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Does Where You Live Make You Fat? Obesity and Access to Chain Grocers

Author

Listed:
  • Susan Chen
  • Raymond J.G.M. Florax
  • Samantha Snyder

    (Purdue University,Dept. of Agricultural Economics)

Abstract

This paper investigates the role that aspects of the physical environment play in determining health outcomes in adults as measured by body mass index (BMI). Using spatial econometric techniques that allow for spatial spillovers and feedback processes, this research specifically examines how differing levels of access to large chain grocers has on individual health outcomes. While other studies have investigated the impact of proximity to food retailers, the pointcoordinate data used in this paper is uniquely suited to spatial econometric estimation at the individual level. In addition to modeling spatial dependence and allowing for unobserved neighborhood effects, the flexibility of the model is increased by incorporating potential spatial heterogeneity between wealthier and lower-income neighborhoods. Using survey responses tied to geographic location, demographic, behavioral, and access to chain grocers, this study finds evidence of spatial dependence pointing to locational impacts on BMI. The effect on individual health outcomes of retailer access improvements varies depending on neighborhood characteristics. Our findings suggest structural differences in the variation and sensitivity of BMI dependent jointly on individual and neighborhood characteristics.

Suggested Citation

  • Susan Chen & Raymond J.G.M. Florax & Samantha Snyder, 2009. "Does Where You Live Make You Fat? Obesity and Access to Chain Grocers," Working Papers 09-11, Purdue University, College of Agriculture, Department of Agricultural Economics.
    • Handle: RePEc:pae:wpaper:09-11
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    References listed on IDEAS

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    1. Amy K. Glasmeier & Tracey L. Farrigan, 2007. "Landscapes of Inequality: Spatial Segregation, Economic Isolation, and Contingent Residential Locations," Economic Geography, Taylor & Francis Journals, vol. 83(3), pages 221-229, July.
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    9. Morland, K. & Wing, S. & Roux, A.D., 2002. "The contextual effect of the local food environment on residents' diets: The atherosclerosis risk in communities study," American Journal of Public Health, American Public Health Association, vol. 92(11), pages 1761-1767.
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    Cited by:

    1. Andrews, Margaret S. & Bhatta, Rhea & Ver Ploeg, Michele, 2012. "Did the American Recovery and Reinvestment Act Increase in SNAP Benefits Reduce the Impact of Food Deserts?," 2012 AAEA/EAAE Food Environment Symposium 123520, Agricultural and Applied Economics Association.
    2. Wilde, Parke & Llobrera, Joseph & Ver Ploeg, Michele, 2014. "Population Density, Poverty, and Food Retail Access in the United States: An Empirical Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-16, March.
    3. Ver Ploeg, Michele & Breneman, Vince & Dutko, Paula & Williams, Ryan & Snyder, Samantha & Dicken, Chris & Kaufman, Phillip, 2012. "Access to Affordable and Nutritious Food: Updated Estimates of Distance to Supermarkets Using 2010 Data," Economic Research Report 262227, United States Department of Agriculture, Economic Research Service.

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    More about this item

    Keywords

    body mass index; obesity; spatial dependence; obesogenic environments;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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