IDEAS home Printed from https://ideas.repec.org/p/ags/aesc12/134720.html
   My bibliography  Save this paper

The regional price of junk foods relative to healthy foods in the UK: indirect estimation of a time series, 1997-2009

Author

Listed:
  • Capacci, Sara
  • Mazzocchi, Mario
  • Shankar, Bhavani

Abstract

The paper aims at indirectly estimating a time series of food prices from household expenditure data, focusing on foods considered as ‘junk’ relative to healthy foods. The “big 6” among the HFSS (high in fats, sugar and salt) foods identified by the Food Standard Agency have been selected to compose a target ‘unhealthy’ basket, compared to a ‘healthy’ benchmark aggregate including fruit and vegetables. UK data from the National Food Surveys, the Household Expenditure Surveys and the Living Costs and Food Survey were harmonized and merged to compose a set of household level unit values from 1997 to 2009 for the healthy and unhealthy aggregates. Well-established techniques are then employed to estimate regional prices by disentangling the quality component from unit values. The analysis provides information on the geographical and time heterogeneity of estimated price of the unhealthy basket relative to fruit and vegetable prices.

Suggested Citation

  • Capacci, Sara & Mazzocchi, Mario & Shankar, Bhavani, 2012. "The regional price of junk foods relative to healthy foods in the UK: indirect estimation of a time series, 1997-2009," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134720, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc12:134720
    DOI: 10.22004/ag.econ.134720
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/134720/files/Sara_Capacci_Capacci%20Mazzocchi%20Shankar.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.134720?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. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    2. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    3. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    4. Mazzocchi, Mario & Traill, W. Bruce & Shogren, Jason F., 2009. "Fat Economics: Nutrition, Health, and Economic Policy," OUP Catalogue, Oxford University Press, number 9780199213863.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    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. Pieroni, L. & Salmasi, L., 2014. "Fast-food consumption and body weight. Evidence from the UK," Food Policy, Elsevier, vol. 46(C), pages 94-105.
    2. Alessia Cavaliere & Elena Claire Ricci & Matteo Solesin & Alessandro Banterle, 2014. "Can Health and Environmental Concerns Meet in Food Choices?," Sustainability, MDPI, vol. 6(12), pages 1-16, December.

    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. Xavier Irz, 2010. "Modeling physical quantities of food and nutrients consumed from aggregate data—with an application to Finland," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 293-304, May.
    2. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    3. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    4. 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.
    5. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2018. "Analysis of household food demand and its implications on food security in Kenya: an application of QUAIDS model," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273474, Agricultural Economics Society.
    6. Bonnet, Céline & Requillart, Vincent, 2010. "Is The Eu Sugar Policy Reform Likely To Increase Obesity?," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116414, European Association of Agricultural Economists.
    7. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    8. Agénor Lahatte, 2010. "Autocorrélation spatiale et modèle de demande traitant des valeurs unitaires," Économie et Prévision, Programme National Persée, vol. 193(2), pages 101-117.
    9. Julian M. Alston & Joanna P. MacEwan & Abigail M. Okrent, 2016. "Effects of U.S. Public Agricultural R&D on U.S. Obesity and its Social Costs," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 492-520.
    10. Alessia CAVALIERE & Elisa DE MARCHI & Alessandro BANTERLE, 2013. "Time preference and health: the problem of obesity," Departmental Working Papers 2013-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    11. Cash, Sean B. & Goddard, Ellen W., 2006. "New Directions in Consumer Behaviour Research," CAFRI: Current Agriculture, Food and Resource Issues, Canadian Agricultural Economics Society, issue 7, pages 1-10, August.
    12. Christophe Muller & Nouréini Sayouti, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty? Evidence from Niger," AMSE Working Papers 2102, Aix-Marseille School of Economics, France, revised Oct 2021.
    13. Porto, Guido G., 2015. "Estimating household responses to trade reforms: Net consumers and net producers in rural Mexico," International Economics, Elsevier, vol. 144(C), pages 116-142.
    14. Dogbe, W. & Gil, J.M., 2018. "Effects of a modified Danish fat tax on food consumption and nutrients intake in Spain," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277237, International Association of Agricultural Economists.
    15. Atuesta, Laura & Paredes, Araya, 2011. "A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data," MPRA Paper 30580, University Library of Munich, Germany.
    16. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    17. Tefera, Nigussie, 2012. "Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126698, International Association of Agricultural Economists.
    18. Ravallion, Martin & van de Walle, Dominique, 1989. "Cost of living differences between urban and rural areas in Indonesia," Policy Research Working Paper Series 341, The World Bank.
    19. Boizot-Szantai, Christine & Etile, Fabrice, 2005. "The Food Prices / Body Mass Index Relationship: Theory and Evidence from a Sample of French Adults," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24734, European Association of Agricultural Economists.
    20. Petr Janský, 2014. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 246-273, June.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety;

    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:aesc12:134720. 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.