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Obesity and Access to Chain Grocers

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Author Info

  • Susan Chen
  • Raymond J. G. M. Florax
  • Samantha Snyder
  • Christopher C. Miller

Abstract

Recent empirical work in the obesity literature has highlighted the role of the built environment and its potential influence in the increasing prevalence of obesity in adults and children. One feature of the built environment that has gained increasing attention is the role of access to chain grocers and their impact on body mass index (BMI). The assessment of the impacts of spatial access to chain grocers on BMI is complicated by two empirical regularities in the data. There is evidence that health outcomes such as BMI are clustered in space and that there is spatial dependence across individuals. In this article, we use an econometric model that takes into account the spatial dependence, and we allow the effect of access to differ for a person depending on whether he or she lives in a low-income community or peer group. We categorize this community using the characteristics of the people who immediately surround the individual rather than using census tracts. Using georeferenced survey data on adults in Marion County, Indiana, we find that the effect of improvements in chain grocer access on BMI varies depending on community characteristics. Copyright (c) 2010 Clark University.

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Bibliographic Info

Article provided by Clark University in its journal Economic Geography.

Volume (Year): 86 (2010)
Issue (Month): 4 (October)
Pages: 431-452

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Handle: RePEc:bla:ecgeog:v:86:y:2010:i:4:p:431-452

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Cited by:
  1. Mancino, Lisa & Ploeg, Michele Ver, 2013. "Stress in the desert: Estimating the relationship among diet quality, allostatic load and food access," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150613, Agricultural and Applied Economics Association.
  2. Matthew, Salois, 2010. "Obesity and Diabetes, the Built Environment, and the ‘Local’ Food Economy," MPRA Paper 27945, University Library of Munich, Germany.
  3. Ver Ploeg, Michele & Dutko, Paula & Snyder, Samantha D. & Kaufman, Phillip R. & Breneman, Vincent E. & Williams, Ryan Blake & Dicken, Chris, 2012. "Enhanced Data and Methods for Estimating Access to Affordable and Nutritious Food for Population Characteristics," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124703, Agricultural and Applied Economics Association.
  4. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Autocorrelation and Verdoorn Law in the Portuguese NUTs III," Papers 1110.5578, arXiv.org.
  5. Mumford, Elizabeth A. & Liu, Weiwei & Hair, Elizabeth C. & Yu, Tzy-Chyi, 2013. "Concurrent trajectories of BMI and mental health patterns in emerging adulthood," Social Science & Medicine, Elsevier, vol. 98(C), pages 1-7.
  6. Li, Xun & Lopez, Rigoberto A., 2013. "Food Environment and Weight Outcomes: A Stochastic Frontier Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151277, Agricultural and Applied Economics Association.
  7. Salois, Matthew & Balcombe, Kelvin, 2011. "Do Food Stamps Cause Obesity? A Generalised Bayesian Instrumental Variable Approach in the Presence of Heteroscedasticity," MPRA Paper 28745, University Library of Munich, Germany.

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