gambling in alberta - Research Services - University of Lethbridge
gambling in alberta - Research Services - University of Lethbridge
gambling in alberta - Research Services - University of Lethbridge
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although this database was provided to the <strong>Research</strong> Team by AGLC, it proved to be <strong>of</strong> limited<br />
utility as gam<strong>in</strong>g employees are not rout<strong>in</strong>ely removed from the registry when they leave the<br />
<strong>in</strong>dustry, which does not permit a determ<strong>in</strong>ation <strong>of</strong> number <strong>of</strong> gam<strong>in</strong>g employees at any given<br />
time. This registry <strong>in</strong>formation also does not conta<strong>in</strong> <strong>in</strong>formation on employment prior to<br />
becom<strong>in</strong>g a registered gam<strong>in</strong>g employee. Know<strong>in</strong>g whether the new employee was previously<br />
unemployed or not and, if he/she was previously employed, which <strong>in</strong>dustry sector he/she came<br />
from is critical <strong>in</strong> help<strong>in</strong>g to understand whether these gam<strong>in</strong>g jobs are ‘new’ jobs or are simply<br />
jobs that have been redirected from other sectors <strong>of</strong> the economy.<br />
A second, more useful source <strong>of</strong> <strong>in</strong>formation on <strong>gambl<strong>in</strong>g</strong> <strong>in</strong>dustry employment and wages<br />
among gam<strong>in</strong>g employees is available from Statistics Canada. The Survey <strong>of</strong> Employment,<br />
Payrolls and Hours is derived from the Bus<strong>in</strong>ess Payroll Survey collected by Revenue Canada.<br />
Pert<strong>in</strong>ent data from this survey is presented below <strong>in</strong> Table 32. This table <strong>in</strong>dicates the annual<br />
number <strong>of</strong> employees <strong>in</strong> Alberta who can be classified as work<strong>in</strong>g for ‘Gambl<strong>in</strong>g Industries’ as<br />
def<strong>in</strong>ed by the North American Industry Classification System (NAICS) (code 7132). This<br />
<strong>in</strong>cludes everyone employed <strong>in</strong> ‘cas<strong>in</strong>os’, ‘lotteries’ and ‘other <strong>gambl<strong>in</strong>g</strong> <strong>in</strong>dustries’. However, it<br />
does not appear to <strong>in</strong>clude the estimated 3,084 full-time equivalent (FTE) positions <strong>of</strong> people<br />
who <strong>in</strong>directly or directly worked <strong>in</strong> the horse rac<strong>in</strong>g <strong>in</strong>dustry <strong>in</strong> 2001 (Econometric <strong>Research</strong>,<br />
2001) or the 2,753 estimated FTE positions <strong>in</strong> 2007 (Serecon Management, 2009).<br />
Table 32 <strong>in</strong>dicates that the number <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> employees <strong>in</strong> Alberta <strong>in</strong>creased from 2,800 <strong>in</strong><br />
1991 to 4,600 <strong>in</strong> 2009. However, this <strong>in</strong>crease is roughly equivalent to the <strong>in</strong>creases seen <strong>in</strong> the<br />
general Alberta workforce, with <strong>gambl<strong>in</strong>g</strong> employees constitut<strong>in</strong>g slightly less than 0.3% <strong>of</strong> the<br />
Alberta workforce throughout this period. This is a fairly small workforce for what is now an<br />
annual $2.5 billion <strong>in</strong>dustry. However, s<strong>in</strong>ce 1994 the large majority <strong>of</strong> Alberta <strong>gambl<strong>in</strong>g</strong><br />
revenue has come from automated electronic <strong>gambl<strong>in</strong>g</strong> mach<strong>in</strong>es (VLTs and slot mach<strong>in</strong>es)<br />
(73% <strong>of</strong> all revenue <strong>in</strong> 2009), and EGMs are the least labour-<strong>in</strong>tensive form <strong>of</strong> <strong>gambl<strong>in</strong>g</strong>.<br />
The wages and work<strong>in</strong>g conditions <strong>of</strong> Alberta <strong>gambl<strong>in</strong>g</strong> employees do not tend to be as<br />
favourable as employees <strong>in</strong> other sectors <strong>of</strong> the Alberta workforce. For one th<strong>in</strong>g, the large<br />
majority <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> employees <strong>in</strong> Canada are paid by the hour rather than on salary, with this<br />
percentage <strong>in</strong>creas<strong>in</strong>g from 80% <strong>in</strong> 1997 to 85% <strong>in</strong> 2009. By comparison, 61% <strong>of</strong> Canadian non<strong>gambl<strong>in</strong>g</strong><br />
employees were paid by the hour <strong>in</strong> 1997 and 65% <strong>in</strong> 2009 (Marshall, 2010). Average<br />
wages are also lower, as seen <strong>in</strong> Table 32. For hourly <strong>gambl<strong>in</strong>g</strong> employees, their hourly wage is<br />
not only lower than the Alberta workforce, but has steadily gone done as a percentage <strong>of</strong> the<br />
Alberta hourly wage, from approximately 77% <strong>in</strong> 1991 to 64% <strong>in</strong> 2009. Wages tend to be more<br />
favourable for salaried <strong>gambl<strong>in</strong>g</strong> employees, whose wages have tended to be <strong>in</strong> the range <strong>of</strong><br />
70% to 90% <strong>of</strong> Alberta salaried employees <strong>in</strong> this time period. In general, the lower wages <strong>of</strong><br />
the <strong>gambl<strong>in</strong>g</strong> workforce is likely reflective <strong>of</strong> the fact that many <strong>gambl<strong>in</strong>g</strong> employees are not<br />
highly skilled (53% <strong>of</strong> <strong>gambl<strong>in</strong>g</strong> employees <strong>in</strong> Canada <strong>in</strong> 2009 had a high school education or<br />
less compared to 40% <strong>in</strong> the general Canadian workforce) (Marshall, 2010). Other relevant<br />
factors are that <strong>gambl<strong>in</strong>g</strong> employees have also tended to be slightly younger than the Canadian<br />
workforce and have historically been more likely to be female (although there is now an equal<br />
sex ratio as <strong>of</strong> 2009) (Marshall, 2010).<br />
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