IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0221147.html
   My bibliography  Save this article

More landings for higher profit? Inverse demand analysis of the bluefin tuna auction price in Japan and economic incentives in global bluefin tuna fisheries management

Author

Listed:
  • Chin-Hwa Sun
  • Fu-Sung Chiang
  • Dale Squires
  • Anthony Rogers
  • Man-Ser Jan

Abstract

This paper estimates the price changes in global bluefin tuna (BFT) markets in response to shifts in regional and global landings to evaluate the conservation and economic incentives from changes in the Total Allowable Catch (TAC) managed by all three Regional Fisheries Management Organizations. A fisherman’s income, and thus the financial incentive to accept management measures controlling catch levels, depends in part on how responsive price is to overall catch. Individual fisherman, with their own best interest in mind, used to wish to increase their individual landings and create an incentive to ask to increase the TAC for the industry, without realizing the possible revenue loss due to the resulting falling prices. To protect the value of all stakeholders’ property rights, a consensus to avoid abruptly raising the TAC, without first considering the potential loss due to market response, is needed. Alternatively, if revenue increases with lower TAC, a positive economic incentive for conservation is created if price increasing proportionately more than the lower supply, with harvest profits boosted by lower costs of production. To capture the complexity of substituting across various sources of supply and product form, a general synthetic inverse demand system is estimated to identify the impact of overall landings on BFT prices. This system estimates price flexibilities of both fresh and frozen longline-caught sashimi-grade tunas (Pacific, Atlantic and southern bluefins, and bigeye) at the Tokyo Center Market in Japan, including the Tsukiji Market, the world’s largest fish auction market that served as the single global price leader for BFT. The resulting estimation shows that own-quantity price flexibilities of every type of fresh and frozen BFTs are less than unity and inflexible in their own consumption. This creates poor individual producer incentives for fishermen to reduce wild or farmed BFT supply, as there is a chance to increase their own revenue, under the unlikely condition that the total supply is fixed. However, by observing the rapid increases in the TAC of Eastern Atlantic bluefin tuna (EABFT) in the coming years, suppliers may not be better off as price will drop proportionally faster and total revenue if the estimated scale flexibility is greater than one. Based on the estimated scale flexibility of frozen BFT, which is slightly less than unity, the frozen subsector of EABFT suppliers is the only winner under the supply increases. Suppliers of frozen BFT in other regions, fresh BFT (in the Atlantic and elsewhere), and southern BFT and bigeye tuna will all be harmed through lower revenue by the supply increases. Additionally, while total revenue might stay the same for frozen BFT suppliers, fishermen will potentially receive lower profits due to higher operating costs associated with increased landings when the supply of EABFT increases. Given the number of sectors that ultimately lose financially in the short term and given the ecological (and production) risks accompanying an abrupt increase in fishing pressure in the long term, the global economic losses resulting from an increase in the allowable catch of Atlantic bluefin tuna will outweigh any potential increases to revenue.

Suggested Citation

  • Chin-Hwa Sun & Fu-Sung Chiang & Dale Squires & Anthony Rogers & Man-Ser Jan, 2019. "More landings for higher profit? Inverse demand analysis of the bluefin tuna auction price in Japan and economic incentives in global bluefin tuna fisheries management," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-27, August.
  • Handle: RePEc:plo:pone00:0221147
    DOI: 10.1371/journal.pone.0221147
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221147
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0221147&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0221147?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Laitinen, Kenneth & Theil, Henri, 1979. "The Antonelli matrix and the reciprocal Slutsky matrix," Economics Letters, Elsevier, vol. 3(2), pages 153-157.
    2. Ramòn Jiménez-Toribio & Patrice Guillotreau & Rémi Mongruel, 2009. "Global integration of European tuna markets," Working Papers hal-00430014, HAL.
    3. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    4. Max Nielsen & Jos Smit & Jordi Guillen, 2009. "Market Integration of Fish in Europe," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 367-385, June.
    5. James P. Houck, 1965. "The Relationship of Direct Price Flexibilities to Direct Price Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 789-792.
    6. Kanae Tokunaga, 2018. "Estimating Elasticity of Demand for Pacific Bluefin Tuna in Tsukiji Fish Market," Marine Resource Economics, University of Chicago Press, vol. 33(1), pages 27-60.
    7. Kuo S. Huang, 1994. "A Further Look at Flexibilities and Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 313-317.
    8. Barten, Anton P, 1993. "Consumer Allocation Models: Choice of Functional Form," Empirical Economics, Springer, vol. 18(1), pages 129-158.
    9. Michael K. Wohlgenant, 1989. "Demand for Farm Output in a Complete System of Demand Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 241-252.
    10. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    11. Chiang, Fu-Sung & Lee, Jonq-Ying & Brown, Mark G., 2001. "The Impact Of Inventory On Tuna Price: An Application Of Scaling In The Rotterdam Inverse Demand System," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(3), pages 1-9, December.
    12. Anna M. Birkenbach & David J. Kaczan & Martin D. Smith, 2017. "Catch shares slow the race to fish," Nature, Nature, vol. 544(7649), pages 223-226, April.
    13. 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.
    14. Chiang, Fu-Sung & Lee, Jonq-Ying & Brown, Mark G., 2001. "The Impact of Inventory on Tuna Price: An Application of Scaling in the Rotterdam Inverse Demand System," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 403-411, December.
    15. Brown, Mark G & Lee, Jonq-Ying & Seale, James L, Jr, 1995. "A Family of Inverse Demand Systems and Choice of Functional Form," Empirical Economics, Springer, vol. 20(3), pages 519-530.
    16. Hoanjae Park & Walter N. Thurman, 1999. "On Interpreting Inverse Demand Systems: A Primal Comparison of Scale Flexibilities and Income Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 950-958.
    17. Chin-Hwa Jenny Sun & Fu-Sung Chiang & Patrice Guillotreau & Dale Squires, 2015. "Fewer Fish for Higher Profits? Price Response and Economic Incentives in Global Tuna Fisheries Management," Working Papers hal-01110771, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ariel Soto‐Caro & Feng Wu & Tian Xia & Zhengfei Guan, 2023. "Demand analysis with structural changes: Model and application to the US blueberry market," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1100-1116, October.
    2. Patrice Guillotreau & Frédéric Lantz & Lesya Nadzon & Jonathan Rault & Olivier Maury, 2023. "Price Transmission between Energy and Fish Markets: Are Oil Rates Good Predictors of Tuna Prices?," Marine Resource Economics, University of Chicago Press, vol. 38(1), pages 29-46.
    3. Guillotreau Patrice & Frédéric Lantz & Lesya Nadzon & Jonathan Rault & Olivier Maury, 2023. "Price Transmission between Energy and Fish Markets: Are Oil Rates Good Predictors of Tuna Prices? [Transmission des prix entre les marchés de l'énergie et du poisson : est-ce que les cours du pétro," Post-Print hal-03948692, HAL.

    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. Chin-Hwa Jenny Sun & Fu-Sung Chiang & Patrice Guillotreau & Dale Squires, 2015. "Fewer Fish for Higher Profits? Price Response and Economic Incentives in Global Tuna Fisheries Management," Working Papers hal-01110771, HAL.
    2. Eric Sjöberg, 2015. "Pricing on the Fish Market--Does Size Matter?," Marine Resource Economics, University of Chicago Press, vol. 30(3), pages 277-296.
    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. Crawford, Gregory S. & Deer, Lachlan & Smith, Jeremy & Sturgeon, Paul, 2017. "The Regulation of Public Service Broadcasters : Should there be more advertising on television?," Economic Research Papers 269092, University of Warwick - Department of Economics.
    5. Chris Moore & Charles Griffiths, 2018. "Welfare analysis in a two-stage inverse demand model: an application to harvest changes in the Chesapeake Bay," Empirical Economics, Springer, vol. 55(3), pages 1181-1206, November.
    6. Roheim, Cathy A. & Zhang, Dengjun, 2018. "Sustainability certification and product substitutability: Evidence from the seafood market," Food Policy, Elsevier, vol. 79(C), pages 92-100.
    7. Daniele Moro & Paolo Sckokai, 2002. "Functional separability within a quadratic inverse demand system," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 285-293.
    8. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    9. Lee, Young-Jae & Kennedy, P. Lynn & Hilbun, Brian M., 2008. "Determining the Impact of Crawfish Imports on U.S. Domestic Prices," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6344, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    11. Martin F. Quaas & Till Requate, 2013. "Sushi or Fish Fingers? Seafood Diversity, Collapsing Fish Stocks, and Multispecies Fishery Management," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(2), pages 381-422, April.
    12. repec:ags:aaea22:335749 is not listed on IDEAS
    13. Lancker, Kira & Bronmann, Julia, 2020. "Quantifying consumers’ love for marine biodiversity," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304214, Agricultural and Applied Economics Association.
    14. Luca Mulazzani & Rosa Manrique & Giovanna Trevisan & Giulio Malorgio, 2015. "Fish market integration and demand analysis: a Mediterranean case study," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 39-52, January.
    15. Fousekis, Panos & Revell, Brian J., 2002. "Primary Demand for Red Meats in the United Kingdom," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 63.
    16. Huang, Pei, 2014. "An Inverse Demand System for Blue Crab in the Chesapeake Bay: Endogeneity and Seasonality," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169827, Agricultural and Applied Economics Association.
    17. Keith R. McLaren & K. K. Gary Wong, 2009. "The Benefit Function Approach to Modeling Price-Dependent Demand Systems: An Application of Duality Theory," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1110-1123.
    18. Robert H. Beach & Matthew T. Holt, 2001. "Incorporating Quadratic Scale Curves in Inverse Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 230-245.
    19. Gary Wong & Qiao Yu, 2001. "Inverse Demand Systems for Composite Liquid Assets: Evidence from China," School of Economics and Finance Discussion Papers and Working Papers Series 097, School of Economics and Finance, Queensland University of Technology.
    20. Asche, Frank & Zhang, Dengjun, 2013. "Testing Structural Changes in the U.S. Whitefish Import Market: An Inverse Demand System Approach," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(3), pages 453-470, December.
    21. Suh, Dong Hee & Guan, Zhengfei & Khachatryan, Hayk, 2017. "The impact of Mexican competition on the U.S. strawberry industry," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(4), April.

    More about this item

    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:plo:pone00:0221147. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.