IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v9y2006i1p41-56.html
   My bibliography  Save this article

Responding Public Demand for Assurance of Genetically Modified Crops: Case from Japan

Author

Listed:
  • Mariko Nishizawa
  • Ortwin Renn

Abstract

Genetically modified (GM) crops provide a classic example of risk characterised with uncertainty and ambiguity. This article analyses the risk management of GM crops in Japan as a case and investigates how the Japanese government has responded to the growing public demand for safety assurance of new agricultural and food varieties. It argues that, while the government realised the need to respond to public reluctance in consuming GM food by adopting more resilient and discursive management, it has faced a dilemma to incorporate the new type of approach into conventional risk assessment. This tension was reflected in the process and policy outputs of the consensus conference on GM crops, which was ambiguously placed in the risk management process. This article shows the dynamics of opting for policies to manage scientifically uncertain risks in particular socio-political and institutional contexts. Such understanding can suggest ways towards enhanced policy debates.

Suggested Citation

  • Mariko Nishizawa & Ortwin Renn, 2006. "Responding Public Demand for Assurance of Genetically Modified Crops: Case from Japan," Journal of Risk Research, Taylor & Francis Journals, vol. 9(1), pages 41-56, January.
    • Handle: RePEc:taf:jriskr:v:9:y:2006:i:1:p:41-56
    DOI: 10.1080/13669870500166815
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669870500166815
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13669870500166815?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Sirio Cividino & Gianluca Egidi & Ilaria Zambon & Andrea Colantoni, 2019. "Evaluating the Degree of Uncertainty of Research Activities in Industry 4.0," Future Internet, MDPI, vol. 11(9), pages 1-21, September.

    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:taf:jriskr:v:9:y:2006:i:1:p:41-56. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    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.