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The views of key stakeholders on an evolving food risk governance framework: Results from a Delphi study

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  • Wentholt, M.T.A.
  • Rowe, G.
  • König, A.
  • Marvin, H.J.P.
  • Frewer, L.J.

Abstract

Evidence of a decline in public trust associated with food risk governance over recent years has called into question the appropriateness of the current dominant risk analysis framework. Within the EU-funded SAFE FOODS project a novel risk analysis framework has been developed that attempts to address potential shortcomings by increasing stakeholder (including consumer) input, improving transparency, and formally incorporating benefit and non-health aspects into the analysis. To assess the viability of this novel framework, the views of food risk experts from the EU and beyond were sought using a distributed online questionnaire process called Delphi. In this paper the main results of this survey are described, revealing varying levels of support for the key innovations of the novel framework. Implications of our results for the new and old frameworks, for the future of risk analysis, and for the policy community more widely, are discussed.

Suggested Citation

  • Wentholt, M.T.A. & Rowe, G. & König, A. & Marvin, H.J.P. & Frewer, L.J., 2009. "The views of key stakeholders on an evolving food risk governance framework: Results from a Delphi study," Food Policy, Elsevier, vol. 34(6), pages 539-548, December.
  • Handle: RePEc:eee:jfpoli:v:34:y:2009:i:6:p:539-548
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    1. Houghton, J.R. & Rowe, G. & Frewer, L.J. & Van Kleef, E. & Chryssochoidis, G. & Kehagia, O. & Korzen-Bohr, S. & Lassen, J. & Pfenning, U. & Strada, A., 2008. "The quality of food risk management in Europe: Perspectives and priorities," Food Policy, Elsevier, vol. 33(1), pages 13-26, February.
    2. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    3. Rowe, Gene & Wright, George, 1996. "The impact of task characteristics on the performance of structured group forecasting techniques," International Journal of Forecasting, Elsevier, vol. 12(1), pages 73-89, March.
    4. S French & A J Maule & G Mythen, 2005. "Soft modelling in risk communication and management: examples in handling food risk," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 879-888, August.
    5. Arrow, Kenneth J. & Cropper, Maureen L. & Eads, George C. & Hahn, Robert W. & Lave, Lester B. & Noll, Roger G. & Portney, Paul R. & Russell, Milson & Schmalensee, Richard & Smith, V. Kerry & Stavins, , 1997. "Is there a role for benefit-cost analysis in environmental, health, and safety regulation?," Environment and Development Economics, Cambridge University Press, vol. 2(2), pages 195-221, May.
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    2. Horrillo, A. & Escribano, M. & Mesias, F.J. & Elghannam, A. & Gaspar, P., 2016. "Is there a future for organic production in high ecological value ecosystems?," Agricultural Systems, Elsevier, vol. 143(C), pages 114-125.
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    4. Devaney, Laura, 2016. "Good governance? Perceptions of accountability, transparency and effectiveness in Irish food risk governance," Food Policy, Elsevier, vol. 62(C), pages 1-10.
    5. Saggau, Volker, 2012. "Viele Köche Verderben Den Brei – Agentenbasierte Simulationen Zum Föderalismusdurcheinander Während Der Ehec-Krise," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 133052, German Association of Agricultural Economists (GEWISOLA).
    6. Thomas Allen & Paolo Prosperi & Bruce Cogill & Martine Padilla & Iuri Peri, 2019. "A Delphi Approach to Develop Sustainable Food System Metrics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1307-1339, February.
    7. Heleen van Dijk & Arnout R.H. Fischer & Lynn J. Frewer, 2011. "Consumer Responses to Integrated Risk‐Benefit Information Associated with the Consumption of Food," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 429-439, March.
    8. Cope, S. & Frewer, L.J. & Houghton, J. & Rowe, G. & Fischer, A.R.H. & de Jonge, J., 2010. "Consumer perceptions of best practice in food risk communication and management: Implications for risk analysis policy," Food Policy, Elsevier, vol. 35(4), pages 349-357, August.

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