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Appendix II: Analysis of Factors Associated<br />
with Aviati<strong>on</strong> Fuel <strong>Prices</strong><br />
Characteristics of FBOs. We included two variables in the model that<br />
relate to the services provided by FBOs at the airport<br />
• Large-Chain FBOs. Based <strong>on</strong> our audit work, we hypothesized that<br />
large-chain FBOs—those with operati<strong>on</strong>s at numerous airports—are<br />
more likely to focus their business model <strong>on</strong> meeting the demands of<br />
pilots looking <strong>for</strong> a suite of services and amenities. We thus expected<br />
that an airport served by a large-chain FBO may have higher average<br />
fuel prices due to the costs of providing such services. We used the<br />
data <strong>on</strong> aviati<strong>on</strong> fuel prices to determine the number of operati<strong>on</strong>s run<br />
by each FBO. For purposes of the model, we defined an FBO as a<br />
large-chain if the owner had at least 25 FBO operati<strong>on</strong>s across<br />
airports reported in our dataset.<br />
• Availability of self-service fuel at airport. We hypothesized that the<br />
price <strong>for</strong> full-service 100LL might be lower at an airport where a selfservice<br />
100LL is also offered <strong>for</strong> sale. 14 That is, the ready availability<br />
of a cheaper fueling opti<strong>on</strong> may influence the pricing of full-service<br />
100LL. There<strong>for</strong>e, we included a dummy variable in the 100LL pricing<br />
model if self-service 100LL was also available at the airport. In many<br />
cases, <strong>on</strong>ly <strong>on</strong>e FBO is available at an airport and provides both selfservice<br />
and full-service 100LL. The variable is derived from the data<br />
<strong>on</strong> aviati<strong>on</strong> fuel prices.<br />
Degree of competiti<strong>on</strong> am<strong>on</strong>g FBOs. Ec<strong>on</strong>omic theory suggests that<br />
market prices <strong>for</strong> a product will be lower when more firms are selling a<br />
product, all else equal. We examined “<strong>on</strong>-airport” competiti<strong>on</strong> am<strong>on</strong>g<br />
FBOs <strong>for</strong> both fuels, and <strong>for</strong> 100LL, we also developed a variable to<br />
account <strong>for</strong> competiti<strong>on</strong> at nearby airports.<br />
• The number of <strong>on</strong>-airport FBOs selling a given fuel. The most<br />
immediate and likely relevant competiti<strong>on</strong> am<strong>on</strong>g FBOs would occur<br />
at a given airport. To examine the correlati<strong>on</strong> between <strong>on</strong>-airport<br />
competiti<strong>on</strong> and aviati<strong>on</strong> fuel prices, we used two alternative<br />
measures: (1) the number of FBOs selling the fuel at each airport and<br />
(2) a dummy variable that equals 1 <strong>for</strong> airports where more than <strong>on</strong>e<br />
FBO sells the fuel and 0 otherwise. These competiti<strong>on</strong> measures were<br />
derived from the data <strong>on</strong> aviati<strong>on</strong> fuel prices.<br />
14 Self-service Jet A is not as widely available as self-service 100LL, particularly at<br />
towered airports. For this reas<strong>on</strong>, we thought the availability of self-service Jet A would be<br />
less important in explaining variati<strong>on</strong> in full-service Jet A prices, and we did not include it<br />
in our Jet A regressi<strong>on</strong> specificati<strong>on</strong>s.<br />
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