unfavorable Descriptions Affect Preferences for Irradiated Pork in Experimental Auctions," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 75-95, January.
    4. Ana Norman-Lόpez & Sean Pascoe & Olivier Thébaud & Ingrid Putten & James Innes & Sarah Jennings & Alistair Hobday & Bridget Green & Eva Plaganyi, 2014. "Price integration in the Australian rock lobster industry: implications for management and climate change adaptation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), pages 43-59, January.
    5. Barten, A. P. & Bettendorf, L. J., 1989. "Price formation of fish : An application of an inverse demand system," European Economic Review, Elsevier, vol. 33(8), pages 1509-1525, October.
    6. Bjorndal, Trond & Salvanes, Kjell G & Gordon, Daniel V, 1994. "Elasticity Estimates of Farmed Salmon Demand in Spain and Italy," Empirical Economics, Springer, vol. 19(3), pages 419-428.
    7. David-Jan Jansen & Jakob de Haan & Jakob de Haan, 2003. "Statements of ECB Officials and their Effect on the Level and Volatility of the Euro-Dollar Exchange Rate," CESifo Working Paper Series 927, CESifo.
    8. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    9. Zeileis, Achim & Kleiber, Christian & Kramer, Walter & Hornik, Kurt, 2003. "Testing and dating of structural changes in practice," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 109-123, October.
    10. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    11. Hiroki Wakamatsu, 2014. "The Impact of MSC Certification on a Japanese Certified Fishery," Marine Resource Economics, University of Chicago Press, vol. 29(1), pages 55-67.
    12. Robert G. Chambers & Kenneth E. McConnell, 1983. "Decomposition and Additivity in Price-Dependent Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(3), pages 596-602.
    13. Hsiang-tai Cheng & Oral Capps, 1988. "Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 533-542.
    14. Don J. DeVoretz & Kjell G. Salvanes, 1993. "Market Structure for Farmed Salmon," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 227-233.
    15. Ben Sita, Bernard & Marrouch, Walid & Abosedra, Salah, 2012. "Short-run price and income elasticity of gasoline demand: Evidence from Lebanon," Energy Policy, Elsevier, vol. 46(C), pages 109-115.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hiroki Wakamatsu & Tsutomu Miyata, 2016. "Do Radioactive Spills from the Fukushima Disaster Have Any Influence on the Japanese Seafood Market?," Marine Resource Economics, University of Chicago Press, vol. 31(1), pages 27-45.
    2. Wakamatsu, Hiroki & Aruga, Kentaka, 2013. "The impact of the shale gas revolution on the U.S. and Japanese natural gas markets," Energy Policy, Elsevier, vol. 62(C), pages 1002-1009.
    3. Sean Pascoe & Peggy Schrobback & Eriko Hoshino & Robert Curtotti, 2023. "Impact of changes in imports and farmed salmon on wild-caught fish prices in Australia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 335-359.
    4. Chang, Bi-Juan & Hung, Mao-Wei, 2021. "Corporate debt and cash decisions: A nonlinear panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 15-37.
    5. Yonglin Shen & Xiuguo Liu, 2015. "Phenological Changes of Corn and Soybeans over U.S. by Bayesian Change-Point Model," Sustainability, MDPI, vol. 7(6), pages 1-23, May.
    6. Chavas, Jean-Paul, 2013. "On Demand Analysis and Dynamics: A Benefit Function Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149683, Agricultural and Applied Economics Association.
    7. Guo, Zhichao & Feng, Yuanhua & Tan, Xiangyong, 2011. "Short- and long-term impact of remarkable economic events on the growth causes of China–Germany trade in agri-food products," Economic Modelling, Elsevier, vol. 28(6), pages 2359-2368.
    8. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    9. Patrik Nosil & Zachariah Gompert & Daniel J. Funk, 2024. "Divergent dynamics of sexual and habitat isolation at the transition between stick insect populations and species," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    10. Matthew Rousu & Wallace E. Huffman & Jason F. Shogren & Abebayehu Tegene, 2007. "Effects And Value Of Verifiable Information In A Controversial Market: Evidence From Lab Auctions Of Genetically Modified Food," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 409-432, July.
    11. Casson, Catherine & Fry, J. M., 2011. "Revolutionary change and structural breaks: A time series analysis of wages and commodity prices in Britain 1264-1913," MPRA Paper 27866, University Library of Munich, Germany.
    12. James Nolan & Zoe Laulederkind, 2022. "Plane to See? Empirical Analysis of the 1999–2006 Air Cargo Cartel," Advances in Airline Economics, in: The International Air Cargo Industry, volume 9, pages 241-262, Emerald Group Publishing Limited.
    13. Steen, Frode & Salvanes, Kjell G., 1999. "Testing for market power using a dynamic oligopoly model," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 147-177, February.
    14. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    15. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2009. "How Stable Are Monetary Models of the Dollar-Euro Exchange Rate?: A Time-Varying Coefficient Approach," Discussion Papers of DIW Berlin 944, DIW Berlin, German Institute for Economic Research.
    16. Jose PINEDA & Rodolfo MÉNDEZ, 2009. "Fiscal Sustainability and Economic Growth in Bolivia," EcoMod2009 21500075, EcoMod.
    17. Addona Vittorio & Yates Philip A, 2010. "A Closer Look at the Relative Age Effect in the National Hockey League," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-19, October.
    18. Michael J. Weir & Thomas W. Sproul, 2019. "Identifying Drivers of Genetically Modified Seafood Demand: Evidence from a Choice Experiment," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    19. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    20. DIMA, Bogdan & DIMA, Ştefana Maria & IOAN, Roxana, 2021. "Remarks on the behaviour of financial market efficiency during the COVID-19 pandemic. The case of VIX," Finance Research Letters, Elsevier, vol. 43(C).

    More about this item

    Keywords

    Radioactive Spill; Structural Break Test; Japanese Seafood Market; Demand Analysis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:55667. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.