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Do Target Groups Appreciate Being Targeted? An Exploration of Healthy Eating Policy Acceptance

Author

Listed:
  • Jessica Aschemann-Witzel

    (Aarhus University)

  • Tino Bech-Larsen

    (Aarhus University)

  • Sara Capacci

    (University of Bologna)

Abstract

The impact of healthy eating policies falls behind policy maker’s expectations. Better targeting and stakeholder support should improve their effectiveness. The research aims to identify whether a target group (the group impacted by the policy measure) is characterised by higher acceptance levels or not. Acceptance among citizens from the target was compared to a matching non-target group, based on data from an online survey on citizens’ support of healthy eating policies conducted among 3003 adult respondents from five European countries (Belgium, Denmark, Italy, Poland, UK). The policies explored were bans of advertising to children or school vending machines, school meal regulations, education campaigns at schools and workplaces, menu nutrition information and food labelling, price subsidies for healthy food, and accessibility measures for the elderly. It was found that target groups showed more support than others for four policies: parents were more supportive of vending machine bans in schools and workers eating out at lunch of education campaigns at workplaces, food labelling was more supported by those considering nutrition content in food purchase, and price subsidies for healthy food more supported by respondents in financial difficulties. However, parents were less supportive of school education campaigns, and the pattern of support through the target group differed by country. It is concluded that members of the target group tend to, but are not per se especially supportive of healthy eating policy measures concerning themselves or their children, and there are great country differences. Acceptance of policies should be surveyed per target group and country in advance of implementation. In the case of lack in acceptance, further exploration of the barriers should be conducted so that the benefit of the policy can be more effectively communicated, assuming that this increases stakeholder cooperation and favourable peer influence.

Suggested Citation

  • Jessica Aschemann-Witzel & Tino Bech-Larsen & Sara Capacci, 2016. "Do Target Groups Appreciate Being Targeted? An Exploration of Healthy Eating Policy Acceptance," Journal of Consumer Policy, Springer, vol. 39(3), pages 285-306, September.
    • Handle: RePEc:kap:jcopol:v:39:y:2016:i:3:d:10.1007_s10603-016-9327-7
    DOI: 10.1007/s10603-016-9327-7
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    1. Gollust, S.E. & Niederdeppe, J. & Barry, C.L., 2013. "Framing the consequences of childhood obesity to increase public support for obesity prevention policy," American Journal of Public Health, American Public Health Association, vol. 103(11), pages 96-102.
    2. Aschemann-Witzel, Jessica & Perez-Cueto, Federico J.A. & Niedzwiedzka, Barbara & Verbeke, Wim & Bech-Larsen, Tino, 2012. "Transferability of private food marketing success factors to public food and health policy: An expert Delphi survey," Food Policy, Elsevier, vol. 37(6), pages 650-660.
    3. Cass R. Sunstein & Richard H. Thaler, 2003. "Libertarian paternalism is not an oxymoron," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 48(Jun).
    4. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    5. repec:adr:anecst:y:2006:i:83-84:p:10 is not listed on IDEAS
    6. Pettigrew, Simone & Pescud, Melanie & Donovan, Robert J., 2012. "Stakeholder perceptions of a comprehensive school food policy in Western Australia," Health Policy, Elsevier, vol. 108(1), pages 100-104.
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Richard H. Thaler & Cass R. Sunstein, 2023. "Libertarian paternalism," Chapters, in: Cass R. Sunstein & Lucia A. Reisch (ed.), Research Handbook on Nudges and Society, chapter 1, pages 10-16, Edward Elgar Publishing.
    9. Wolsink, Maarten, 2007. "Wind power implementation: The nature of public attitudes: Equity and fairness instead of 'backyard motives'," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1188-1207, August.
    10. Mazzocchi, Mario & Cagnone, Silvia & Bech-Larsen, Tino & Niedźwiedzka, Barbara & Saba, Anna & Shankar, Bhavani & Verbeke, Wim & Traill, W Bruce, 2015. "What is the public appetite for healthy eating policies? Evidence from a cross-European survey," Health Economics, Policy and Law, Cambridge University Press, vol. 10(3), pages 267-292, July.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Sanjay Basu & Hilary Seligman & Jay Bhattacharya, 2013. "Nutritional Policy Changes in the Supplemental Nutrition Assistance Program," Medical Decision Making, , vol. 33(7), pages 937-948, October.
    13. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    14. Anne Moller Dano, 2005. "Road injuries and long‐run effects on income and employment," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 955-970, September.
    15. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    16. Moore, Sue & Murphy, Simon & Tapper, Katy & Moore, Laurence, 2010. "From policy to plate: Barriers to implementing healthy eating policies in primary schools in Wales," Health Policy, Elsevier, vol. 94(3), pages 239-245, March.
    17. Andrew M. Jones & Xander Koolman & Eddy Van Doorslaer, 2006. "The impact of having supplementary private health insurance on the uses of specialists," Annals of Economics and Statistics, GENES, issue 83-84, pages 251-275.
    18. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    19. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
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    Cited by:

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    2. R. Defila & Antonietta Di Giulio, 2020. "The Concept of “Consumption Corridors” Meets Society: How an Idea for Fundamental Changes in Consumption is Received," Journal of Consumer Policy, Springer, vol. 43(2), pages 315-344, June.

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