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Published in: Journal of Urban Health 6/2020

01-12-2020

Using Land Policy to Improve Population Health

Authors: Christina Stacy, Brady Meixell, Jacob Lowy, Rachel L. J. Thornton

Published in: Journal of Urban Health | Issue 6/2020

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Abstract

We examine whether zoning can increase health equity and population health by assessing a new zoning ordinance in the City of Baltimore that forced 76 liquor stores in residential areas to relocate, close, or convert to an approved use. To do so, we undertake a baseline assessment of neighborhoods with affected liquor stores, and predict the potential impact of the zoning change by estimating the impact of previous closures and openings of liquor stores on neighborhood crime in Baltimore using a spatial Poisson random trend fixed effects model. We find that affected stores are concentrated in high poverty, majority black neighborhoods with high vacancy rates, and that liquor store closings are associated with a statistically significant reduction in violent crime on the block group in question with no negative spillover affects onto the nearby block groups.
Appendix
Available only for authorised users
Footnotes
1
For brevity, we refer to this change as a closure throughout the rest of the paper, since that is the most likely option to be selected by the stores.
 
2
Author calculations based on total liquor stores in 2017
 
3
See Baltimore City Municipal Code Article 32: Zoning (As Enacted & Corrected, Effective June 5, 2017, by Ords. 16–581 & 17–015
And As Last Amended by Ord. 18–216).
 
4
Interview on Oct. 17th 2017
 
5
Interview on Oct. 17th 2017
 
6
Winkelmann, 2008
 
7
Fixed effects estimations in nonlinear models such as this one generally lead to inconsistent estimates. However, the Poisson distribution can be arbitrarily misspecified and any kind of serial correlation can be present and the fixed effects Poisson estimator is consistent under mild regularity conditions (Wooldridge, 2002 p 648). Provided that E(y| x) = exp(), estimates of β are consistent even if the mean does not equal the variance. Therefore, a fixed effects model is appropriate and over dispersion can be ignored.
Winkelmann, 2008
 
8
Because of the riots in the city in 2015 which caused some liquor stores to close, we remove 2015 crimes from the dataset and interpolate them within each block group. This corrects endogeneity caused by crimes from the riots causing stores to close. Results are robust in sign but not significant to inclusion of 2015 crime (see Appendix, Table 7).
 
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Metadata
Title
Using Land Policy to Improve Population Health
Authors
Christina Stacy
Brady Meixell
Jacob Lowy
Rachel L. J. Thornton
Publication date
01-12-2020
Publisher
Springer US
Published in
Journal of Urban Health / Issue 6/2020
Print ISSN: 1099-3460
Electronic ISSN: 1468-2869
DOI
https://doi.org/10.1007/s11524-020-00466-2

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