Colors and Cultural Interactions in the Turkish Sport Clubs

Abstract

The purpose of this study was to determine the colors and color combinations used by the professional soccer clubs and to evaluate the proportion of the cultural interaction between the people and colors in Turkey. The study was carried out on 220 soccer clubs which have 480 colors and 220 color combinations evaluated. The study revealed that the combination mostly preferred by the professional soccer clubs in Turkish soccer leagues is red and white with n=26 (11.8%) followed by green and white with n=25 (11.4%). The color the most frequently observed in professional soccer clubs in Turkish soccer is white by 25.8%. This is followed by red by 18.1% and green by 12.5%. The colors preferred by the soccer clubs are general reflection of the cultural richness of the city, region or of the people they represent. This is especially the case for the clubs with deep rooted historical heritage.

The closed and distant environments are integrated and manifest themselves to the people with colors. A person perceives and identifies his or her environment with colors.

Colors have different meanings in different cultures. A certain color may closely be related to the internal worlds of some people, while it may symbolize a moral enlightenment for the others. The clarification of the role of colors in everyday life entails a comprehensive study. However, it is certain that they have different meanings according to the nation, region or culture involved (Allegos & Allegos, 1999).

For instance, black which symbolizes happiness for the Japanese is the indication of sadness and sorrow in many parts of the world. Yellow is a symbol of power in Chinese culture, where it indicates evil and disease for the Turks ( Ögel, 1991; Genç, 1999). Colors closely affect the feeling of people. People may have experience of feelings such as sorrow, happiness and stimulation through the usage of colors (Budzinski, 1986 ).

Psychologists believe that careful selection and use of colors may accelerate the desired response. This shows that the colors have strong relation with the emotional and physical state of the people. The people who chose black and white are thought to prone emotional problems more than the others, while red indicates viability or rage, yellow shows spaciousness and wideness, blue reflects calmness or protectionism and green means joy or stagnancy (Budzinski, 1986).

Colors are purposely utilized in many ways of life. Architects have utilized the effect of color upon the people for many years. For instance a light colored ceiling shows the room higher than it is and light yellow walls gives the impressions of spaciousness. The use of light green walls in classrooms makes the student to focus their attention on the subject and the use of red in factories and similar facilities increases the output. The use of white color in the medical clinics is believed to aggravate the sorrow and the use of light blue decrease it.

Colors also have a dominant role in commercial sales. For example, light colored cars give the impression of being more spacious than the dark colored ones. The dark colored small vehicles are found more repulsive than the light colored vehicles. The use of red on high bridges serves the purpose of preventing suicides with its stimulating effect. In discos the ground is illuminated with red in lively and rock type music and emotional and relaxing blue color in romantic and slow music (Budzinski, 1986; Hallalı & Nazil, 2001).

It can easily be concluded that the use of colors with or without purpose has certain influences on people. This may be due to both psychological and cultural reasons. In this context, the media prepared taking the stimulating and effect of colors has a very positive effect on the performance of the people and the relations among themselves ( Hallalı & Nazil, 2001).

It is obvious that the colors used in sports have various psychological effects upon the teams and their supporters. However, the colors used by the clubs representing a certain region or city may also have cultural implications. If the target of a sport club is successful and increasing its supporters, the marketability has a prime importance.

The facts that, the colors have stimulating effect on the morals of the people, represent certain social values, their effects on the psychology of people and their use outside the sports ground which creates a commercial value show that colors have an important role in achieving the targets of a club. Therefore, the correct use of colors which have such important impacts upon the lives and performance of the people requires the comprehension of their moral, visual and cultural impacts.

Color is described as phenomena resulted from the visual perception of the rays reflected from the matter ( Hallalı & Nazil, 2001) and radiation with a certain wave length within the visual region of the electromagnetic spectrum ( Active, 2000). Colors have been used for therapeutic purposes for so many years. It was realized that colors had psychological and physical effect upon the people ( Hallalı & Nazil, 2001).

The research shows that the most favorite color of the people is blue followed by red and green. The adult men prefer green, ocean blue, orange and dark purple, and adult women mostly like light purple colors. The favorite colors of children are blue, red, green, yellow and orange (Budzinski, 1986).

Colors are classified as fundamental colors (red, blue and yellow), mid colors obtained by the mixture of at least two colors (purple, orange and green) and neutral colors (white, black and grey) ( Hallalı & Nazil, 2001). The colors have different meaning and different effects.

These can be summarized as follows (Kalmık, 1964; Gabain, 1968; Crozier, 1999; Halis, 2000; Wright, 2000b):

Red. Red is a strong color, which stimulates viability, gives physical courage, has stimulating effect, makes visual impact, and may create stress and aggression. It is related with activation of the impulse of “fight or escape”.

Green . Green creates the feeling of love, relaxation, renewal, dependability, environmental consciousness, balance and peace.

Blue. It has a mainly a relaxing, concentration increasing, assisting in mental relief, and relieving effect. However, it may have a cold and senseless impression as well.

Yellow. It symbolizes excitement, self confidence, openness, friendship and creativity. Yellow is more rapidly perceived than the other colors, and eyes are more sensitive to it. This makes yellow one of the favorite colors.

White. It is the symbol of health and hygiene. It has gives the feeling of correctness and trust. However, it makes the eyes tired very fast.

Black. It reminds seriousness and dignity. However, it frequently implies sorrow, death and darkness.

Grey. It is colorless and creates no strong feelings.

Purple (Violet). It creates the feeling of pessimism, regret, fear and opposite feelings. It is perceived as the indication of power and divinity.

Orange. It gives the sense of brightness and warmth. It has a powerful activating effect. It creates the feeling of openness and increases the will to live.

Pink. It expresses kindness, softness, happiness and pleasure which are regarded as feminine feelings. That was why the soccer clubs refrain from using this color.

Brown. It induces seriousness, warmth, robustness and support. It mainly addresses the adults. It may occasionally result in melancholic feelings.

Starting from these let us evaluate the color and color combinations used by the soccer clubs for symbolic purposes and investigate their interactions and implications on people.

Method

The research covers 220 soccer clubs playing in the 1 st, 2 nd and 3 rd divisions of Turkish soccer league for the last four seasons. Each sport club is counted once.

Following the investigation of 480 colors and 220 color combinations, their frequency (F) and percentage distributions (%) were evaluated by the use of SPSS 11.0 software. The shirt colors of 220 soccer clubs in Turkish soccer leagues were counted one by one, and than the most frequently used single color by the Turkish soccer clubs was determined. The color combination was also counted and their frequency (F) and percentage distributions (%) were determined.

In addition, the shirt colors of some soccer colors were taken as samples, and they were used for evaluation and comparison purposes.

Results

According to the investigation of the color combination of the soccer clubs different Turkish soccer divisions between 2000 and 2004, Table 1 shows that, the most favorite combination is white-red with n=26 (11.8%) followed by white-green with n=25 (11.4%), white-blue with n=14 (6.36%), red-black with n=15 (6.82%) and red-violet with n=14 (6.36%).

[Table 1. About Here]

The number of colors was found as 480 since some clubs use more than two colors. As seen from Table 2, the most widely used color by the Turkish soccer clubs is white with n=124 (25.8%) followed by red with n=87 (18.1%) and green with n=60 (12.5%).

[Table 2. About Here]

Discussion 

The study revealed that the selection of the colors of the shirt of the clubs is based on incidents, meanings and symbols of life. This is especially the case for the clubs with historical roots. It is observed that the colors which are the indication of cultural values of a certain region, city or a group of people are reflected in the colors of the clubs. However, there are cases which are the opposite of this situation. However, the colors of most of the clubs are seen to be influenced by the value treasured by the region or city of the people. This may be attributed to geographical, local, national, moral and institutional factors. Let us briefly examine each one.Discussion

The study revealed that the selection of the colors of the shirt of the clubs is based on incidents, meanings and symbols of life. This is especially the case for the clubs with historical roots. It is observed that the colors which are the indication of cultural values of a certain region, city or a group of people are reflected in the colors of the clubs. However, there are cases which are the opposite of this situation. However, the colors of most of the clubs are seen to be influenced by the value treasured by the region or city of the people. This may be attributed to geographical, local, national, moral and institutional factors. Let us briefly examine each one.

Geographical Factors. The color of some of the sport clubs in Turkey was determined by taking the geographical location into account. For instance, blue-green colors of Rizespor are based of blue color of the sea and green color of the forests. Bursaspor took its green and white color from the snow of Uludağ Mountain and green of the Bursa plain.

Elazığspor (Claret red-White) took its colors from the claret red-white onyx unique to the region. The colors of Gençlerbirliği were taken from the color of corn poppy of Ankara steppes. Ankaragücü, on the other hand, took its violet and yellow color from the violet color of the famous “misket” grapes of the region where yellow was taken from the famous melon of Ankara as a symbol of power (Kalmık, 1964; MKE Ankaragücü Kulübü , n.d.).

Regional Factors. Diyarbakırspor (green and red) was founded by the merge of the amateur clubs Diclespor and Yıldızspor on 24 June 1968. The club took its green color from Yıldızspor ands red from Diclespor. However these colors are the colors of the out and inside of famous water melon of Diyarbakırspor (Diyarbakırspor, n.d.).

The red and white colors of Kahramanmaraşspor represent the two famous products of the city: ice cream and red pepper. Trabzonspor, on the other hand, took its claret red and blue colors from the scales and the eyes of the famous fish of the region, “hamsi” (Kalmık, 1964; Nntvmsnbc, 2002; Mynet.com, 2003; Milliyet.com.tr, 2004b).

National and Moral Factors. Red and black colors of Gaziantepspor represent the blood of 6314 people who died fighting against the French and Armenians during the Independent War and those dark days (Gaziantepspor, 2003). Antalyaspor inspired from the red and white colors of the Turkish flag (Nntvmsnbc, 2002).

The selection of black and yellow for Istanbulspor was to commemorate the students of Istanbul boy’s high school who lost their lives or got wounded in the World War I. Fenerbahçe changes its original colors of yellow and white due to its dislike towards the monarch regime and weakness of these colors. The club later selected yellow and navy blue as its color where yellow represents jealousy felt for Fenerbahçe and navy blue represents the dignity and nobility. The team also successfully uses white for cleanness and clarity, red for love and loyalty and green for success in its symbol and badges ( Kayserilioğlu, 2003; Milliyet.com.tr, 2004a).

The initial colors of Beşiktaş were red and white when it was first founded in 1903. However, it was turned into black and white till the ground lost in Balkan war was captured again. It also served to commemorate the ones who went to Balkan war and did not come back. However, the current perception of Beşiktaş’s colors is that winning and loosing are as natural as day and night ( Bjk.com, 1995).

The selection of Konyaspor green and white colors was totally based upon moral reasons. The first colors of the club were black and white. However the black color was latter changed into green, the holly color of Islam. This may be attributed to the conservative and religious structure of Konya province.

Samsunspor added black to its original red and white color to remember its players who died in a tragic traffic accident in 1989 (Samsunspor Kulübü, n.d.).

Institutional factors. Siirt Köy Hizmetleri was founded by the Turkish Village Works Office and the club accepted the official color of yellow and blue of the office. Kardemir Demir Çelik Karabükspor, a team of the iron processing town of Karabük, took the red and blue color of melted iron (Batı Karadeniz Haber Ajansı, n.d.).

Yimpaş Yozgatspor (Red-Black) became the sister club of one of the popular teams of 1960s Karagümrük and accepted Karagümrük’s colors.

The investigation of 480 colors of 220 teams as regards to preference of colors showed that (Table 2) white ranks first with 25.8 %. Red comes second with 18.1% followed by green with 12.5%. Blue comes seventh with 7.71%.

The reasons that the white is the most preferred color among the Turkish clubs are that Turkish people have special liking to it and white has cultural implications coming from history. Turkish people regard white as the symbol of cleanness, purity, holiness and experience ( Ögel, 1991). The fact that the white is most widely used color by the Turkish clubs is the indication that it has upper cultural value. Among the sub cultural colors liked by the Turkish nation, red comes second (18.1%), green comes third (12.5%) and yellow comes sixth (8.96%).

In England and Scotland, the most popular color preferred by the soccer teams is blue. This is followed by red ( British Council, 2001). Although first choices are different there is a striking similarity in the second choices. The wide use of red in sports is probably due to its psychological effects.

The study revealed that the least popular color among Turkish soccer clubs is pink (0.21%). This is also the case for the other countries in the world. This is due to the fact that pink creates a soft and feminine image (Allegos & Allegos, 1999).

When we look at the color combinations of soccer clubs, the most popular combination among the Turkish soccer teams is red and white with 26 teams (Table 2).

According to a newspaper report, the most popular color combination among 205 Turkish soccer teams playing in Turkish divisions in 1998-1999 soccer season was green and white with 19 teams. This is followed by red and white with 19 teams and red and black with 13 teams ( Hallalı & Nazil, 2001).

According to research carried out on 43 European countries, the most preferred color combination among the soccer clubs is blue and white with 169 teams (Berke & Utku, n.d.). The research stated that the choice of color combinations after blue and white was red and white (123 teams), red and blue (58 teams), black and white (56 teams), red and black (50 teams), yellow and violet (48 teams) and green and white (46 teams).

According to data listed in Table 2, the most preferred color combinations in Turkish soccer teams after red and white are green and white with 25 teams, blue and white with 14 teams, red and black with 15 teams and red and violet with 14 teams.

This shows that there is a difference of preference between the club colors in Europe and Turkey. This complies well with the fact that the choice of club colors is shaped according to the different symbols and meanings of colors from country to country ( British Council, 2001).

Colors show different cultural meanings in different atmosphere. But generally, it’s similar to the psychological effects of the colors which occur on people. The people in white colored room were observed to be much more restless and leave the location earlier than the people in brown colored room. In the same example the people were given coffee from thermoses with four different colors. They described the coffee from the brown thermos as “dark and strong”, the coffee from red thermos as “sweet”, the coffee from blue thermos as “light with good aroma” and the coffee from the yellow thermos as “bad” (Budzinski, 1986 ).

It was also observed that the pulse rate was accelerated under red light while blue illumination relaxed the muscles, rectified the blood pressure and decreased the pulse rate ( Wright, 2000a).

The firm knowledge psychological effects of colors ( Mynet.com, 2003), the effect of colors upon the fans, their ability to establish a cultural value and their capacity of creating commercial activity is of great importance in the selection of the color for the newly founded clubs. It is known that one of the biggest factors for the marketability of a club is strong and visually effective colors (Allegos & Allegos, 1999).

Conclusions

In conclusion, we stress following points. Colors are very important due to their physical effect they induce on people. One of the prime factors which play a determining role on the selection of the clubs by the children is attractive and strong colors (Allegos & Allegos, 1999).

The use of colors with cultural significance may create a feeling of possession and support upon the people. For instance, the claret red-blue colors of Trabzonspor are based the color of the eyes and scales of special fish called “hamsi”, the major product of the city.

The colors to be selected must also be suitable to be used in daily outfits. This will create an additional economical value. The yellow and red colors of Galatasaray are observed almost in every walk of life and became a part of our daily culture. The use of psychological power of red and yellow is important for both to create an economical value and strengthen the support given to the club.

Colors are similar to musical notes. As jazz pianist Thelonius Monk said “there is no wrong note”. What is important is the selection of the appropriate note or color (Wright, 2000c).

We can conclude that the colors of the clubs are the reflectance of the cultural and historical aspects of the people living in different city or region. Therefore the newly established teams must choose their colors taking all these criteria into account.

The soccer clubs with national and international support not only utilize the effect of the colors they selected but they also make the effective use of their symbols. The canary of Fenerbahçe, the lion of Galatasaray and the eagle of Beşiktaş are good examples for that. The investigation of the effects of symbols is the subject of another study.

References

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Table 1

Color Combination of Turkish soccer clubs

 

Combination 1. White Combination 2. Red Combination 3. Green Combination 4. Violet Combination 5. Black Combination 6. Yellow Combination 7. Blue
Colors f % Colors f % Colors f % Colors f % Colors f % Colors f % Colors f %
Red 26 11.8 Green 10 4.55 Black 6 2.73 Yellow 9 4.09 Yellow 9 4.09 Blue 2 0.91 Orange 3 1.36
Green 25 11.4 Black 15 6.82 Yellow 8 3.64 Blue 4 1.82 Blue 1 0.45 Lilac 1 0.45 Claret red 2 0.91
Black 11 5 Violet 14 6.36 Blue 4 1.82 Orange 1 0.45 Orange 3 1.36
Violet 10 4.55 Yellow 11 5 Orange 3 1.36 Purple 1 0.45
Yellow 1 0.45 Blue 5 2.27 Pink 1 0.45 Turquoise 2 0.91
Blue 14 6.36
Orange 2 0.91
Claret red 8 3.64
Purple 7 3.18
Lilac 1 0.45
TOTAL 220 Team

Table 2

Color Ratios of the Turkish soccer clubs

COLORS f %
White 124 25.8
Red 87 18.1
Green 60 12.5
Black 47 9.79
Violet 44 9.17
Sari 43 8.96
Blue 37 7.71
Orange 13 2.71
Claret red 10 2.08
Purple 8 1.67
Turquoise 4 0.83
Lilac 2 0.42
Pink 1 0.21
Total 480 100
2015-03-24T09:12:34-05:00March 6th, 2005|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on Colors and Cultural Interactions in the Turkish Sport Clubs

Intelligence and Football: Testing for Differentials in Collegiate Quarterback Passing Performance and NFL Compensation

Abstract

This article presents an empirical analysis of the relationships between intelligence and both passing performance in college and compensation in the National Football League (NFL). A group of 84 drafted and signed quarterbacks from 1989 to 2004 was selected for the study. The author hypothesizes that intelligence is the most important and perhaps most rewarded at this position, and a wide variety of passing performance statistics are available to separate the effects of intelligence and ability. The OLS-estimated models reveal no statistically significant relationship between intelligence and collegiate passing performance. Likewise, the author finds no evidence of higher compensation in the NFL for players with higher intelligence as measured by the Wonderlic Personnel Test administered at the NFL Scouting Combine.

Introduction

Every February hundreds of collegiate football players gather in Indianapolis at the NFL’s scouting Combine, a four-day event designed for NFL scouts to evaluate the talent of the year’s draft eligible players. Many players likely to be drafted in the first round of the NFL draft will refrain from taking the skills and agility tests in Indianapolis, and will schedule “pro days” at their university where they are more comfortable with the atmosphere and expected results of their workouts. All prospects at the Combine undergo X-rays and physicals to address current and past injuries. All players will also take a 12-minute test designed to measure intelligence, the Wonderlic Personnel Test.

First used by a handful of teams in the 1970s, the Wonderlic is a 50-question test designed to be taken in 12 minutes to measure the athlete’s general intelligence (ESPN, 2002; FairTest Examiner, 1995). The score is calculated as the number of questions correctly answered in the allotted time. As a matter of practice, most players do not answer all 50 questions in the time allotted. Wonderlic scores vary by position, though NFL draftees have averaged a score of 19 over the last 20 years. A Wonderlic score of 20 indicates the test taker has an IQ of 100, which is the average intelligence (Wonderlic.com). The Wonderlic website states that higher scores mean higher intelligence, and intelligence has an impact on playing style and leadership, especially for quarterbacks. The accuracy of this contention will be empirically tested in this article.

This article will also examine the intelligence in two additional models to determine relationship between intelligence and a player’s rookie year compensation and the relationship between intelligence and where an athlete is selected in the NFL draft. This article is particularly relevant in the modern draft era because the millions of dollars spent scouting and signing draftees represent a significant investment by NFL franchises. To the extent that intelligence has an effect on passing ability, NFL franchises may be willing to reward players with such mental abilities. However, if no relationship exists between tested intelligence and performance, then NFL franchises can better utilize resources by focusing on other aspects of player evaluation.

Methodology and Data Sources

The player data for this study were collected from ESPN.com, various NFL draft prospect websites and official university athletics sites. The data include information on 84 drafted NFL quarterbacks who received rookie year salaries between 1989 and 2004. 1 However, due to the limited public availability of Wonderlic scores prior to 1999, most of the quarterbacks used in this study were drafted in the last six years. Although the test results are not officially released, in recent years the Wonderlic scores have been available on the Internet at NFL.com for many players at the Combine. Salary data were obtained from ESPN.com and USAToday.com between 2001 and 2004 and from USA Today newspaper clippings prior to 2001.

Comparing the distribution of the data used in this study to the total current population of NFL quarterbacks, the author finds a similar proportion of non-white quarterbacks (about 20 percent in each), but a slightly higher proportion of Division 1A quarterbacks in the data (89 percent compared to 80 percent). Such comparisons are important as intelligence tests are frequently found to generate sizable ethnic differences, and such biases could affect the results and interpretation of the model if the sample data is not a representative subset of the true population of NFL quarterbacks (FairTest Examiner, 1995).

Modeling Intelligence and Collegiate Passing Performance

The first relationship this paper addresses is the relationship between intelligence and quarterback passing performance. Using the same set of independent variables in each model, an equation is estimated for each of the dependent variables to measure a quarterback’s passing performance, career passing efficiency (Model I) and total offense per game (Model II). The quarterback’s best collegiate year in terms of total offense per game is used in this analysis.

NFL scouts and coaches assign draft grades to players based on collegiate production and ability. In particular, scouts highly value attributes such as height, quickness, arm strength, vision, leadership and intelligence (CNN/SI, 1998). As such, we develop a model based on the expected contributions of these characteristics (where quantifiable) to a quarterback’s passing performance.

We expect that height may have a positive relationship with passing performance. Taller players can better read defenses, find receivers and avoid having passes deflected by defensive lineman. We expect that a player’s quickness (lower 40-yard dash times) will have a positive relationship with total offense but no effect on passing efficiency. Likewise, NFL scouts expect the quality of a quarterback’s offensive peers to have a positive effect on his passing performance. The models include a DRAFTCLASS variable to control for the general quality of the quarterback’s senior class. DRAFTCLASS is a count variable of players drafted into the NFL during the quarterback’s senior year.

There are no a priori expectations for the relationship between intelligence (as measured by WONDERLIC) and passing performance. Likewise, there are no a priori expectations for the relationship between passing performance and Division 1A football. There are no a priori expectations for the relationship between a quarterback’s race and his passing performance.

The models developed in this section are estimated by OLS without a constant. All dependent and independent variables have been transformed and are centered on the mean of the observed variable to aid in the interpretation of the marginal effects of each explanatory variable. In particular, all effects are for a quarterback with characteristics at the mean, the values of which are shown in Table 1.

Table 1: Summary Statistics of Dependent and Independent Variables

Variable Mean Std. Dev. Min Max
HEIGHT (inches) 74.80 1.45 71.38 77.63
FORTY (seconds) 4.84 0.18 4.36 5.37
DRAFTCAST (# of drafted offensive teammates) 3.08 2.20 0.00 7.00
DRAFTCLASS (# of drafted players from team) 3.69 2.50 1.00 14.00
WONDERLIC 25.45 7.13 10.00 42.00
Division 1A, 1=yes 0.89 0.31 0.00 1.00
Race, 1=non-white 0.20 0.40 0.00 1.00
NCAA (career NCAA passing efficiency) 135.91 12.09 104.35 168.82
TOPGB (total offense per game, best year) 273.57 64.94 109.36 527.20
DRAFT 108.76 82.77 1.00 250.00
REALSAL 769,863 808,343 30,515 2,735,854
NFL ROOKIE RATNG 69.06 27.86 8.80 140.20

As shown in Table 2, the hypothesized model for estimating passing performance does a considerably better job explaining TOPGB than NCAA. In fact, the F Value for the Model I is not statistically significant, suggesting that within the sample of players in this dataset, the model has no explanatory power. This may be the case with a relatively homogenous group of individuals – because all players are similar in ability levels, insignificant variation may exist to accurately estimate the model. This is not the case in Model II where significant variation exists within the TOPGB variable, reflecting not only the quality of the team and the opponents, but also the style of offensive attack.

The expected relationship between a player’s HEIGHT and his passing ability is not found in the passing efficiency model (Model I), suggesting that the collegiate passing performances of this group of NFL-caliber quarterbacks do not vary with height. However, RACE is statistically significant in both models, suggesting that non-white quarterbacks are better than their white peers in terms of passing efficiency and total offense per game. In particular, non-white quarterbacks average 8.9 points higher in passing efficiency and 44.8 more total offensive yards per game than their white peers. DRAFTCAST, the quality of the quarterback’s offensive peers, as measured by the number of offensive teammates drafted during his collegiate career, is statistically significant in the total offense per game model. This effect may reflect the self-selection of better quarterbacks into the top collegiate programs known to produce many NFL-caliber prospects. DRAFTCAST is a count variable with a maximum value of seven. The expected negative relationship is found because in the absence of other offense threats, the team will naturally rely more on the abilities of the quarterback. The estimated coefficient has the interpretation that for each NFL-caliber offensive teammate, a quarterback will average 14 fewer total offensive yards per game.

The coefficients in Model I and Model II reveal no statistically significant relationship between a quarterback’s Wonderlic score and his passing performance in college. It should be noted, however, that considerable differences in both terminology and depth exist between collegiate and NFL playbooks, and a quarterback’s intelligence may affect his passing performance in the NFL even if it does not in college. Model V developed in the next section will test if a quarterback’s intelligence affects his NFL passing efficiency during his rookie year.


Table 2: Passing Efficiency and Total Offense models

(Model I) (Model II)
NCAA TOPGB
HEIGHT (inches) 0.439 -4.098
(0.44) (0.84)
FORTY (seconds) 4.57 71.917
(0.52) (1.68)*
DRAFTCAST (# of drafted offensive teammates) 0.621 -14.083
(0.8) (3.73)***
DRAFTCLASS (# of drafted players from team) 0.545 0.419
(0.81) (0.13)
WONDERLIC 0.043 0.366
(0.21) (0.36)
Division 1A, 1=yes -1.115 4.99
(0.66) (0.61)
Race, 1=non-white 8.886 44.836
(2.17)** (2.26)**
Observations 84 84
F Value 1.37 4.58***
R-squared 0.11 0.29
Adjusted R-squared 0.03 0.23

Absolute value of t statistics in parentheses
* significant at 10%; ** significant at 5%; *** significant at 1%

Modeling Intelligence and the NFL draft

This section focuses on the relationship between intelligence and quarterback draft position (Model III) and compensation (Model IV). The player’s rookie year salary (REALSAL) is his first-year compensation in 2004 dollars against the salary cap. Despite the fact that the structuring of contracts varies greatly between first-round picks and all other selections, the player’s rookie year salary reflects the team’s relative willingness to pay for a rookie quarterback given the availability of free agent quarterbacks and the limits of the NFL salary cap and team-specific rookie cap. 2 In recent years, NFL franchises have increasingly used incentive clauses, deferred and option bonuses in addition to traditional signing bonuses to defer the cost of signing first-round draft picks. Such a structuring of contracts also insulates the franchises against the risk inherent in both the evaluation of athlete’s abilities and the likelihood of serious injury. The quarterback’s draft position (DRAFT) is his selection number in the draft (e.g., a quarterback selected with the eighth choice in the second round (40th overall pick) would have a draft position of 40.)

If reality does indeed reflect what the previous models suggest (that intelligence has no affect on passing ability), then it is doubtful that a player’s Wonderlic score will affect the dependent variables – DRAFT and REALSAL – in Model III and Model IV. To the extent that his past performance is indicative of his true ability as a quarterback (and there is great debate on this issue), then the quarterback’s draft position and rookie year salary should primarily be explained by themeasures of his collegiate passing performance and the expected ease of his transition to the professional ranks. The models estimated below reveal that only one of the two measures of collegiate passing performance, TOPGB, is statistically significant in both Models III and IV.

The coefficients of the Models III and IV should be of opposite signs due to the inverse relationship between draft position and a player’s salary. This is indeed observed in the comparison of the two models as shown in Table 3. The signs of the coefficients generally reflect the a priori expectations, with some interesting exceptions. Note that while quarterbacks benefit substantially from the number of collegiate NFL-caliber offensive teammates in Model III and Model IV, Model IV suggest that franchises do make efforts to account for the general quality of the player’s offensive (e.g., offensive cast teammates include wide receivers, running backs, and tight ends, but exclude the offensive line) and defensive teammates as reflected in the negative coefficient of DRAFTCLASS. Both DRAFTCAST and DRAFTCLASS represent competing peer effects in the model. While the estimated DRAFTCAST coefficient is of similar sign and significance in previous literature (Mirabile, 2004), it should be emphasized that the datasets for this and the previous study were considerably different, in particular the latter was composed of both drafted and non-drafted athletes.

Table 3: Draft, Salary, and NFL passing models

(Model III) (Model IV) (Model V)
DRAFT REALSAL NFL ROOKIE RATING
HEIGHT (inches) -14.55 216,192 -4.19
(2.36)** (3.99)*** (1.49)
FORTY (seconds) 200.83 -2,304,356 22.98
(3.68)*** (4.81)*** (0.97)
DRAFTCAST (# of drafted offensive teammates) -12.04 128,819 -2.41
(2.24)** (2.73)*** (0.94)
DRAFTCLASS (# of drafted players from team) 6.15 -80,140 -0.50
(1.50) (2.22)** (0.28)
WONDERLIC -1.08 -1409 -0.57
(0.85) -0.13 (0.96)
Division 1A, 1=yes -39.30 290396 8.16
(3.81)*** (3.20)*** (1.64)
Race, 1=non-white -6.47 -273,860 -2.89
(0.25) -1.21 (0.26)
TOPGB -0.53 5,155 -0.04
(3.27)*** (3.63)*** (0.48)
NCAA -0.21 12,598 0.45
(0.27) (1.84)* (1.16)
Observations 84 84 61
F Value 7.42*** 8.85*** 0.82
R-squared 0.47 0.51 0.12
Adjusted R-squared 0.41 0.46 -0.03

Absolute value of t statistics in parentheses
* significant at 10%; ** significant at 5%; *** significant at 1%

The coefficient on the quarterback’s Wonderlic score is not statistically significant, suggesting that NFL franchises do not select smarter quarterbacks sooner or compensate them better than their peers, ceteris paribus. The regression results show that quarterbacks are compensated not only for than their collegiate passing performance, but for how the quarterback is expected to perform in the NFL. Note these expectations take the form of significant coefficients for a player’s height, time in the 40-yard dash, and level of past competition (Division 1A). Such traits are highly prized for rookie quarterbacks, whose ultimate success is determined by their ability to adjust to the size and the speed of NFL opponents. The conclusion from these coefficients is that either intelligence is not an important factor in drafting and compensating rookie quarterbacks or that concerns about a quarterback’s intelligence raise flags which are consistently investigated and subsequently lowered before the draft. Although the models revealed no compensation for smarter players at the quarterback position, such compensation may indeed exist at other positions where such a wide variety of performance statistics are not readily available.

As suggested previously, a quarterback’s intelligence may affect his passing performance in the NFL even if it does not in college. Model V uses the same group of independent variables utilized in previous models to explain the dependent variable, NFL ROOKIE PASSING, the quarterback’s NFL rookie passing efficiency rating. The formula for passing efficiency in the NFL is different from its NCAA counterpart, with NFL passing efficiency employing different scales and a capped system. Because many rookie quarterbacks receive little or no playing time, this variable is not perfectly observed and could be subject to significant measurement error. Only 61 of the 84 observations have observed passing efficiency statistics during their rookie year. In fact, due to the wide variation in playing time among rookie quarterbacks, the variance in this measure is quite large. The results show a negative but not statistically significant relationship between passing efficiency in the NFL and intelligence as measured by the Wonderlic test.

Discrimination in the NFL Draft

In this section, we will briefly address the literature’s history of NFL discrimination and test whether any evidence of discrimination exists at the quarterback position within the developed models. As has been noted in previous literature (Kahn, 1992), white athletes have historically benefited from a race premium. However, using data from the 1996 season, Gius and Johnson (2000) found evidence of reverse discrimination in the NFL with whites earning 10 percent less than their black peers, results they believe were not previously found because prior investigations used data from the 1970s and 1980s.

We can utilize a group means t-test to determine whether the observed distributions of REALSAL and DRAFT are statistically different for white and non-white quarterbacks. After employing t-test of each of these variables, we can reject the hypothesis of equal means for DRAFT but not REALSAL. In particular the mean DRAFT position for white quarterbacks was 117.3 (with a standard error of 10.2) and the mean DRAFT position for non-white quarterbacks was 75 (with a standard error of 17.5). Although this result is significant at the five percent level, given the relatively small sample size, we should be hesitant to infer the existence of discrimination. Model III and Model IV are better able to test for evidence of discrimination against non-white quarterbacks by controlling for all other differences between the two groups. In fact, neither model reveals evidence of such discrimination directly, though this result may change if the time period of the study were different.

Summary and Conclusions
The market for NFL rookie quarterbacks was examined between 1989 and 2004. Attempts to model passing performance using player and team characteristics revealed statistically significant relationships between a quarterback’s collegiate passing performance and his race and teammates. Intelligence, as measured by the Wonderlic score, was statistically insignificant. Likewise, while expected relationships were found between collegiate passing performance and NFL rookie year salary, the author found no statistically significant relationship between intelligence and compensation or intelligence and draft number after controlling for passing ability. Although the models revealed no compensation for smarter players at the quarterback position, such compensation may indeed exist at other positions where such a wide variety of performance statistics are not readily available. Future studies may endeavor to control for more of the franchise- and league-specific factors that impact the drafting and compensation of collegiate athletes.

This article presents empirical evidence that within the modern draft era, there exists no statistically significant relationship between intelligence and quarterback performance at either the collegiate or professional level. Likewise, more intelligent quarterbacks are neither selected earlier nor compensated more for their mental abilities. Since no statistically significant relationship exists between tested intelligence and performance within the data examined in this study, NFL franchises might better utilize resources by focusing on other aspects of quarterback evaluation.

Notes

1. This distinction is made because there are groups of quarterbacks who are drafted but not signed, and likewise a group of undrafted free agent quarterbacks who do sign NFL contracts in their rookie years. The group analyzed in this paper is composed only of players who are both drafted and signed.

2. The rookie cap, the amount of salary cap dollars available to sign rookies, is determined by the number and placement of each team’s draft selections in a given draft.

 

References

  1. CNN/SI. (1998) “What NFL teams look for in a player,” CNN/Sports Illustrated. http://sportsillustrated.cnn.com/football/nfl/events/1998/nfldraft/news/1998/04/14/whatscouts/ (accessed March 7, 2005).
  2. Duberstein, M.J. (2002) NFL Economics Primer 2002 , National Football League Players Association. http://www.nflpa.org/PDFs/Shared/NFL_Economics_Primer_April_2002.pdf (accessed March 7, 2005).
  3. Duberstein, M.J. (2003) Pipeline to the Pros , National Football League Players Association. http://www.nflpa.org/PDFs/Shared/Pipeline_To_The_Pros_(Revised_June_2003).pdf (accessed March 7, 2005).
  4. ESPN. (2002) “So, how do you score?” ESPN.com. http://espn.go.com/page2/s/closer/020228test.html (accessed March 7, 2005).
  5. FairTest. (1995) “Testing Pro Football Players.” FairTest Examiner. http://www.fairtest.org/examarts/spring95/wonderli.htm(accessed April 5, 2005).
  6. Gius, M. & Johnson, D. (2000) “Race and Compensation in Professional Football.” Applied Economics Letters, 5, 703-705.
  7. Kahn, L.M. (1991) “Discrimination in Professional Sports: A Survey of the Literature.” Industrial and Labor Relations Review , 44, 395-418.
  8. Kahn, L.M. (1992) “The Effects of Race on Professional Football Players’ Compensation.” Industrial and Labor Relations Review , 45, 295-310.
  9. Mirabile, M. (2004) “The Peer Effect in the NFL Draft.” The Sport Supplement, 12(3). (accessed April 5, 2005).
  10. USA Today. (2005) “USATODAY.com – Football salaries database.” USAToday.com. http://asp.usatoday.com/sports/football/nfl/salaries/default.aspx (accessed March 7, 2005).
  11. Whittingham, R. (1992) The Meat Market: The Inside Story of the NFL Draft, New York: MacMillan Publishing Company.
  12. Wonderlic, Inc. (2004) “How Smart is Your First Round Draft Pick?” Wonderlic.com. http://www.wonderlic.com/news/summer04/mm_article1.htm (accessed December 10, 2004).

Author Information

McDonald P. Mirabile

macmirabile@yahoo.com

2747 South Glebe #405
Arlington, VA 22206

919.619.6831

2020-10-06T08:27:11-05:00March 5th, 2005|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on Intelligence and Football: Testing for Differentials in Collegiate Quarterback Passing Performance and NFL Compensation

NBA Salaries: Role Players and Superstars

ABSTRACT

This study uses quantile regressions to evaluate salaries of NBA players in the 2001–2002 season separately for big men and guards. Quantile regression allows the measurement of the return to player attributes for guards and big men at different salary (skill) levels along the distribution of NBA salaries.

І. Introduction

The salaries of National Basketball Association (NBA) players constitute the primary component of costs of NBA franchise operation. Despite this, there is little theoretical or empirical groundings for the salary determining process of players. This analysis estimate players’ salaries, separating players into two groups: big men (forwards and centers in the League) and guards. Additionally, the study utilizes quantile regression procedures to estimate salaries of big men and guards. Quantile regression allows the measurement of the effect of performance attributes on players’ salaries at different points along the salary distribution. Indeed, the returns to attributes may also differ greatly by player position for low-salary, low-skill, bench-warmers on a team relative to high-salary, high-skill superstars.

II. Data and Results

Individual performance statistics of the 409 NBA players listed in the end of the 2001–2002 season rosters of the 29 NBA franchises were taken from the official website of the NBA. Performance statistics are utilized for games played during the regular season, excluding the preseason and playoffs.

Table 1 presents OLS estimation of earnings of NBA players in the 2001–2002 season. The coefficient on exp in column 1 reveals that each year of experience significantly increases earnings of NBA players by 36.8 percent. Findings of large returns to experience are expected given that the individual player salary cap is based on years of experience in the league (Staudohar, 1999 ). An increase of 1 assist per game significantly increases earnings by 7.4 percent. Additionally, an increase in average block shots of 1 per game results in significant earnings increase of 16.3 percent whereas, an increase in the average number of points scored per game by 1 point significantly increases salaries of NBA players by 4.4 percent. Earnings of blacks differ insignificantly from their white counterparts. These findings are consistent with recent evidence of no employer earnings discrimination of NBA players (Kahn, 2000). The findings for the coefficient on big-men reveal the NBA premium for centers and forwards from their size that is not a result of observed performance statistics. Big men significantly earn 18 percent more than guards, after accounting for other performance attributes.

Tables 2 and 3 present the results of the quantile regressions for guards and big men, respectively. The coefficient on exp is large and significant for guards at each skill level; however, the coefficients are much larger for players at intermediate skill levels relative to low-skill players and superstars at the tails of the distribution. Indeed, the returns to each year of NBA experience is 52, 51, and 53 percent for guards at the 25 th, 50 th, and 75 th quantiles, respectively — but, only 34 percent for low-skill players at the 15 th quantile and superstars at the 90 th quantile. This finding indicates greater returns to human capital accumulation for intermediate level, role players (occurring in the middle of the earnings distribution) relative to low-skill players and superstars. This could reflect team owners’ willingness to reward guards who are role players for doing the subtle things necessary to win that are not accounted for in performance statistics — for instance, diving on the floor to save a ball from going out of bounds.

Low-skill guards (15 th quantile) are unique in being significantly rewarded for steals (a 1 percent increase in steals per game increases their earnings by 62 percent) and discounted for rebounds (a 1 percent increase in rebounds per game decreases earnings by 13 percent). The negative returns to rebounding for low-skill guards may appear odd at first glance; however, in the transition from offense to defense, one of the primary responsibilities of guards is to be the first players back on defense. Thus, guards prevent the other team from scoring fast-break points. If guards remain on their offensive end of the court for rebounds, the opposing team is likely to score easy fast-break points. Moreover, low-skill guards’ decreased returns to rebounding may indirectly capture the negative effects for rebounding and not getting back on defense when the opposing team fast-breaks. Furthermore, the negative effect diminishes as skill level increases — possibly indicating that higher skilled players are more athletic or have superior decision-making abilities, which allows them to discern the opportune times to remain on the offensive end for rebounds versus getting back on defense. Scoring points is significantly rewarding for guards at all levels of the earnings distribution.

Table 3 presents the regression results for the quantile earnings estimates for big men. Similar to guards, the returns to each season of NBA experience for big men is greater for players at intermediate skill levels relative to low-skill players and superstars at the tails of the distribution. Additionally, blocking shots is a very lucrative attribute for intermediate and high-skill big men, but not for their lower skill counterparts—medium- and high-skill big men receive a significant premium (between 15.6 and 25.7 percent for a 1 percent increase in blocks per game) but the returns for low-skill big men are smaller in magnitude and insignificant. In contrast, low-skill big men receive the highest returns to rebounding (12.6 percent) — with the returns to rebounding declining in magnitude and significance as skill level increases (a significant increase of 10.2 and 7.4 percent increase at the 25 th and 50 th quantiles, respectively, and insignificantly increasing at higher skill levels). Low-skill big men (in the 15 th quantile) are unique as the only big men who are significantly rewarded for assists or penalized for increased average steals. A 1 percent increase in average assists increases their earnings by 16.6 percent. However, a 1 percent increase in average steals reduces their earnings by 10.4 percent. A possible explanation for low-skill big men’s salary discount for steals is that in a half-court defense, big men are often positioned near the basket — constituting the last line of defense in preventing easy lay-ups for the opposing team. If a big man goes for a steal (rather than staying in between the basket and the offensive player) the big man may be unsuccessful in stealing the ball — leaving the offensive player near the basket for an uncontested lay-up. Moreover, the low-skill, big-men discount for steals may reflect the negative effects of going for steals, but failing to steal the ball. Also, the negative effects diminish as skill level increases, possibly indicating that higher skilled big men are more athletic or have better decision-making abilities which allow them to discern the opportune times to go for steals versus remaining in defensive position (between the offensive player and the basket).

IV. Conclusion

We utilize quantile regressions to examine salaries of NBA players — allowing for a different distribution of earnings for big men and guards. Our findings provide further insights into the salary structure of NBA players — as players with a range of skills and playing different positions receive significantly different salary rewards and penalties for performance attributes.

REFERENCES

  1. Dupree, David. “2001–02 NBA Salaries” USA Today, (November, 15, 2001).
  2. Hamilton, Barton H. “Racial Discrimination and Professional Basketball Salaries in the 1990s.” Applied Economics 29 (March 1997): 287–96.
  3. Kahn, Lawrence M. “The Sports Business as a Labor Market Laboratory.” Journal of Economic Perspectives 14 (Summer 2000): 75–94.
  4. Koenker, Roger and Gilbert Bassett. “Regression Quantiles.” Econometrica 46 (January 1978): 33-50.
  5. Nance, Roscoe. “10-Year Vets Bide Time on Market.” USA Today, (July 31, 2003).
  6. Staudohar, Paul. “Labor Relations in Basketball: The Lockout of 1998–99.” Monthly Labor Review 122 (April 1999): 3–9.

 Table 1

Salaries of NBA Players in 2001–2002 Season

Variables Coefficient t-statistic
Constant -1.282*** (-6.74)
Exp 0.313 *** (10.93)
Exp 2 -0.014** (-7.83)
Assists 0.071** (2.43)
Blocks 0.151 *** (3.63)
Steals 0.052 (0.94)
Rebounds 0.062 *** (2.68)
Pts/Game 0.043 *** (4.09 )
Free throw 0.244 (1.11)
Black -0.010 (-0.12)
Big-man Sample size 0.188*409 (1.88)
R ^ 2Adj- R^ 2 .602.593

Note: * (**, ***) denotes significance at the .10 (.05, .01) level.

 

Table 2

Salaries of Guards in the NBA in the 2001–2002 Season

Variable 15 th 25 th 50 th 75 th 90 th
Constant -1.698***(-5.25) -1.499***(-3.48) -1.334***(-3.80) -1.502***(-3.18) -1.032***(-2.99)
Exp .29409***(4.76) .4221***(6.51) .4157***(6.90) .4306***(4.87) .2933***(5.07)
Exp 2 -.0151***(-4.24) -.0220***(-5.98) -.0190***(-5.16) -0.0191***(-3.50) -.0117***(-3.75)
Assists .0442(0.99) .0196(0.36) .0409(0.92) .0539(0.81) .0433(0.90)
Blocks .1016(1.22) .1201(1.41) .1553**(2.20) .1894**(2.01) -.0310(-0.46)
Steals .4859**(2.31) .3570(1.54) -.0096(-0.04) .0132(0.04) .0972(0.44)
Rebounds -.1458*(-1.69) -.0530(-0.57) -.0267(-0.31) .0229(0.18) .0613(0.79)
Points/game .05452***(2.71) .0549***(2.60) .0745***(3.51) .0407**(2.17) .0468**(2.33)
Free throw .2081(0.71) -.0577(-0.13) .1919(0.47) .9472*(1.78) .3756(0.92)
Black -.1205(-0.61) -.1637(-0.63) -.1927(-0.93) -.0164(-0.06) .1667(0.78)

Note: t-statistics are in parenthesis, * (**, ***) denotes significance at the .10 (.05, .01) level.

Table 3

Salaries of Big Men in the NBA in the 2001–2002 Season

Variable 15 th 25 th 50 th 75 th 90 th
Constant -1.682***(-5.80) -1.756***(-6.60) -1.149***(-3.76) -.1874(-0.75) .4952*(1.79)
Exp .2360***(4.54) .2947***(6.01) .3255***(6.59) .3027***(6.87) .2440***(5.66)
Exp 2 -.0090***(-2.77) -.0133***(-4.36) -.01479(-4.61) -.0129***(-4.48) -.0089***(-3.45)
Assists .1534*(1.78) .1143(1.38) .0011(0.01) .0736(1.01) .0417(0.42)
Blocks .1221(1.30) .1161(1.38) .2289***(2.75) .1453**(2.03) .2267***(3.44)
Steals -.1094*(-1.83) -.0637(-1.01) .0456(1.28) .0447(1.48) .0137(0.42)
Rebounds .1186***(2.99) .0979**(2.51) .0720*(1.94) .0242(0.87) .0024(0.09)
Points/game .0453**(2.09) .0407*(1.83) .0490**(2.29) .0294*(1.86) .0281*(1.75)
Free throw .0093(0.02) .3001(0.79) .3276(0.85) -.0313(-0.10) .2718(0.75)
Black -.14579(-0.92) .0602(0.43) -.0425(-0.33) .1155(1.02) -.0967(-0.82)

Note: t-statistics are in parenthesis, * (**, ***) denotes significance at the .10 (.05, .01) level.

 

NOTES

See Koenker and Bassett (1978) for a review of this procedure.

During the 2001–2002 NBA season there were 29 teams. Since then, one team has changed locations, the Charlotte Hornets moved to New Orleans and, another, the Charlotte Bobcats, was added in the 2004–2005 season.

Data for this analysis were obtained from http://www.nba.com, last viewed April 30, 2004.

The marginal impact of a characteristic on the salaries of the group in question is found by taking the exponential of the estimated coefficient minus one and multiplying by 100.

2015-03-24T08:26:18-05:00March 4th, 2005|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on NBA Salaries: Role Players and Superstars

The Emergence of ‘Sport and Spirituality’ in popular culture

ABSTRACT

Sports and spirituality may be an oxymoron. What could be less spiritual than ‘big business’ sports? This paper serves to review the apparent growth in ‘spirituality’ as a concept within wider society and its relevance to the world of sport. It will examine how sport in modern society is arguably the new spirituality.

Introduction

Sports are clearly more important than ever to both the individual and society in economic, cultural and financial terms. Take for example, the growth of the Olympic Movement. Increases in broadcast revenue over the past two decades have provided the Olympic Movement and sport with an unprecedented financial base. From 1984 until 2008, the International Olympic Committee (IOC) has concluded broadcast agreements worth more than US$ 10 billion (IOC, July, 2004). In the United States alone, General Electric and the National Broadcasting Company (NBC) paid the IOC $3.5 billion for the broadcasting rights for all winter and summer Olympics between 2000 and 2008 (Phillips, 1999). The appeal of sport as a televisual spectacle is not in dispute (Lash and Urry, 1994). The mass appeal of sport is something that is clearly not lost upon the commercial organisations spending $2.4 million for a 30 second advertising slot on what is traditionally the highest rated programme of the year, the 2005 superbowl (Nader, 2005). Displays of what in traditional religious vernacular could be termed liturgy and ritual and mass idolatry are part of the fabric of the game and the fourteen day build-up.

This article will attempt to analyse the use of sports in the 21 st Century as a vehicle for spiritual upliftment in the place of contemporary religion.

The Collapse of Orthodox Religion

The dramatic growth in the popularity of sports is in sharp contrast to the near collapse of formal or orthodox religions in many countries (Robertson, 2004). Inglehart and Baker (2000) observe that “not only has weekly church attendance plunged, but Latin American countries are now sending missionaries to ‘save the souls’ of their former colonizers” (p.20)

Further testimony to the decline of ‘formal’ religion is provided by the UK experience. The results of the Social Trends Survey (2002) demonstrated that approximately 24% of the UK population attended a sports event as a spectator, while half of all adults aged 18 who belonged to a religion have never attended a religious service. Religion, particularly Christianity is in numerical decline throughout the Western world. William Docherty, a professor at the University of Minnesota, notes that children’s participation in religious activities has decreased by 40% from 1981 to 1997 (cited in Hofferth, 2001).

Spirituality’ through Sport?

Whilst dissatisfaction and alienation from traditional religious practices is increasing, there is a continuing, if not growing interest in the concept of “spirituality” (Lipsyte, 1973; Novak, 1993). The term “spirituality” is evidently an emotive and contentious one. “Some people, especially baby-boomers, reject the idea of religion, but believe they are ‘spiritual’” (Roberts, 2004, p.9). This perception may require networks to allow the individual to develop their own concept of spirituality. In sports spirituality is cultivated through allegiance or commitment to a team, either as a fan or as a spectator. Themes within sport may also typically include freedom and escape from normal life, discovery of meaning in life, commitment to a set of ethics and possibly a rediscovery of play in its purest sense.

People statistically may not want church (if evidence of declining attendance is accepted), but they do appear to question a purely materialistic view of life. They want to believe in something more, even if they do not know-or want to know – what that something is (Hamilton, 1995). The growth in the popularity of sports may be in part explained by society’s emphasis on “individualism” in the 21 st Century (Blake and John, 2003). Arguably, the more individualistic the society, the more intensely people may need some means of regaining a sense of group identity.

The research of psychologist Abraham Maslow (1968) may help to partially explain the way in which spectator sports act as a means of fulfilling individuals’ spiritual needs to belong. Maslow placed the “sense of belonging” halfway up his hierarchy of needs, with self-actualisation at the top. The need to belong is commonly regarded as a crucial part of an individual’s support of a sports team. However, only the athletes themselves reach the top and experience self-actualisation, spectators experience it vicariously. Theoretically, when people fail at discovering meaning in their lives they may use sports to fill this vacuum. Through sport individuals potentially find meaning in life.

Sport and Spirituality – harmful to the spirit?

Sport is clearly one of the most successful ways of taking up time in an activity which, from a Marxist perspective, may have no “utilitarian value” (Jakubowski, 1990, p.86). For many it may be a total irrelevance. Take the joke concerning golf ruining a beautiful walk in the countryside. Carroll (1998) argues that this view neglects the notion of “anima mundi” or soul. Sport for the ancient Greeks and Romans represented an avenue to find the connection to soul. The battle, whether it is on the golf course or in the boxing ring offers this opportunity to re-connect to the soul.

The enthusiasm to participate in sport, either vicariously as a spectator or directly as a participant may be intrinsic. Testimony to this manifests itself in a child’s playful actions (Trotsky, 1994). The desire and enthusiasm to engage in distraction and play may be intrinsic to the human psyche, but Trotsky argues that in order that “spiritual requirements may flourish it is necessary that physical requirements be fully satisfied”. (Trotsky,1994, p.28). As the Jesuit scholar Hugo Rahner has put it; “To play is to yield oneself to a kind of magic … to enter a world where different laws apply, to be relieved of all the weights that bear it down, to be free, kingly, unfettered and divine” (cited in Prebish,1993, p.211).

The above is potentially reinforced through sport with its inherent ideals of “fair play” and “codes of conduct” enshrined in the rules and regulations. This is disputed, however by George Orwell in his essay, “The Sporting Spirit” written in 1945 where he comments upon the nature of modern sport, concluding that it has nothing to do with fair play. “It is bound up with hatred, jealousy, boastfulness, disregard of all rules and sadistic pleasure in witnessing violence; in other words war minus the shooting” (Orwell,1945, pp.62-3).

Does the pursuit of sport harm the spirit? The prevalence of cheating and drug abuse does seem to challenge this aspiration of a connection to a “higher calling”. Does spirit become severed in elite sport? This question raises the issue of “sportsmanship” or the practice of ethical behaviour in modern sports. Sportsmanship is characterised by notions of civility and is “a matter of being good (character) and doing right (action) in sports” (Grough, 1997, p.21). Fair play and sportsmanship are challenged by what many regard as increased emphasis on a philosophy of “win at all costs” (Pilz, 1995). The impact of the coach is crucial in mediating the importance of sportsmanship and with it the notion of a games inherent spirituality. How individuals reconcile “the shifting definitions of sportsmanship with the objective of winning” (Buford May, 2001, p.387) is a complex task.

Conclusion

The intrinsic appeal of sport for many people is the uncertainty of outcome. Historically, however, this has never prevented mankind from attempting to tip the balance of uncertainty through various forms of cheating; indeed, the emphasis upon victory in sport defies and corrupts the ethics of fair play. If sport does indeed offer a vehicle with which to fill the spiritual void left by the demise of traditional forms of religion, it may do well to adopt the Buddhist philosophy which states that “Life is a journey”. When sports and spirituality are passengers, is the destination cynicism? Every journey requires an ending.

Bibliography

  1. Blake, J., John, A. (2003) The world according to Margaret Thatcher. Michael O’Mara Books.
  2. Buford May, R. A.(2001).The Sticky Situation of Sportsmanship: Contexts and Contradictions in Sportsmanship among High School Basketball Players. Journal of Sport and Social Issues, Vol 25, No.4, pp.372-389. Sage Publications
  3. Carroll, J. (1998) Ego and Soul: the Modern West in Search of Meaning. Harper Collins
  4. Grough, R. (1997) Character is everything: Promoting excellence in sports. New York: Harcourt Brace College.
  5. Hamilton, M. (1995) The Sociology of Religion. Routledge.
  6. Hargreaves, J. (1982) Sport, Power and Ideology. Routledge Kegan and Paul.
  7. Hofferth, S.L “Changes in American Children’s Time, 1981-1997.” University of Michigan’s Institute for Social Research, Center Survey, January, 1999. National probability samples of American families with children ages 3-12, using time diary data from 1981 and 1997. Findings on how time use is associated with children’s well-being are reported in Hofferth, S. L. (2001). How American Children Spend Their Time. Journal of Marriage and the Family, 63, 295-308.
  8. Inglehart, R. F., Baker, W.E. (2000) Modernization, Cultural Change, and the Persistence of Traditional Values. American Sociological Review Volume 65, Number 1. February 2000. pp. 19-52
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  17. Phillips, R. (1999) Big Business Demands a Corporate Olympics. Retrieved from http://www.wsws.org/articles/1999/mar1999/olym-m16.shtml
  18. Pilz, G.A. (1995) Performance sport: Education in fair play? International Review for the Sociology of Sport, 30,391-418
  19. Prebish, C. S. (1993) Religion and Sport: The Meeting of Sacred and Profane. Greenwood Press
  20. Roberts, K. A. (2004) Religion in Sociological Perspective. Thomson
  21. Robertson, T. (2004) Religion Losing To Youth Sports On Weekends. Boston Globe. February 16th 2004
  22. Social Trends Survey. No.32.(2002) The Stationary Office Editors: Jil Matheson Penny Babb London: The Stationery Office (www.statistics.gov.uk). Retrieved from http://www.statistics.gov.uk/downloads/ theme_social/Social_Trends32/Social_Trends32.pdf –
  23. Trotsky, L. (1994) Problems of Everyday Life. Pathfinder Press.
2020-07-06T10:24:30-05:00March 3rd, 2005|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on The Emergence of ‘Sport and Spirituality’ in popular culture

The Role of Antitrust Laws in the Professional Sports Industry From a Financial Perspective

Abstract

This research paper examines how antitrust laws have played a role in shaping the financial operations of the professional sports industry of today. Different aspects of economical, historical, governmental, cultural and financial perspectives have been identified as vital sources in the professional sports industry of the past, present and future. This paper will also provide case studies and other field research to reveal how the influence of economical, historical, governmental, cultural and financial perspectives stem from antitrust laws that have shaped the world of professional sports today in the NFL for football, NBA for basketball, NHL for hockey, and MLB for baseball.

Chapter I: Introduction

The professional sports industry has evolved into an intriguing social phenomenon. As a means to make a living and to relax the mind and body, the sports industry is both a recreational and economical entity that enjoys “certain privileges and immunities.” Just as the Supreme Court’s interpretation of the Fourteenth Amendment have nationalized rights and liberties, the professional sports industry now appeals to and employs individuals from very diverse background. As time has progressed, there has been an increase in women and minorities in both the player and managerial ranks. As a result, the professional sports industry finds refuge under public policies. As an entity of private ownership in this capitalistic American society, the professional sports industry has become a thriving market.

Purpose of the Paper

The purpose of this research paper is to examine how antitrust laws have played a role in shaping the financial operations of the professional sports industry of today.

Research Questions

In this paper, many issues arise about this televised giant called the “professional sports industry” (PSI). These issues manifest both simple and complex questions. A set of questions emerges from economical, historical, governmental, cultural and financial perspectives that are listed as follows: What actions and reactions have most often occurred in the PSI and our society in response to governmental regulations? What is the projected role of government in the PSI? Does the PSI operate under the same governmental regulations, as do other private industries? Which branch of government has been most effective in regulating the PSI? Are there applicable statutes or judicial proceedings affecting the PSI? Has the principle of judicial review been able to effectively control the PSI? Do antitrust laws have a negative or positive impact on the financial aspects of the professional sports industry? What is the economical impact of the professional sports industry? With these questions in mind, it is essential that definitions of various terms be included to provide more background information in this area of research.

Definition of Terms

Firstly, what is antitrust law? Simply stated, according to Corley and Reed (1996), antitrust law is used to describe all laws that intend to promote and regulate competition and make our competitive economic system work.

Secondly, what is the economic giant known as the professional sports industry? According to the Adams and Brock (1997), professional sports are a textbook example of a bilateral cartel made up of club owners and unionized players engaged in intrastate and interstate commerce. The club owners exercise monopoly power in the product market and monopsony power in the input market, whereas, the players try to countervail that monopsony power. For example, according to Wikipedia, i n economics, a monopsony is a market with only one buyer in the market, often an input market (Wikipedia, 2004). At the same time, this is analogous to the case of a monopoly in which there is only one seller in a market. These cartels confront each other in a love/hate, cooperation/conflict relationship with neither being strong enough to exercise total dominance over the other (Adams & Brock, 1997).

It is from these two definitions of antitrust law and the professional sports industry that the significance of this study, literary review and summary/conclusions will arise.

Significance of the Study

Answers to these questions and terms should provide relevant and significant information pertaining to the professional sports industry as a whole. By identifying governmental perspectives of the PSI, the importance of the antitrust law will be revealed through a financial perspective. This paper also contains case studies of actions and reactions in the PSI that will further support the significant role of the antitrust law in regards to the PSI from a financial perspective. This paper further pinpoints how the professional sport of baseball best exemplifies the implementation, application, and interpretation of the antitrust exemption issues.

Chapter II: Review of Literature

The professional sports industry is a very unique entity. As an entity, it controls both activities and attitudes, solicits actions and reactions, and demands the immediate attention of fans, arbitrators, mediators, lawyers, judges, players, television networks, and management. However, as an entity, it is regulated as a business activity with and without exemptions from the federal government. To limit the framework of both the professional sports industry and antitrust activities, the underlying meanings of past, present and future perspectives will be discussed.

Past Perspective: The Historical Role of Antitrust Laws

in the Professional Sports Industry

Historically, antitrust law has played a role in developing regulations, controls, and protections in the professional sports industry of today. Laws that include such major statutes as the Sherman Act of 1890, the Clayton Act of 1914, the Federal Trade Commission Act of 1914, the Norris-LaGuardia Act of 1932, the National Labor Relations Act of 1935, and other antitrust and labor relations acts (Corley & Reed, 1996). Court decisions and/or interpretations include such parties as: Federal Baseball Club of Baltimore, Inc. v. National League of Professional Baseball Clubs, 259 U.S. 200 (1922); Flood v. Kuhn, 407 U.S. 258, (1972); Haywood v. NBA, 401 U.S. 1204 (1971); Brown v. Pro Football, Inc., 116 S.Ct. 2116 (1996) and Wood v. NBA, 809 F.2d 954 (2d Cir. 1987). Also, there is a history of concepts relating to protections and guarantees to all parties involved in the professional sports industry. Case studies show that in baseball, the “reserve clause” was the owner’s primary weapon for eliminating free competition in the market for players. Once a team obtained contractual rights to a player, it enjoyed exclusive rights to his services. Unless those rights were waived, traded, sold, or otherwise assigned to another team, the player was literally owned by the team with which he signed the original contract (Adams & Brock, 1997). Also, certain sports in the professional sports industry are classified as with antitrust labor exemption, whenever the players can file complaints with the government alleging unfair labor practices or without antitrust labor exemption, whenever the players cannot file complaints with the government alleging unfair labor practices (McGraw, 1998).

On the other hand, case studies show that in football, basketball, and hockey, the emphasis has been on the relief granted through the application of antitrust laws (McCormick, 1989). A final aspect focuses on what is the historical, legal, economic, and future role of antitrust laws in the professional sports industry of Major League Baseball (MLB)? In evaluating this aspect, each area seems to address in its’ own way the evolution of the antitrust policy in their particular industry. For example, according to U.S. News & World Report, all four of the sports leagues enjoy some measure of antitrust exemption, which allows teams to pool their broadcasting-rights fees, and in the case of baseball, prevents the players from filing complaints with the government alleging unfair labor practices (McGraw, 1998).

Throughout the history of sports, several events have occurred leading to how antitrust laws are now applied along with their financial impact. The following timeline from “Major League Baseball’s Labor Turmoil: The Failure of the Counter-Revolution” by Jeffery S. Moorad (1997) is explained in the Villanova Sports and Entertainment Law Journal. It provides a running account of actions that have been taken by leagues and set the stage for legal court challenges: It also provides a historical time line leading up the formation of the American Association and present day (MLB) baseball.

  • 1882 The alternative league, American Association, to the National League began play. The American Association abolished the reserve clause, sold tickets for half the price of those sold by National League clubs and allowed beer and whiskey in the stands on Sundays.
  • 1883 The American Association entered into a pact with the National League in and accepted the policies of the National League. Two additional leagues, the Union Association and Players League, soon followed, but both failed within one season and the National League absorbed all three leagues.
  • 1892 The only alternative league to gain foothold during this period was the American League, which emerged as the Western League.
  • 1900 By the turn of the century, the American League had wooed 100 players from the National League, and was drawing 500,000 more fans per season. Once again, club owners found competition not to their liking.
  • 1903 The two leagues came to an agreement under which the National League accepted the American League as an equal, and together the two leagues formed the bicameral system that characterizes Major League Baseball today.
  • 1913 The Federal League was established–the last alternative league of the pre-World War II era. Next to the American League, the Federal League was the most successful of the alternative leagues, lasting for three seasons, until a dissolution agreement between the National League and Federal League owners. As part of this agreement, the National League absorbed some of the Federal League’s team, while others were simply bought out.
  • 1922 The first court challenge of antitrust laws in the professional sports industry of baseball occurred.

These events helped to establish present day antitrust law exemption and how we view Major League Baseball (MLB).

Present Perspective: Legal Case Analysis of Antitrust Law and the Professional Sports Industry with the Antitrust Exemption from a Present Day Angle

Legally, in our present day and time, antitrust legislation and court decisions with labor exemption show variations in features of provisions, applications, and interpretations of significance. From the inception of the professional sport industry to the present, actions involving antitrust have helped shape this sport. For example, cases in the past have focused on issues of antitrust and labor exemptions to professional players. According to the Antitrust Bulletin, the issue of whether sports leagues are protected from antitrust attack by the labor exemption has arisen primarily in cases challenging league rules or devices designed to restrict the unfettered movement of veteran free agent players from one team to another when their contracts with the former team expired (Roberts, 1997).

Example of Antitrust Laws and the Professional Sports Industry with Antitrust Exemption: Major League Baseball (MLB)

Professional baseball is the most representative of professional sports with labor exemptions in many ways.

Firstly, there is the role of the “reserve clause. According to Leshanki (2003), the reserve clause essentially stated that the teams had the right to renew a player’s contract following each season. In this way all rights to a player’s contract belonged to the team and a player could never escape from that club or seek competing bids from other teams. Players were not even able to invalidate a contract by sitting out for a year and then returning to the game. In essence, the club could buy, sell or trade a player via his contract as if the player were livestock. Even though surveys suggested that the players’ initial reaction to the reserve lists was positive, it soon became clear that reservation was not in the players’ best interest.

Secondly, according to Villanova Sports and Entertainment Law Journal, reservation brought an end to the free market for their services, along with an end to their salary increases because of two reasons: (a) reactions to the reserve clause and (b) the control it provided to owners. Moorad (1997) discussed how players and other individuals established alternative leagues, which forced the development of competition for players’ services and how players’ associations were formed (Moorad, 1997) such as the Major League Baseball Players’ Association to represent the players in union negotiations with owners.

Additional court challenges show many features of the economical, recreational, and governmental institutions. They are explicit in issues, parties involved, decisions, and the extensiveness of governmental regulations, controls, and protections. In the Federal Baseball Club of Baltimore, Inc. v. National League of Professional Baseball Clubs, 259 U.S. 200 (1922) case, the Federal Baseball Club made two arguments against the defendants. These arguments were as follows: (1) that several defendants, including the American and the National League of Professional Baseball Clubs, monopolized the market for baseball players in violation of section 2 of the Sherman Act and (2) that the defendants were monopolizing the market because once a team was placed in the American League or the National League, the reserve clause precluded players from “jumping” to the upstart rival Federal Baseball League.

The Supreme Court’s unanimous opinion, written by Justice Holmes, held that although baseball players and their equipment were physically moved across state lines, putting on “baseball exhibitions” was “purely a state affair” that only had an incidental effect on interstate commerce and thus fell outside of the Sherman Act’s jurisdiction. Although the Court recognized that baseball was in fact a business, it also held that “personal effort, not related to production, is not the subject of commerce (Ross & Dimitroff, 1997).

Another case in 1953 revisited the exemption via the reserve clause in Toolson v. New York Yankees, Inc., 346 U.S. 356 (1953). The plaintiffs alleged antitrust violations between organized baseball and the Mexican League because they had entered into various agreements binding each to respect the other’s reserve clause, thereby eliminating each league’s rights to contract with certain baseball players. In a per curiam opinion, the Court reaffirmed baseball’s exemption on the ground that it should only be removed or limited by legislation and since Congress had repeatedly declined to do so, it shouldn’t be changed. As a result of this happening, this meant that antitrust and antitrust exemption fell into the hands of Congressional legislation. In a nutshell, the majority’s opinion effectively held that organized baseball in the United States could enter into a worldwide conspiracy in restraint of trade with baseball leagues in other countries and yet the conspiracy would be exempt from U.S. antitrust laws. Therefore, the Court’s decision had more severe potential repercussions than simply affirming Federal Baseball (1922). Also, it effectively expanded baseball’s antitrust exemption to reach global conspiracies (Ross & Dimitroff, 1997) through its impact on the overall sports world. Furthermore, according to Justices Burton and Reed in Toolson v. New York Yankees, Inc., 346 U.S. 356 (1953), the defendants (Yankees) were now engaged in interstate trade or commerce as those terms are used in the Constitution of the United States and the Sherman Act (Ross & Dimitroff, 1997).

In 1972, the court again considered the exemption issue in Flood v. Kuhn, 407 U.S. 258, (1972). In this case, the St. Louis Cardinals traded outfielder Curt Flood to the Philadelphia Phillies at the conclusion of the 1969 season. Unhappy about the trade, Flood sent a letter to Commissioner Bowie Kuhn stating his displeasure and asked the commissioner to declare him a free agent for the upcoming season so he could consider offers from teams other than the Phillies. Kuhn refused, and informed Flood that his only choices were to play for Philadelphia or not to play at all. Flood decided to sit out the 1970 season and filed suit against the commissioner, the teams, and the owners, thereby taking on the reserve clause’s 50-year exemption from the antitrust laws. This attempt by Curt Flood thus left the antitrust exemption in the hands of the Supreme Court for another challenge to see if legislation by Congress was the determining factor.

As a result, the Supreme Court recognized that baseball’s long-standing exemption was an aberration since no other professional sport had been similarly favored, at least not without special legislation from Congress. Further, the Court reversed the underpinning of Federal Baseball (1922) by holding that professional baseball is engaged in interstate commerce.

But, in a close decision, the majority again explained that Congress had considered the issue and tacitly approved the exemption by refusing to overturn it. In addition, the Court held that baseball and its reserve system are also exempt from state antitrust laws. The exemption was therefore not only left intact, it was again extended (Ross & Dimitroff, 1997).

Despite the seeming lack of rhyme or reason to its holding in Federal Baseball (1922), the Court has continued to staunchly clutch to its ruling in subsequent decisions (Ross & Dimitroff, 1997). This is true because baseball’s antitrust exemption has proven to be remarkably resistant to challenge despite the suspect reasoning behind its creation (Moorad, 1997). On the other hand, a district court opinion in 1993, took at least a chink out of the exemption’s protective armor. The federal district court in Pennsylvania held that the exemption applies only to the reserve clause in Piazza v. Major League Baseball, 831 F. Supp. 420, 422 (E.D. Pa. 1993), (Ross & Dimitroff, 1997).

In this case, several investors (including Vincent Piazza, father of New York Mets’ all-star catcher Mike Piazza) sued Major League Baseball when it refused to approve the sale and relocation of the Giants from San Francisco to Tampa Bay. Major League Baseball filed a motion to dismiss, citing the antitrust exemption. The federal district court denied the motion on the ground that the exemption is restricted to the reserve clause, even though Piazza analyzed the exemption in terms of stare decisis. The court also pointed out that the Supreme Court itself had acknowledged that the trilogy between the cases of Federal Baseball, Toolson, and Ford was limited to the reserve system because professional baseball’s reserve system is within the reach of the antitrust laws” (Ross & Dimitroff, 1997) and did not apply to teams’ attempts to move from city to city (Moorad, 1997). Basically, the holding in Piazza signaled that the current restrictions on the sale or transfer of major league baseball teams were not included because this action may not be insulated from the Sherman Act by baseball’s antitrust exemption (Ross & Dimitroff, 1997).

Other issues that have been recent challenges are between owners and players. According to Moorad (1997), when the owners tried to gain back some of the ground they had lost in the most recent set of bargaining talks a decade ago, the players refused to budge. The standoff ultimately led to a season long strike in 1994-1995. Although the World Series had survived two world wars and even natural disasters, it could not survive this labor dispute and was not played for the first time in 90 years. Moorad (1997) estimates that the hard out of pocket losses to both sides as a result of the 1994-95 strike were one billion dollars. The aftershocks of the unseemly and distressing strike were still being felt in 1997; with attendance and TV ratings significantly lower than pre-strike figures. Fans begin to realize that they could live without baseball and found other ways of spending their time. More importantly, fan sympathy, which had traditionally been with the players, turned into fan annoyance at both the owners and the players (Palm, 1997). One additional argument that could have shed light during this period is the belief held by Isidore: (a) even if the team’s payroll increases significantly, market forces limit the amount owners can charge fans (Isidore 2002, April 5) and the proliferation of variable pricing is further evidence that player salaries do not drive ticket prices (Isidore 2002, December 27). With this additional note, it can be seen why some stability has returned to baseball.

In the last few years, this stability has returned because the owners and players have reached a new collective bargaining agreement. Thanks to the strength of the union, the agreement allows the players to retain the mobility that they had. Secondly, it creates the notion that the owners and players are in a joint venture, as opposed to the players being mere employees. Thirdly, from an economical standpoint, the agreement also begins to address the great disparity of financial benefits and burdens between the major market franchises and the smaller market franchises with modified profit sharing among clubs and a luxury tax imposed on clubs whose salaries exceed certain levels. Furthermore, the agreement contains important exceptions to a full profit sharing approach. However, there is a long way to go before the gap between the big and smaller markets are closed (Palm, 1997) even though the professional baseball industry is enjoying a period of relative tranquility (McCormick, 1997). For example, the demand for baseball and football increased between 1996 and 2002 as compared to the overall demand for hockey and basketball (Rishe & Mondello, 2004). This demand, whether increased or stagnant, led to the following economic values in 2001 as described by Howard and Crompton (2004) for the four major leagues:

Economic Value of the Major Leagues

MLB *Gross Revenue: $2.79 Billion *Net Worth: $6.55 Billion

NHL *Gross Revenue $1.82 Billion *Net Worth: $3.75 Billion

NFL *Gross Revenue: $3.51 Billion *Net Worth: $12.80 Billion

NBA *Gross Revenue: $2.1 Billion *Net Worth: $6.01 Billion

Future Perspective: An Outlook of Antitrust Law in the

Professional Sports Industry Beyond 2004

What does the future hold for the role of government in business regulations, controls, protections, and exemptions in the professional sports industry and their reactions? Based on this research paper, and according to Palm (1997), the future for professional sports is uncertain. Although the intersection between labor in the professional sports industry, antitrust laws and finance is clearer than it was, recent decisions in each of the sports leagues may result in a “decertify today–recertify tomorrow” mentality which may make professional sports even more unstable. For example, if players unionize and engage in collective bargaining, then they receive the benefits arising from the labor laws and collective bargaining, but lose virtually all of the protection that the antitrust laws would afford. In such cases, the labor laws primarily govern the relationship between the players and the owners, and the antitrust laws will be largely applicable due to the nonstatutory labor exemption. This action of decertification is primarily focused on players keeping or breaking up their unions. On the other hand, if the players choose to decertify their unions, then they obtain the full protection of the antitrust laws, but will enjoy the benefits of the labor laws and collective bargaining (McCormick, 1997). Ultimately, the parties have to come to grips with the issue of whether the financial pie will be distributed more equitably among the players and owners. The real dispute may become whether it should be more of a partnership model or remain an employment model (Palm, 1997). Regardless of what model the two parties choose, the value of professional sports franchises has been appreciating at double-digit rates annually for the past 30 years (Howard & Crompton, 2004) and should continue to grow in the future.

Another projection, according to U.S. News & World Report, is that some officials consider the practices of the leagues and the teams to be monopolistic. Some economists propose breaking sports leagues into separate businesses, much like AT&T was broken into Baby Bells. Others propose government regulation, such as a federal sports commission that regulates ticket prices, team relocation, salaries and the like because it has gotten to the point where huge amounts of tax money are aiding and abetting the behavior of an industry that is gouging its consumers (McGraw, 1998).

Even others, such as Howard and Crompton (2004), predict that part of future expansion in sports is likely to take the form of increased globalization. Women’s sports are rapidly emerging as a component of the professional sports mosaic in North America, and there has been growth in niche sports, which have a relatively small but avid following. These authors found that this growth has been aided by the multitude of cable television channels that are in constant need of new programming to fill their 24-hour schedules.

Chapter III: Summary and Conclusions

Conclusively stated, the writer found that the emergence of the professional sports industry has become an entity with which public policies have significantly affected the sports arena. Specifically, it was found that there are several features and trends that are observable about the role of antitrust laws in the professional sports industry from a financial perspective.

Secondly, the writer found that governmental controls, regulations, and protections make up an array of historical, legal and economic factors involving owners, players, and fans.

Thirdly, according to the Economist, the historical role of antitrust laws in the professional sports industry shows that this law has affected the industry through antitrust exemption granted in baseball, and not granted in football, basketball, and hockey (Andrews, 1998) and the writer agrees with this finding.

Fourthly, findings from the Antitrust Bulletin show that if the structural reorganization of professional sports is the goal of the public or government, antitrust offers the requisite weapons for achieving it. For example, in professional sports, where a cartel of club owners exercises a monopoly power in the product market, and where powerful trade unions dominate the relevant labor markets, there is an almost irresistible tendency toward tacit vertical collusion (Adams & Brock, 1997). It is the writer’s view that this exercise of power will continue as each major league sport continues to become more commercialized through the websites of: www.nfl.com; www.nba.com; www.mlb.com; and www.nhl.com.

Finally, the writer believes that antitrust laws will continue to play a very important role because as history shows us, the professional sports industry has had many landmark cases that have helped to shape the industry of today from a financial and legal standpoint. Therefore, antitrust laws will affect the professional sports industry of tomorrow because of the principle of judicial review and profit-sharing. Furthermore, the author believes that the world of reality sports, including fantasy league sports participation, by billions of fans, will contribute to the growth of this “intriguing social phenomenon” and now “worldwide social phenomenon” known as the professional sports industry.

 

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2016-04-01T09:48:11-05:00March 2nd, 2005|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on The Role of Antitrust Laws in the Professional Sports Industry From a Financial Perspective
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