What effect does the size (number of employees) of airlines around the world have on their profitability and how does this differ between European and American airlines?
To determine whether this was the case, an analysis of Orbis data, and further technical exploration through scatterplots and graphs in SPSS, was conducted. However, the statistical data suggests that there is no significant relationship between an airline´s size and its profitability. Our results, therefore, conclude that large airlines cannot make use of economies of scale to become more profitable, potentially encouraging policy makers to change the current market structure as larger firms are provenly not more efficient.
In dieser ausführlichen Hausarbeit des Faches VWL wird die Frage näher erläutert, ob größere Fluggesellschaften im erhöhten Ausmaß von Skaleneffekten und einer höheren Profitabilität profitieren als kleinere Firmen.
Anhand von statistischen Methodiken wird diese Fragestellung detailliert erforscht. Dabei wird neben der eigentlichen Frage auch noch die Annahme untersucht, dass amerikanische Fluggesellschaften profitabler sind und stärker von Skaleneffekten profitieren als ihre europäischen Konkurrenten. Dies macht die Hausarbeit auch gesellschaftlich relevant, da sich aus diesen Fragestellungen wichtige Erkenntnisse ziehen lassen, etwa bezüglich der Wettbewerbsfähigkeit Europas.
Table of Contents
1. Abstract
2. Introduction
3. Theoretical framework
4. Data
5. Methods
6. Results
6.1 First hypothesis
6.2 Second hypothesis
7. Discussion and conclusion
8. Bibliography
Research Objectives and Themes
The primary objective of this research is to investigate the relationship between the size of an airline (measured by the number of employees) and its profitability, while also analyzing the potential differences in this relationship between European and American carriers to determine if larger airlines truly benefit from economies of scale.
- Effect of airline workforce size on corporate profitability
- Comparative analysis of European and American airline efficiency
- Evaluation of economies of scale in global air transportation
- Statistical testing of corporate profitability hypotheses
- Policy implications for airline market structures
Excerpt from the Book
First hypothesis:
Our first hypothesis, that airlines worldwide get more profitable the larger they become, was analysed by using linear regression lines.
When observing Figure 1.1 it becomes clear that most observations fall between 0 - 100 in terms of profitability and between 0 - 40,000 for employees. There are a handful of outliers that stand out. For example, the airline with more than 250 in profitability but has close to 0 employees. These outliers would slightly disrupt our analysis but not to a great extent as they only represent a small fraction of the data collected.
The regression line reveals that the number of employees would have little effect on the profitability of an airline as the line is relatively flat. However, to gain a deeper insight into the exact nature of the effect of employees on profitability we need to analyse the regression line formula. The following formula is produced: y = 6.430 - 0.000049x + ε. The most notable observation would be the negative slope. The negative slope indicates that with each additional employee, profitability would decrease by 0.000049. Even though the slope is a very small decimal, it would still disprove our first hypothesis. However, due to the significance value of 0.483 which is larger than our alpha of 0.05, the data is not statistically relevant.
Summary of Chapters
Abstract: Provides an overview of the research question concerning airline size and profitability, noting that the study found no significant relationship and concludes that large airlines do not necessarily benefit from economies of scale.
Introduction: Outlines the industry context, identifies the research question, and explains the social and scientific relevance of investigating efficiency in the global airline market.
Theoretical framework: Discusses existing literature on economies of scale and profitability, formulating two hypotheses based on the assumption that larger workforces might lead to efficiency gains.
Data: Describes the selection of the Orbis database as the primary data source and explains the criteria used to filter financial data for 866 airlines across a five-year period.
Methods: Details the quantitative approach, specifically the use of scatterplots and linear regression models in SPSS to test the correlation between employee count and profitability ratios.
Results: Presents the statistical findings for both hypotheses, showing that the regression models do not provide significant evidence to support the theory that size increases profitability.
Discussion and conclusion: Interprets the findings in the context of existing literature, highlights research limitations, and suggests implications for policymakers and future studies.
Bibliography: Lists the academic sources and datasets referenced throughout the research paper.
Keywords
Airline industry, Economies of scale, Profitability, Workforce size, European airlines, American airlines, Linear regression, Market structure, Orbis database, Efficiency, Corporate size, Statistical analysis, Consumer welfare, Labor costs, Operational performance.
Frequently Asked Questions
What is the core focus of this research paper?
The paper investigates whether larger airlines, measured by the number of employees, exhibit higher profitability and efficiency, thereby testing the existence of economies of scale in the global airline industry.
Which thematic fields are explored in this study?
The study covers corporate financial performance, human resource scale, comparative regional industrial economics (Europe vs. North America), and the impact of market structures on consumer welfare.
What is the primary research question being answered?
The research asks what effect the size of an airline has on its profitability and how this relationship differs between European and American airline companies.
Which scientific methodology is employed?
The researchers use quantitative methods, specifically processing financial data from the Orbis database through linear regression analysis and scatterplots within SPSS.
What topics are covered in the main body of the paper?
The main body covers the theoretical foundation, data collection criteria, the specific regression models used to test two hypotheses, and a detailed presentation of the statistical results.
Which keywords best characterize this work?
Key terms include Airline industry, Economies of scale, Profitability, Workforce size, Efficiency, and Statistical analysis.
Does the data support the hypothesis that larger airlines are more profitable?
No, the statistical analysis indicates that there is no significant positive relationship between company size and profitability in the airline sector.
How do the results for American airlines compare to those for European airlines?
While American airlines showed a slight positive correlation in the regression, the significance levels for both regions were insufficient to confirm that either region benefits from economies of scale in a statistically relevant way.
What explanation does the paper offer for these results?
The authors suggest that while larger firms might have efficiency gains, these are likely offset by higher labor costs and wage expenses, leading to a net neutralization of profitability benefits.
- Citation du texte
- Paul Weiland (Auteur), 2023, Economies of scale in the airline industry, Munich, GRIN Verlag, https://www.grin.com/document/1383335
