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News From the Trenches!

Stratford, ON (May 20, 2010) — A provincial board in Ontario has upheld the city of Stratford's decision to reject proposals for a cluster of new stores, including a Wal-Mart supercenter, ruling that the proposals "are neither in the public interest nor represent good planning."
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Eagle, CO (Jan. 5, 2010) — Voters in Eagle, Colorado, soundly defeated a proposed big-box lifestyle center yesterday in an election that saw the highest turnout in town history.
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Retail Employment

These studies examine whether the arrival of a superstore increases or decreases the number of retail jobs in the region.


The Effects of Wal-Mart on Local Labor Markets
by David Neumark, Junfu Zhang, and Stephen Ciccarella, Public Policy Institute of California, IZA Discussion Paper No. 2545, January 2007

This study presents the most sophisticated analysis to date of Wal-Mart's impact on retail employment and wages. Analyzing national data, the study found that the opening of a Wal-Mart store reduces county-level retail employment by 150 jobs. Because Wal-Mart stores employ an average of 360 workers, this suggests that for every new retail job created by Wal-Mart, 1.4 jobs are lost as existing businesses downsize or close. The study also found that the arrival of a Wal-Mart store reduces total county-wide retail payroll by about $1.2 million. This study improves substantially on previous studies by convincingly accounting for the endogeneity of the location and timing of Wal-Mart's entry into a particular local market. That is, Wal-Mart presumably does not locate stores randomly. When expanding into a particular region, it may, for example, opt to build in towns experiencing greater job growth. Unless this location selection bias is accounted for, one might compare job growth in towns that gained Wal-Mart stores versus those that did not and erroneously conclude that Wal-Mart caused an expansion in employment. The authors of this study have devised a persuasive method of accounting for this bias. They also argue that the method developed by Basker (see next item below) to account for this bias is flawed and therefore her conclusion that Wal-Mart has a small positive impact on retail employment is not reliable.


Job Creation or Destruction? Labor-Market Effects of Wal-Mart Expansion
By Emek Basker, University of Missouri, Review of Economics & Statistics, February 2005

Often cited and typically misrepresented by Wal-Mart supporters, this study examines the impact of the arrival of a Wal-Mart store on retail and wholesale employment. It looks at 1,749 counties that added a Wal-Mart between 1977 and 1998. It finds that Wal-Mart's arrival boosts retail employment by 100 jobs in the first year - far less than the 200-400 jobs the company says its stores create, because its arrival causes existing retailers to downsize and lay-off employees. Over the next four years, there is a loss of 40-60 additional retail jobs as more competing retailers downsize and close. The study also finds that Wal-Mart's arrival leads to a decline of approximately 20 local wholesale jobs in the first five years, and an additional 10 wholesale jobs over the long run (six or more years after Wal-Mart's arrival). (Wal-Mart handles its own distribution and does not rely on wholesalers). This works out to a net gain of just 10-30 retail and wholesale jobs, and the study does not examine whether these jobs are part-time or whether they pay more or less than the jobs eliminated by Wal-Mart. The study also found that, within five years of Wal- Mart's arrival, the counties had lost an average of four small retail businesses, one midsized store, and one large store. It does not estimate declines in revenue to retailers that survive. Basker looked at the effect of Wal-Mart on retail employment in neighboring communities, but found that the confidence intervals were too large (meaning the results showed wide variation) to draw any conclusion about Wal-Mart's impact. (Her initial working paper, published in 2002, reported an average decline of 30 retail jobs in surrounding communities, but, after correcting an error, she determined the confidence intervals were too large to produce a precise result.)


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