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Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis


  • Drescher, Larissa S.
  • Goddard, Ellen W.


Poverty and inequality studies frequently use the quantile regression approach to provide results on the impact of determinants at different points of the distribution of a dependent variable. To innovate diversity research this paper uses quantile regressions to identify determinants at different points of the food diversity distribution. Regional and household level differences in demand for food diversity are analysed based on a pooled sample of Canadian data of the Family Food Expenditure Surveys of Statistics Canada. Simple OLS regressions show that the determinants of Canadian diversity demand are similar to those of other developed countries. However, with quantile regressions significantly different effects of independent variables on diversity across quantiles are observed. In most cases, low diversified households, especially those in the lower 10% quantile of the distribution, are much more affected by key determinants such as household size, (real) income and age than higher-diversified households. Results further reveal that the demand for food diversity is not stable over time but is lower in 1996 and 2001 than in 1984. The diversity decline over time is higher for households in the middle quantiles compared to the moderate decline for households located at the ends of the diversity distribution. In Armuts- und Ungleichheitsstudien sind Quantil-Regressionen eine häufig angewandte Methode um den Einfluss von Determinanten an verschiedenen Punkten der Verteilung einer abhängigen Variablen zu identifizieren. Um die bestehende Lebensmittelvielfaltsliteratur zu erweitern, werden in diesem Beitrag Quantil-Regressionen dafür genutzt, Nachfragedeterminanten an verschiedenen Stellen der Lebensmittelvielfaltsverteilung zu bestimmen. Dabei werden sowohl regionale als auch weitere haushaltsspezifische Unterschiede in der Nachfrage basierend auf einem gepoolten kanadischen Datensatz identifiziert. Ergebnisse einfacher Regressionen bestätigen, dass die Nachfrage nach Lebensmittelvielfalt in Kanada von ähnlichen Determinanten bestimmt ist wie in anderen Ländern. Die Quantil-Regressionen zeigen allerdings, dass je nach Quantil signifikant unterschiedliche Einflüsse auf die Vielfaltsnachfrage vorliegen. In den meisten Fällen sind die Haushalte mit der geringsten Vielfaltsnachfrage, insbesondere solche im unteren 10%-Quantil, am stärksten beeinflusst durch Schlüsselgrößen wie Haushaltsgröße, (Real)einkommen und Alter als Haushalte mit einer höheren Nachfrage nach Vielfalt. Die Ergebnisse zeigen auch, dass die Vielfaltnachfrage über die Zeit nicht konstant ist, sondern 1996 und 2001 niedriger ist als 1984. Der Rückgang in der Vielfaltsnachfrage über die Zeit ist größer bei Haushalten in den mittleren Quantilen im Vergleich Haushalten an den Enden der Vielfaltsverteilung.

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  • Drescher, Larissa S. & Goddard, Ellen W., 2011. "Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114484, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi11:114484

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    Cited by:

    1. Marian Rizov & Andrej Cupak & Jan Pokrivcak, 2015. "Food security and household consumption patterns in Slovakia," LICOS Discussion Papers 36015, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    2. Mousumi Das, 2014. "Measures, Spatial Profile and Determinants of Dietary Diversity: Evidence from India," Working Papers id:6273, eSocialSciences.
    3. Lara Cockx & Nathalie Francken & Hannah Pieters, 2015. "Food and nutrition security in the European Union: Overview and case studies," FOODSECURE Working papers 31, LEI Wageningen UR.
    4. Liu, Jing & Shively, Gerald E. & Binkley, James K., 2014. "Access to variety contributes to dietary diversity in China," Food Policy, Elsevier, vol. 49(P1), pages 323-331.
    5. Adrej Cupák & Ján Pokrivčák & Marian Rizov, 2016. "Diverzifikácia spotreby potravín na Slovensku
      [Diversity of Food Consumption in Slovakia]
      ," Politická ekonomie, University of Economics, Prague, vol. 2016(5), pages 608-626.
    6. Liu, Jing & Shively, Gerald & Binkley, James K., 2013. "Dietary Diversity in Urban and Rural China: An Endogenous Variety Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149624, Agricultural and Applied Economics Association.
    7. Pokrivcak, Jan & Cupak, Andrej & Rizov, Marian, 2015. "Household food security and consumption patterns in Central and Eastern Europe: the Case of Slovakia," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207287, Italian Association of Agricultural and Applied Economics (AIEAA).


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