NBA player: money tree or money pit.
Sale, Martha Lair ; Hunter, Debra Renee
INTRODUCTION
While abundant research is available on certain aspects of sports
marketing and on the relationship between winning records and various
measures of success, there is little, if any research examining the
relationship between the choice of inputs and the financial success of
the sports team (Irwin, et al. 1999). The purpose of this paper is to
examine if there is a positive relationship between player salary cost
and the financial performance of a franchise in professional basketball.
While this paper does not address the salary caps and financial
structures of professional sports, it does examine the effectiveness of
differing managerial approaches to the choice of sports talent. In other
words, is an investment in higher salaries for NBA players justified on
a return on investment (ROI) basis?
Performance in the context of this paper refers to financial
results. Performance, in terms of wins and losses, will be mentioned but
was not the basis of research for this paper. The reasoning for this
approach is simple; ownership of a professional NBA team represents a
significant financial investment and player salary cost is the most
significant operating category. Despite the institution of salary caps
and the high labor cost for players, considerable latitude is exercised
by team management in the strategic choice of how much to pay in total
player salaries. Therefore, performance in this context will be measured
as the correlation between total player salary cost and the financial
performance of the team.
It has been argued that the production, distribution and
consumption of professional sports are unique in many respects (Stotlar,
1994). However, there is a common assumption that a professional sports
team in the United States is a profit seeking business. In fact,
professional sport executives maintain that a professional sports team
is managed similarly to any other business (Mullin et al., 1993). Player
personnel selections greatly influence the business strategy of the
professional sports team (Nourayi, 2006). In this paper we consider the
willingness to incur higher player salaries as a strategic input-choice
characteristic of team management. This characteristic is measured by
total player salary cost. We attempt to determine the correlation
between this strategic management characteristic and the financial
performance of the team. The expected correlation will be modified by
uncontrollable market variables such as market size. In addition to
these market variables, player salary is almost certainly influenced by
a host of moderating variables such as win/loss records and the
popularity of individual players. However, if the perceived similarities
between professional sports and other businesses exist, the cost of this
most important input should influence financial performance. It is hoped
the results of this analysis will provide useful information on how this
managerial characteristic impacts financial success.
PRIOR RESEARCH
As previously noted, there is little research available which is
relevant to the current research question. The available body of
research concentrates primarily on attendance (Soucie, 1994) or win/loss
records (Wakefield and Sloan, 1995) as measures of success in
performance. The weakness in this approach is analogous to a corporation
measuring performance based on market share or gross receipts. Moreover,
as reported in Irwin, et al., (1999), Spolestra (1997) resoundingly
refuted the idea that more victories equals more profit. In spite of
these findings, the news media continue to attribute financial success
of professional sports teams to win/loss records (Teaford, 2002).
In addition to a large body of sports marketing research, a limited
number of papers on a variety of other elements of professional sports
management have been published. Ferrand and Pages (1999) focus on the
image of the professional sports team and associations between
professional sports and sponsorships from other corporations. Nourayi
(2006) demonstrated the suitability of applying a continuous improvement
framework and benchmarking to professional sports team management. This
ambitious work not only analyzed the relationship between win/loss ratio
and fan attendance (ticket sales), it also examined the playing
characteristics of individual players, identified performance gaps, and
explained success in the terms of win/loss.
METHODOLOGY
This study assesses the relationship between total player salary
cost and a team's financial success as measured by operating
income. If player salary cost usually provides an adequate return on
investment, then an increase (decrease) in player salary cost should
generate a corresponding proportional increase (decrease) in operating
income. Therefore, the null hypothesis would be stated as:
[H.sub.O]: Player salary cost has a positive relationship with team
financial performance.
A regression analysis is performed in which player salary cost
serves as the independent variable while operating income is the
dependent variable. This study also analyzes total player salary cost,
operating income, and operating income as a percentage of player salary
cost by team to identify trends and/or patterns.
DATA COLLECTION
For the purposes of this paper, total player salary cost includes
salaries, benefits, bonuses, and penalties incurred as a result of
exceeding the team's salary cap. In the NBA, franchises may exceed
the salary cap, but when they do so, they must pay a penalty equal to
the amount by which they exceed the cap (Salary Cap for 2004-05 is
$43.87 million, 2005). Total player salary cost and operating income for
each NBA franchise was obtained for a ten year period, 1998 to 2007 (NBA
Team Valuations, 2007). For comparability purposes, the Charlotte
Bobcats are excluded from the analysis since this expansion team has
only existed since 2005.
RESULTS
As noted in Table 1, player salary cost is negatively related to
operating income in all but the first of the ten of the years tested.
This relationship is statistically significant at alpha equal to .05 for
the combined model of all ten years and six of the ten individual years
(2001, 2003-2007). These results support a rejection of the null
hypothesis which stated that total player salary cost is positively
related to operating income. The results for 1998, 1999, 2000, and 2002
are not significant at a level of alpha equal to.05. However, all but
the one of these years also show a negative relationship between player
salary and operating income. While the 1999 results may be influenced by
the NBA strike which occurred during the season, no other events can
readily explain the insignificant results for these years.
Table 2 lists the teams with one of the five lowest operating
incomes as a percent of total player salary cost in at least three years
during the study period. Not surprisingly, there are a number of teams
that consistently fall into this category and over the ten years of the
study, only six distinct teams fall into this category.
Similarly, Table 3 presents the teams which generated one of the
five highest operating incomes as a percent of total player salary cost
in at least three years during the 10 year study period. The Chicago
Bulls, which are considered by most to be one of the most, if not the
most, successful NBA team ever, tops this list. A case might be made
that the investment in player salaries during the years prior to 1999
resulted in the exceptional return on player salary in the subsequent
years.
During those pre-1999 years the Bulls roster included many hugely
popular, talented, successful, and expensive players. It is highly
possible this investment in talent built a fan-base that continues to
contribute to the financial success of the franchise. In 1998, the Bulls
incurred more player salary cost, $69 million, than any other team; this
was the only year the Bulls did not rank in the top five teams for the
highest operating income as a percentage of player salary cost. As a
result of restructuring in an attempt to eliminate some older and more
expensive players, the Bulls lost Scotty Pippen, and Dennis Rodman,
among others. These changes, along with Michael Jordan's
retirement, decreased the Bull's player salary cost significantly.
Despite disappointing performance on the court, this decrease in player
salary cost allowed them to generate the highest operating income and
the highest operating income as a percentage of player salary cost in
seven of the next nine years, and they were in the top five the
remaining two years (2002/2006 and 2004/2005, respectively).
While no one can dispute the fan appeal of top athletes such as
Michael Jordan, Dennis Rodman, and Scotty Pippin, the higher salaries
paid to keep these athletes does not necessarily generate enough revenue
to cover the higher salary salary cost and provide an adequate return on
investment for the owner(s) of the sport franchise. This finding
moderates Spolestra's (1997) finding that more victories
corresponds to higher profit only to the extent that these victories may
be achieved without excess player salary cost.
Generalization of this study is limited. This study was limited to
one league of one sport. It remains to be seen whether or not similar
results would be found with other sports or other sport leagues.
REFERENCES
Ferrand, A. & M. Pages (1999). Image management in sport
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http://ejournals.ebsco.com/direct.asp?ArticleID=46EAB624280D1417E3AD.
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Soucie, D., Doherty, A. (1996) Past endeavors and future
perspectives for sport management research, Quest, 48, 486-500.
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Stotlar, D. K. (1994) Successful Sport Marketing. Brown &
Benchmark, Dubuque, IA.
Teaford, E. (2004) Kings showing no love for LA. Los Angeles Times.
August 8, 2004. late edition, S06.
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Martha Lair Sale, Florida Institute of Technology
Debra Renee Hunter, University of Southern Indiana
Table 1: Regression Analysis P-Values
Coefficient X t-Statistic P-value
All -0.17802011 4.748405017 .002831767
2007 -0.81114231 -3.656029367 .001091241
2006 -0.85700253 -4.570937585 .000096468
2005 -0.47335541 -2.127663513 .042645796
2004 -1.09379673 -4.693681922 .000069379
2003 -1.5339911 -5.903464851 .000002730
2002 * -0.21300697 -0.883473409 .384779734
2001 -0.46595732 -2.083729186 .046779412
2000 * -0.07345917 -0.286325759 .776814190
1999 * -0.18395018 -0.694457324 .493328341
1998 * 0.115494832 0.504497664 .618004351
Table 2: Teams Producing the Lowest Operating Income as a % of
Player Salary cost
1998 1999 2000 2001
Mavs (24.1%) (62.5%) (16.7%) (38.3%)
T-blazers - - (17.1%) (21.1%)
Grizzlies - - (20.0%) (25.5%)
Bucks - (65.2%) (27.1%) (26.7%)
Nuggets (25.0%) - - -
Knicks - - - -
2002 2003 2004 2005 2006
Mavs - (24.0%) (41.0%) (18.9%) (24.7%)
T-blazers (27.4%) (85.0%) (63.5%) (35.6%) (22.7%)
Grizzlies - (37.0%) - (22.9%) (25.4%)
Bucks (14.3%) (24.2%) - - -
Nuggets (9.4%) - - - -
Knicks - - (14.6%) - (33.1%)
2007
Mavs -
T-blazers (33.5%)
Grizzlies (16.0%)
Bucks -
Nuggets (11.0%)
Knicks (41.0%)
Table 3: Teams Producing the Highest Operating Income as a % of
Player Salary cost
1998 1999 2000 2001 2002
Bulls - 100.0% 160.0% 157.6% 90.7%
Lakers 65.8% - 63.8% 47.7% 78.6%
Pistons 107.1% - - 45.0% -
Suns - 24.0% 34.7% 55.6% -
Celtics - 9.5% - -- 35.4%
Clippers - - 41.4% 36.4% 47.1%
2003 2004 2005 2006 2007
Bulls 104.3% 64.9% 58.3% 80.3% 115.8%
Lakers - - 57.6% 42.9% -
Pistons 47.1% - 43.1% 34.9% 75.8%
Suns - - 83.3% 74.5% 86.5%
Celtics 46.4% - - - -
Clippers - - - - -