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- All Subjects: Economy
- All Subjects: NBA
- Creators: Goegan, Brian
Description
This thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of the largest costs of the industry is water consumption. Golf courses in Arizona are currently finding ways to reduce water consumption through various methods, such as turf reduction and increasing the usage of drip irrigation. However, even at current levels of consumption, golf only consumes 1.9% of water in Arizona, compared to the 69% consumed by agriculture. Of the water consumed by the golf industry, 26.3% is wastewater, otherwise known as effluent water. Since the population in Arizona is projected to grow significantly over the next decade, the amount of effluent water produced will also increase. Due to this, we recommend that the golf industry move towards using as much effluent water as possible to conserve clean water sources. Additionally, we examine land allocation and agricultural tradeoffs to the state. Most golf courses are built in urban areas that would not be suitable for agriculture. The same land could be used to build a public park, but this would not provide as many economic benefits to the state. Many courses also act as floodplains which protect the communities surrounding them from flooding. These floodplains have proven to be crucial to protect from occasional flash floods by diverting the excess water away from homes. We also discuss golf's primary social cost in terms of its perception as being a sport played exclusively by privileged and wealthy people. This is proven to be false due to many non-profit organizations centered around the game, as well as municipal courses that provide affordable options for all citizens who want to play. We provide an in-depth analysis of the benefits that the industry provides to the state and its citizens primarily through business and tax revenue, employment, and property values. Including multiplier effects, the golf industry contributed 42,000 full- and part-time jobs, $3.9 billion in sales, $1.5 billion in labor income, and $2.1 billion value added in 2014. An estimated $72 million in state and local taxes were generated from golf facilities alone, without including taxes from indirectly impacted businesses. This tax revenue provides a great benefit to the public sector and increases Arizona's GDP. Also, much of this economic contribution is from the golf tourism industry, which brings new revenue into the state that would otherwise not exist. Golf courses also increase the surrounding real estate prices anywhere from 4.8% to 28%, providing a positive externality to community members in addition to scenic views. Finally, we provide a case study of the Waste Management Phoenix Open (WMO) to illustrate the impact of Arizona's single largest golf event each year. In 2017, the event brought an estimated $389 million into Arizona's economy in one week alone. Also, it regularly hosts massive crowds with a record-breaking 719,179 people attending the event in 2018. The WMO has also taken a "Zero Waste Challenge" to promote eco-friendly and sustainable practices by diverting all of the waste and materials produced by the tournament from landfills. The WMO has been dubbed both the "Greatest Show On Grass" and the "Greenest Show On Grass" due to the entertainment value provided as well as its effort to improve the environment.
ContributorsShershenovich, Andrew (Co-author) / Wilhelm, Spencer (Co-author) / Goegan, Brian (Thesis director) / Van Poucke, Rory (Committee member) / Department of Finance (Contributor) / W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The NBA Draft has become one of the most exciting and unique events in sports. Draft decisions are so monumental; so crucial to be right, so disastrous to be wrong. The purpose of this project is to build a model that would help teams to predict which types of players perform at a high level upon entering the league. By using regression analysis to predict the rookie year PER (performance efficiency rating) as a dependent variable, teams would have some idea of whether their rookies were underperforming, excelling, or performing at a level they could expect. The independent variables and their statistical significance could help answer a host of questions that front offices have about players: If a player came from a worse conference, can we expect them to have a harder time adjusting? Will their shorter wingspan have a negative effect on their play in the NBA? Do guards or forwards tend to have higher PERs upon entering the league? To answer these questions, I've gathered data on every first round NBA draft pick from 2001-2014 who played at least one season of Division 1 NCAA basketball. The data consist of anthropometric measurements (height, wingspan, standing reach, etc.), NBA draft combine results (agility drills, sprint times, etc.) and their college statistics per 40 minutes in their final season of college basketball (points, rebounds, assist-to-turnover ratio, etc.). I then separated the data into seven different sets: aggregate, backcourt, frontcourt, guard, wing, forward, and big. For each of these data sets, I built a predictive model for rookie PER. In doing so, I aimed to gain both a broad understanding of what factors lead to translation of college basketball play to professional play, and also a precise understanding of how those factors change for each distinct position.
ContributorsMurphy, Benjamin Joseph (Author) / Goegan, Brian (Thesis director) / Marburger, Daniel (Committee member) / Economics Program in CLAS (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The NBA operates under a unique system with both forms of the salary cap. The league has a team salary cap that sets a limit that teams can spend on their entire roster. The NBA has a soft cap and a luxury tax system, meaning if teams spend over a determined amount, they are taxed for the salaries in excess. The league also has a player salary cap. The 1999 NBA collective bargaining agreement first introduced the individual player salary cap in the league. This cap sets a limit on what the best players can earn, otherwise known as the maximum contract. In an economic system with a soft team cap, the introduction of the player salary cap has important implications. The stated outcome of such a salary cap is to improve competitive balance and better distribute star players throughout the league. This study evaluated the 1990-2015 regular seasons to measure the impact of the player salary cap on competitive balance, the distribution of team payrolls, and the dispersion of star players. In accordance with the Rottenberg's invariance hypothesis, the player salary cap has hurt the players and benefited the owners by redistributing income from one party to the other, without impacting the distribution of talent in the league. The rule change has not affected competitive balance, while team payrolls have converged and star players have become more dispersed throughout the league. These changes hurt the league overall, preventing the maximization of revenues. Despite this inefficiency, the chance of the league moving to eliminate the player salary cap is low.
ContributorsWelu, Brian Andrew (Author) / Marburger, Daniel (Thesis director) / Goegan, Brian (Committee member) / Sandra Day O'Connor College of Law (Contributor) / Department of Economics (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
A global trend towards cashlessness following the increase in technological advances in financial transactions lends way to a discussion of its various impacts on society. As part of this discussion, it is important to consider how this trend influences crime rates. The purpose of this project is to specifically investigate the relationship between a cashless society and the robbery rate. Using data collected from the World Bank’s Global Financial Inclusions Index and the United Nations Office of Drugs and Crime, we implemented a multilinear regression to observe this relationship across countries (n = 29). We aimed to do this by regressing the robbery rate on cashlessness and controlling for other related variables, such as gross domestic product and corruption. We found that as a country becomes more cashless, the robbery rate decreases (β = -677.8379, p = 0.071), thus providing an incentive for countries to join this global trend. We also conducted tests for heteroscedasticity and multicollinearity. Overall, our results indicate that a reduction in the amount of cash circulating within a country negatively impacts robbery rates.
ContributorsChoksi, Aashini S (Co-author) / Elliott, Keeley (Co-author) / Goegan, Brian (Thesis director) / McDaniel, Cara (Committee member) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05