How important are commercial revenues to today's airports?

This paper investigates the importance of commercial revenues to today's airports. It establishes that on average commercial revenues now account for about half of all revenues, although this varies considerably by region and individual airport, with retail being the most significant commercial source. It explores some of the key factors, such as consumer trends, security developments and political changes, which have led to a much more challenging time for commercial managers since the late-1990s. With growing pressure to control levels of aeronautical revenues, even greater focus on commercial revenues may be needed in the future and the paper concludes by discussing the implications of this.     

Real estate,factory outlets and bricks: A note on non-aeronautical activities at commercial airports

This note considers the degree of complementarity of non-aviation activities to airside activities at airports in relation to airport governance and regulation. A simple economic model of airport operations is employed to draw the distinction between complementary and non-complementary non-aviation activities by airports and the effect of these activities on aeronautical prices and competition.     

Managing New Zealand's airports in the face of commercial challenges

This paper explores commercial issues surrounding managing airports in New Zealand. Airport managers face pressures from changing airport–airline relationships, low cost airlines, proposed new airports and the growing importance of non-aeronautical revenues in achieving commercial goals. New Zealand's airports have moved from an operating environment within which all the principal airports were owned and managed by central government to one where airports are run as commercial entities under a variety of ownership structures. New Zealand has a high dependence on air transport and for its size, a very developed regional airport network.     

Airport–airline interaction: the impact of low-cost carriers on two European airports

This paper uses case studies to look at the impact of low-cost airlines on two European airports. Low-cost airlines continue to exert an influence in air transport markets and small airports face pressures to compete for their business. The low-cost model motivates airlines to negotiate contracts that significantly reduce aeronautical revenues, leaving airports to compensate by seeking commercial revenues from the increase in passengers. This has consequences for the airports, their passengers and the relationship between the airport and its existing operators. It is found that it is important for airport management to see both passengers and airlines as customers and to understand the resultant revenue streams, before negotiating preferential contracts with low-cost carriers.     

Privatization,corporatization, ownership forms and their effects on the performance of the world's major airports

This paper focuses on measuring and comparing productive efficiency and profitability among airports owned and operated by government departments, 100% government-owned corporations, independent airport authorities, mixed enterprises with government majority ownership and mixed enterprises with private majority ownership. The analysis is based on a cross-sectional, time-series dataset (2001–2003) for the major Asia-Pacific, European and North American airports. There is strong evidence that airports with government majority ownership and those owned by multi-level of government are significantly less efficient than airports with a private majority ownership; there is no statistically significant evidence to suggest that airports owned and operated by US government branches, independent airport authorities in North America, or airports elsewhere operated by 100% government corporations have lower operating efficiency than airports with a private majority ownership; airports with a private majority ownership achieve significantly higher operating profit margins than other airports; whereas airports with government majority ownership or multi-level government ownership have the lowest operating profit margin; and generally, airports with a private majority ownership derive a much higher proportion of their total revenue from non-aviation services than any other category of airports while offering significantly lower aeronautical charges than airports in other ownership categories excluding US airports. The results suggest that private–public–partnership with minority private sector participation and multi-level governments’ ownership should be avoided, supporting the majority private sector ownership and operation of airports.     

The sky is the limit? The determinants and constraints of European airports commercial revenues

This study investigates the determinants of commercial and retail airport revenues from real estate operations. Aviation revenues per passenger are mainly determined by the national income per capita in the area where the airport is located, the percentage of leisure travelers and the size of the airport. Main drivers of commercial revenues per passenger include the number of passengers passing through the airport, the ratio of commercial to total revenues, national income, the share of domestic and leisure travelers and the number of flights. These results are in line with previous findings of a negative influence of business travelers on commercial revenues per passenger. We also find that a large amount of retail space per passenger is generally associated with lower commercial revenues per square meter confirming decreasing marginal revenue effects. Real estate revenues per passenger are positively associated with national income per capita at airport location, share of intra-EU passengers and percent delayed flights.     

Brazilian airport economics from a geographical perspective

This paper discusses the revenue and expenditure functions of a sample of Brazil’s airports administered by Infraero, the Brazilian State enterprise responsible for administering the country’s major airports. It aims to identify what volume of movement at the airports associates with positive net earnings, i.e., the break-even point between revenue and expenditure, in view of aspects of airport movement and geographical factors. It examines airports serving regular airlines and with movement of up to 8 million passengers in 2010. Revenues and expenditures are explained by total passengers embarked and disembarked at each airport and by the potential of the airport’s ‘anchor city’. Multiple regression analysis achieved a high level of explanation for the dependent variables studied, i.e., revenues and expenditures. The model explains 81% and 91% of the variations in revenues and expenditures, respectively. The analysis shows that, considering the ranking of cities, Brazilian airports with less than 2 million passengers tend to operate at a financial loss, those with between 2 and 3 million passengers are at the transition stage between positive and negative earnings, while airports with more than 3 million passengers tend to make gains. However, the simulation modelling shows that the break-even point between expenditure and revenue functions can vary considerably when different ‘city potentials’ are considered. In this respect, the modelling offers investors a tool for analyzing passenger demand risk in the light of expectations for Brazilian cities’ potential.     

Evaluating financial performance of commercial service airports in the United States

Studies on airport performance have focused primarily on productivity and operational efficiency. There are very few studies on airports’ financial viability and strength, especially those in the United States. Most of the U.S. commercial service airports are government-owned entities and operated for the service of the community rather than for profit, but expected to be financially self-sufficient and raise capital funds mainly through the bond markets. However, past studies of the financial performance of U.S. airports have relied on traditional profitability measures and financial efficiency measures that are more appropriate for airports owned and operated by for-profit entities. Based on the literature for non-profit organizations and the practices of credit rating agencies and government oversight bodies, this paper adopts six pertinent financial performance metrics to measure and compare the operational financial performance, leverage, and liquidity of 60 large and medium commercial service airports in the United States during the 2010–2017 period. The paper further examines factors that may affect airport financial performance. The results reveal that large hub airports have better liquidity while medium airports have better leverage during the study period. These results suggest that the effect of airport size on financial performance is inconclusive. Regression analysis shows that airports with high productive efficiency and those without a dominant carrier tend to have more surplus revenues for meeting their operational financial needs and capital spending and have better liquidity. The paper highlights the importance of using appropriate metrics to evaluate the financial performance of public sector entities and provides relevant information to bond investors. The devastating impacts of the COVID-19 pandemic on airports accentuate the significance of leverage and liquidity. Therefore, the financial metrics discussed in this paper would help support public policy debates and allocate public funds to the airports.     

The determinants of aeronautical charges of U.S. airports: A spatial analysis

Using U.S. airport data from 2009 through 2016, this study examines the determinants of aeronautical charges of large and medium hub airports and accounts for the spatial dependence of neighboring airports in a spatial panel regression model. Our results show that U.S. airports' aeronautical charges are spatially dependent, and neighboring airport charges are positively correlated, implying that U.S. airports are in price competition with each other even though they are government-owned infrastructure. Additionally, we find evidence of airport cost recovery through non-aeronautical revenues. This may be indicative of the airport's cross-subsidizing aeronautical operations with non-aeronautical revenues. In addition, we found the airports that share revenues with airlines charge lower aeronautical fees than those that do not share revenues. We also found that more congested airports charge higher aeronautical fees.     

The impact of national macro-environment exogenous variables on airport efficiency

Our paper tests the extent to which airport efficiency is affected by national macro-environmental factors. The literature on airport performance measurement is extensive but has tended to focus mainly on estimating the effects on efficiency from what are mostly endogenous variables. We undertake a two-stage analysis of 59 international airports observations in the Europe and Asia-Pacific regions. The first stage involves the use of Data Envelopment Analysis (DEA) to measure the efficiency of these airports. This is followed by a second stage, where we use a Truncated Regression model that incorporates the Simar and Wilson bootstrapping technique to test the extent to which a set of macro-environmental factors affect airport efficiency. Results reveal that a state's air transport sector output, institutional quality and robustness, the macro-economic environment, safety and security, and human development, all have a significant influence on the performance of airports. The result of this study fills the gap in the literature related to the non-discretionary variables affecting the performance of airports. It also suggests that policymakers and airport managers consider the identified factors when benchmarking airports.     

Air route suspension: The role of stakeholder engagement and aviation and non-aviation factors

This study provides insight into how aviation and non-aviation factors affect the decision to suspend air routes. Using examples from Australian domestic routes, the paper analyses the business relationships and negotiation processes followed by airports, airlines, and destination management organizations (DMOs) to avoid air route suspensions. Data were collected through semi-structured interviews with key aviation and tourism stakeholders directly impacted by suspended routes. The outcomes of this paper demonstrate that while most of the major reasons for air route suspension in Australia are mentioned in existing literature and are linked to demand, other factors have not previously been deeply investigated, including how stakeholders can be involved to avoid air route suspension. The paper also explores and identifies strengths and weaknesses in the relationship among airlines, DMOs and airports.     

Small community airport choice behavior analysis: A case study of GTR

The issue of airport selection attracts considerable attention. However, most studies focus on using advanced discrete choice models to analyze airport choice behavior in metropolitan areas with several closely located, competing airports. This paper addresses passengers’ choice behavior in selecting between local small community airports and more distant major commercial airport. It looks at factors affecting air travelers’ airport choice behavior in cities with small community air service. Data relating to the Golden Triangle Regional Airport in Mississippi is used in logistic regressions to identify the key factors that influence air travelers’ airport choices. Ticket price, experience with Golden Triangle Regional Airport and flight schedule were found to be the strongest effects.     

Developing measures of airport productivity and performance: an application of data envelopment analysis

Many studies have investigated the financial results and economic productivity of airlines but few have investigated the productivity or performance of airports, and how changes in the industry may have affected them. Most airports measure performance strictly in accounting terms by looking at only total costs and revenues and the resulting surpluses or deficits. Few utilize any type of productivity measure or performance indicator. This paper applies Data Envelopment Analysis to assess the performance of airports. It is used to construct performance indices on the basis of the multiple outputs which airports produce and the multiple inputs which they utilize. In particular we develop productivity measures for terminals and airside operations. The performance measures are then used in a second stage Tobit regression in which environmental, structural and managerial variables are included. The regression results provide a ‘net’ performance index and also identify which variables the managers have some control over and what the relative importance of each variable is in affecting performance. The data set contains a panel of 21 U.S. airports over a five-year period.     

Airport traffic and financial performance: a UK and Ireland case study

The aim of this paper is to examine the development of air services at UK and Irish airports since 1998 and to assess the impact on airport financial performance. A sample of 14 medium/small sized UK airports and three Irish airports is used. The traffic analysis shows that low cost carriers have been largely responsible for strong passenger growth and increased passenger load at a number of regional airports. Some of these carriers use established primary and regional airports whilst others seek out small secondary airports. The airports with a high proportion of low cost traffic tend to have lower unit revenues, particularly as regards airport charges, demonstrating their desire to remain price competitive to capture this type of traffic.     

Statistical modelling of runway incursion occurences in the United States

Runway incursions are an important aviation safety concern; between 2002 and 2015 there were 16,785 runway incursions at United States airports ranging in size from small general aviation (GA) to large commercial airline hubs. When examining airports with the 50 highest incursion count over the past 5 years, the predominant categories were large hubs, which accounted for 21 airports and general aviation (GA) airports which accounted for 16 airports. In June 2015, the Federal Aviation Administration (FAA) announced the Runway Incursion Mitigation (RIM) program to identify airport risk factors that might contribute to a runway incursion and develop strategies to help airport stakeholders mitigate those risks. Different size airports serve different aircraft fleets, serve different operating volumes, and have different resources available (both funds and technologies) for incursion mitigation. Therefore, it is valuable to determine the correlating factors that affect incursions at different size airports. This paper uses econometrics based modelling techniques to identify statistically significant factors in data provided by the (FAA) public web sites on runway incursions. The model identified statistically significant variables that correlate with incursions, based on severity, for airports categories defined by the National Plan of Integrated Airport Systems (NPIAS).The model results indicate that operational incidents (OI) are more likely at large hub airports. In contrast, at GA/non-hub airports, pilot deviations (PD) were significant for less severe incursions (severity C and D). Only one variable, “number of years since 2002”, was found to be significant for all the three airport categories; this variable was correlated with severity A incursions and indicated a statistically significant reduction in severity A incursions, despite an overall 80% increase in incursions between 2002 and 2015.     

An econometric analysis of domestic air traffic demand in regional airports: Evidence from India

The Indian aviation industry has a vast potential to grow to cater to its population and commerce through developing air transport services to the regional airports. This paper examines the possible determinants of domestic air traffic demand in Indian regional airports serving below three million passengers per annum. Using multiple regression analysis, we find that distance to the nearest airport and accessibility of the airport significantly affect traffic volumes in regional airports. This study also highlights the specificities of Indian regional airports.     

The appropriate scale of US airport retail activities

Terminal-based retail has been sufficiently successful that many airport operators are considering enlarging their facilities in order to increase revenues. On the basis of data on the retail sales and rental revenues for 75 of the US's most important passenger airports, we demonstrate the significant impact of passenger demography on the volume and nature of airport retail sales. A method is outlined for combining information on the demography of passenger flows with construction costs in order to evaluate appropriate capital investments for terminal retail expansions.     

A comparative analysis of economic performance of US commercial airports

There have been various agreements between the US commercial airports and the airlines each of which has defined how the risk, responsibilities, and reward of running an airport should be shared among them. The airport–airline financial relationships at the nation’s commercial airports are based on four basic approaches: the residual cost, the compensatory, the hybrid, privatization approaches. In this paper, the authors provide a comprehensive review of airport–airlines financial agreements, and develop an analytical model to measure the financial performance of the US commercial airports. In general, compensatory airports have had a higher marginal contribution to profitability than residual airports.     

A price forecasting model for predicting value of commercial airports: a case of three Korean airports

As the privatization of airports progresses throughout the world, the economic value of these strategic assets must be determined from a commercial perspective, rather than the economic impact perspective, which is typically used by governmental agencies to justify their construction. This paper applies financial theory of asset valuation to commercial airports. The authors have selected three airports for valuation purposes: Gimpo, Kimhae and Jeju. These airports are ranked top three in terms of annual traffic volume, among the 16 airports operated by Korea Airport Corporation (“KAC”). The authors estimate the intrinsic value of three major airports; Gimpo, Kimhae, and Jeju based on the discounted cash flow (DCF) model at $1.8 billion. The ultimate price achieved depends on the individual expectations of potential buyers, their opportunity costs and entrepreneurial abilities, as well as the ensuing negotiations. This paper, therefore, provides a benchmark for determining airport valuation in the event of privatization.     

Local emission charges – A new economic instrument at German airports

In January 2008, charges were introduced at selected German airports aimed at reducing local emissions of nitrogen oxide and hydrocarbon. The charge is aimed at setting economic incentives to accelerate the introduction and foster the use of environmentally friendly engine technology and is designed to be revenue-neutral in the sense that it does not increase the airports' overall revenues from air traffic. To achieve this, the general landing fees need to be decreased by the amount of the emission charge. The introduction of this charge will have economic impacts on airlines and may have an impact on airline competition in the German air transport market. Case studies based on empirical data are presented for selected German airports. The results indicate that airline's finances will be affected differently by the emission charge, depending on the engines employed and on the aircraft population of the airport considered.