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NBA Franchise Case Study

Decent Essays

When researching if a NBA franchise has a positive effect on the city it resides in from multiple sources economists mostly all agree there is little if not any impact. “If every sports team in Chicago were to suddenly disappear, the impact on the Chicago economy would be a fraction of 1 percent,” Leeds says. “A baseball team has about the same impact on a community as a midsize department store.” (Bergman, 2015). It would be Easy to believe that a NBA franchise in a city would have a great economic impact on a city. The jobs it creates, the money it brings in and overall excitement would leave the common person to believe that it would have a huge impact on the city. In reality the NBA is a cash cow and absorbs most of the revenue it generates …show more content…

Pinpointing the average teams revenue as well As the team’s most profitable team (New York Knicks) and least profitable team (Milwaulkee Bucks). As the chart states the average revenue of a franchise in the 97-98 season was $165 million now is $369 million in the 09-`10 season. This shows the overall growth of the league over the years. The league shows no indication of slowing down either. The popularity of the league keeps growing and growing with increases in attendance and viewers almost every year.

When researching how the salaries work for the top 15 picks for the NBA draft. We find the league has made significant rule changes and regulations over the years. The league has come far when it comes to salary cap rules and regulations, the administration of the league is trying to make it as equal a playing field as possible. This is why the draft lottery is instilled which no other Pro league does. Essentially it works like it sounds it’s a lottery. There are 16 teams that do not make the playoffs every year and they all become a part of the draft lottery. The team with the worse record has the highest chance to win the pick but it’s not guaranteed and as the records get better you have less and less percentage chance at the #1

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