2019
DOI: 10.1007/s11573-019-00932-7
|View full text |Cite
|
Sign up to set email alerts
|

The impact of English Premier League broadcasts on Danish spectator demand: a small league perspective

Abstract: The effect of live transmissions of football matches on spectator demand in European football has been extensively studied over the years, although with little focus on the smaller leagues. By deploying robust panel data regression models on Danish first tier (Superligaen) data from 2010/11-2015/16, this paper contribute to filling this gap. We find that matches clashing with English Premier League (EPL) broadcasts do not suffer in attendance and that weather is an important driver of demand.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(14 citation statements)
references
References 31 publications
1
12
1
Order By: Relevance
“…Although most authors centered their manuscripts around sporting event characteristics, some authors have emphasized the potential role of economic factors, the quality of viewing, and also emerging consumer preferences in explaining the variance in stadium attendance demand. As such, there already exists a significant body of literature on the question of whether television broadcasts serve as a substitute for stadium attendance (e.g., S. Allan, 2004;Baimbridge et al, 1996;Barajas et al, 2019;Kringstad et al, 2018;Nielsen et al, 2019), whether promotions such as bobblehead giveaways, fireworks, and even marching bands, are effective in increasing stadium attendance demand (e.g., Boyd & Krehbiel, 2003;Kappe et al, 2014;McDonald & Rascher, 2000;Natke & Thomas, 2019;, and whether consumer preferences alter in the aftermath of exogenous shocks Figure 4. Dominant themes in stadium attendance demand research.…”
Section: Dominant and Emerging Manuscript Themes: Outcome Uncertaintymentioning
confidence: 99%
“…Although most authors centered their manuscripts around sporting event characteristics, some authors have emphasized the potential role of economic factors, the quality of viewing, and also emerging consumer preferences in explaining the variance in stadium attendance demand. As such, there already exists a significant body of literature on the question of whether television broadcasts serve as a substitute for stadium attendance (e.g., S. Allan, 2004;Baimbridge et al, 1996;Barajas et al, 2019;Kringstad et al, 2018;Nielsen et al, 2019), whether promotions such as bobblehead giveaways, fireworks, and even marching bands, are effective in increasing stadium attendance demand (e.g., Boyd & Krehbiel, 2003;Kappe et al, 2014;McDonald & Rascher, 2000;Natke & Thomas, 2019;, and whether consumer preferences alter in the aftermath of exogenous shocks Figure 4. Dominant themes in stadium attendance demand research.…”
Section: Dominant and Emerging Manuscript Themes: Outcome Uncertaintymentioning
confidence: 99%
“…In addition, Wallrafen et al (2019) found significant substitution effects between top and lower division football games by considering both spatial proximity and temporal overlaps. Finally, Nielsen et al (2019) looked at the impact of English Premier League (EPL) broadcasts on Danish first-division football attendance and introduced an interaction between televised games and weather conditions. They found that the negative effect of adverse weather conditions on attendance demand is amplified when EPL games are broadcast concurrently.…”
Section: Conceptual Framework and Related Literaturementioning
confidence: 99%
“…e experiment was carried out three times. is method's experimental methods, reference [4] method and reference [5] method, and the experiment results were summarized and analyzed. E-PRIME 2.0 is the software used to collect the data of tennis players' sports behavior.…”
Section: Experimental Analysismentioning
confidence: 99%
“…Based on the statistics and analysis, SPSS 22.0 software results from tennis players' behavior data analysis are described in Table 1. Table 2 summarizes the tennis players' resolution and reaction time to target missing points under the feature optimization of this method, reference [4] method, and reference [5] method. e data in Table 1 can be analyzed to know the detection effect of three methods on the target loss point of tennis players.…”
Section: Experimental Analysismentioning
confidence: 99%
See 1 more Smart Citation