IDEAS home Printed from https://ideas.repec.org/p/ags/aesc15/204239.html
   My bibliography  Save this paper

Food Preferences Segmentation Using An Aids/Mixture Approach

Author

Listed:
  • Arnoult, Matthieu H.
  • Kehlbacher, Ariane
  • Srinivasan, C.S.
  • McCloy, Rachel
  • Tiffin, Richard

Abstract

Excess weight is a problem affecting over half of the British population, with some categories being more at risk than others, in particular in lower socio-economic groups. In that respect, differentiated dietary behaviours are known to contribute to inequalities in health outcomes. Segmentation is increasingly employed as a means of better targeting policy interventions. While conventional segmentation methods divide the population according to their dietary choices or according to socio-demographic characteristics, a potential flaw in this approach is that people may choose to consume a bad diet for entirely different reasons, or that people from different socio-demographic groups may behave in a similar fashion. We use a novel alternative approach which seeks to segment according to peoples dietary preferences. The method estimates a finite mixture of AIDS. We identify segments which have a degree of homogeneity in their food purchases, while remaining heterogeneous in terms of their socio-demographics. The homogeneity of food purchases within components is less than within components identified using k-means clustering of food choices. We argue that this approach will lead to more effective targeted interventions because they would appeal to the reasons for bad dietary choices rather than the choices themselves.

Suggested Citation

  • Arnoult, Matthieu H. & Kehlbacher, Ariane & Srinivasan, C.S. & McCloy, Rachel & Tiffin, Richard, 2015. "Food Preferences Segmentation Using An Aids/Mixture Approach," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204239, Agricultural Economics Society.
  • Handle: RePEc:ags:aesc15:204239
    DOI: 10.22004/ag.econ.204239
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/204239/files/Matthieu_Arnoult_arnoult%20et%20al%20_2015_%20aes%20mixtures%20_1_.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.204239?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. Han, Tong & Wahl, Thomas I., 1998. "China'S Rural Household Demand For Fruit And Vegetables," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(1), pages 1-10, July.
    2. Patrice Bertail & France Caillavet, 2008. "Fruit and Vegetable Consumption Patterns: A Segmentation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 827-842.
    3. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    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. Kehlbacher, Ariane & Arnoult, Matthieu & Srinivasan, Chittur & McCloy, Rachel & Tiffin, Richard, 2015. "Food preference segmentation using an AIDS mixture: An application to the UK," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205461, Agricultural and Applied Economics Association.
    2. Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.
    3. Beibei Wu & Xudong Shang & Yongfu Chen, 2021. "Household dairy demand by income groups in an urban Chinese province: A multistage budgeting approach," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 629-649, July.
    4. Meng, Ting & Florkowski, Wojciech J. & Kolavalli, Shashidhara & Ibrahim, Mohammed, 2012. "Food Expenditures and Income in Rural Households in the Northern Region of Ghana," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124638, Agricultural and Applied Economics Association.
    5. Capacci, Sara & Mazzocchi, Mario, 2011. "Five-a-day, a price to pay: An evaluation of the UK program impact accounting for market forces," Journal of Health Economics, Elsevier, vol. 30(1), pages 87-98, January.
    6. Chouinard, Hayley H & Davis, David E. & LaFrance, Jeffrey T. & Perloff, Jeffrey M, 2005. "The Effects of a Fat Tax on Dairy Products," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt60t1f3tn, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Rulof Petrus Burger & Lodewicus Charl Coetzee & Carl Friedrich Kreuser & Neil Andrew Rankin, 2017. "Income and Price Elasticities of Demand in South Africa: An Application of the Linear Expenditure System," South African Journal of Economics, Economic Society of South Africa, vol. 85(4), pages 491-514, December.
    8. Hanson, Kenneth & Somwaru, Agapi, 2003. "Distributional Effects of U.S. Farm Commodity Programs: Accounting for Farm and Non-Farm Households," Conference papers 331120, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Boonsaeng, Tullaya & Carpio, Carlos E., 2017. "Budget Allocation Patterns of American Household across Income Level in the 21 Century," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258245, Agricultural and Applied Economics Association.
    10. Madan Mohan Dey & Yolanda T. Garcia & Kumar Praduman & Somying Piumsombun & Muhammad Sirajul Haque & Luping Li & Alias Radam & Athula Senaratne & Nguyen Tri Khiem & Sonny Koeshendrajana, 2008. "Demand for fish in Asia: a cross-country analysis ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 321-338, September.
    11. Dunn, Richard A. & Nayga, Rodolfo M., Jr. & Thomsen, Michael & Heather L. Rouse, 2014. "A Longitudinal Analysis of Fast-Food Exposure On Child Weight Outcomes: Identifying Causality Through School Transitions," Working Papers 34, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    12. Hayley H. Chouinard & David E. Davis & Jeffrey T. LaFrance & Jeffrey M. Perloff, 2010. "Milk Marketing Order Winners and Losers," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 59-76.
    13. Allais, Olivier & Bertail, Patrice & Nichele, Veronique, 2008. "The Effects of a "Fat Tax" on the Nutrient Intake of French Households," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43967, European Association of Agricultural Economists.
    14. Kwok, Yun-Kwong, 2004. "Global factor trade with differentiated factor prices and factor intensities," Conference papers 331173, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Ma, Hengyun & Huang, Jikun & Rozelle, Scott & Rae, Allan N., 2003. "Livestock Product Consumption Patterns In Urban And Rural China," China Agriculture Project Working Papers 23689, Massey University, Centre for Applied Economics and Policy Studies.
    16. Ma, Hengyun & Rae, Allan N. & Huang, Jikun & Rozelle, Scott, 2004. "Chinese animal product consumption in the 1990s," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(4), pages 1-22.
    17. Hongbo Liu & Kevin A. Parton & Zhang-Yue Zhou & Rod Cox, 2009. "At-home meat consumption in China: an empirical study ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 485-501, October.
    18. Steele, Marie & Weatherspoon, Dave, 2016. "Demand for Varied Fruit and Vegetable Colors," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235912, Agricultural and Applied Economics Association.
    19. Rahman, Kazi Tamim & Shanoyan, Aleksan & Hovhannisyan, Vardges, 2020. "Pre-Committed Demand for Food in Bangladesh: Implications for Agri-Food Industry Stakeholders," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304644, Agricultural and Applied Economics Association.
    20. Roosen, Jutta & Staudigel, Matthias & Rahbauer, Sebastian, 2022. "Demand elasticities for fresh meat and welfare effects of meat taxes in Germany," Food Policy, Elsevier, vol. 106(C).

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Health Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aesc15:204239. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesukea.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.