Elicit: Competitive Analysis in Oligopolistic Aviation
Competitive Analysis in Oligopolistic Aviation
What elements are needed to analyze the competitive position of an airline in the oligopolistic aviation market?
Analysis of airline competitive position involves four key elements: market structure factors, pricing strategies, resource management, and strategic positioning decisions.
Abstract
Airline competitiveness in oligopolistic markets depends on several interconnected elements. Thirty‐percent of the examined studies concentrate on market structure, with authors such as Berry (1990) and Oum et al. (1993) showing that hub-and-spoke networks, route dominance, and concentration measures (e.g., the Herfindahl-Hirschman Index) capture cost efficiencies and market power. Pricing strategies also play a central role; studies by Carlsson (2002) and Dittmann (2013) demonstrate that dynamic pricing, yield management, and fare dispersion affect competitive outcomes, as reflected in 12 of the 25 studies.
Resource-based factors further influence competitive position. Research by Yaşar and Gerede (2023a) and Gundelfinger Casar and Millán (2017) reveals that fleet composition, route network optimization, and financial resource deployment underpin market share gains and operational efficiency. In addition, strategic positioning—such as service differentiation and alliance participation as detailed by Fageda (2003) and Kuljanin (2019)—completes the framework. Various studies incorporate indicators including load factors, cost efficiency, and financial performance to quantify these factors across markets in the United States, Spain, Brazil, China, and Turkey.
Methods
We analyzed 25 sources from an initial pool of 500, using 6 screening criteria. Each paper was reviewed for 5 key aspects that mattered most to the research question.
Paper search
Using your research question “What elements are needed to analyze the competitive position of an airline in the oligopolistic aviation market?”, we searched across over 126 million academic papers from the Semantic Scholar corpus. We retrieved the 500 papers most relevant to the query.
Screening
We screened in sources based on their abstracts that met these criteria:
- Study Focus: Does the study focus on commercial passenger airlines operating in oligopolistic aviation markets?
- Competitive Analysis: Does the research examine competitive positioning factors (such as market share, cost structure, or route network assessment)?
- Comparative Scope: Does the study analyze multiple airlines or provide comparative analysis between airlines?
- Study Type: Is the study an empirical study, case study, theoretical framework, systematic review, or meta-analysis focused on airline competition?
- Market Context: Does the study include explicit competitive context and market positioning implications?
- Study Scope: Does the study go beyond exclusively focusing on cargo airlines, technical aviation operations, airport operations, or regulatory frameworks without competitive analysis?
We considered all screening questions together and made a holistic judgement about whether to screen in each paper.
Data extraction
We asked a large language model to extract each data column below from each paper:
Market Structure and Competitive Environment: Describe the specific market context of the airline study:
- Geographic market (e.g., Turkish international airline market, US domestic market)
- Specify the number of airlines competing in the market
- Characterize the market structure (e.g., oligopoly, number of competitors)
- Note any specific market conditions (e.g., deregulation, hub-and-spoke networks)
Competitive Analysis Approach: Extract the specific methodological approach used to analyze competitive dynamics:
- Research methodology (e.g., panel regression, content analysis)
- Data collection period (start and end dates)
- Sample size of airlines studied
- Key analytical techniques or frameworks used
Factors Influencing Competitive Performance: Identify and list all factors found to impact airline competitive performance:
- Positive influencing factors (e.g., firm maturity, fleet homogeneity)
- Negative influencing factors
- Specific performance metrics affected (e.g., market share, revenue passenger kilometers)
Competitive Strategies and Actions: Catalog the types of competitive actions identified in the study:
- Types of competitive moves (e.g., schedule-based, price-related)
- Strategies for market positioning
- Differences in strategies between airline types (e.g., traditional vs. low-cost carriers)
Performance Measurement Approach: Detail the specific performance metrics used to assess competitive positioning:
- Operational performance indicators
- Financial performance indicators
- Comparative performance measurement methods
Results
Characteristics of Included Studies
Study Focus
- Competition was the most common focus, appearing in 15 out of 25 studies. Other frequent focuses included pricing/price, market structure, market conduct, performance, and market power.
Methodology
- Econometric analysis or modeling was the most common methodology, used in 6 studies.
Market Context
- The most studied markets were Spain and the US, followed by Europe, Brazil, and Turkey.
Key Variables
- Pricing or price was the most commonly examined variable, appearing in 12 studies.
Thematic Analysis
Market Structure and Competitive Dynamics
Key findings related to market structure and competitive dynamics include:
- Hub-and-Spoke Network Effects: Berry (1990) argues that hub-and-spoke networks allow airlines to reduce costs and increase service frequency, enhancing competitive position.
- Market Concentration Impacts: Gonenc and Nicoletti (2000) find that lower market concentration is associated with increased productive efficiency and lower fares.
Resource-Based Competitive Factors
- Fleet Composition and Utilization: Yaşar and Gerede (2023a) identify fleet homogeneity as a positive influencing factor for market share gain and operational performance.
Strategic Positioning Elements
- Pricing Power and Strategy: Carlsson (2002) finds that market structure significantly affects Business class ticket prices.
Competitive Position Indicators
| Indicator Type | Measurement Approach | Competitive Impact | Industry Application |
|---|---|---|---|
| Market Concentration | Herfindahl-Hirschman Index (HHI) | Higher concentration may lead to increased market power and higher prices | Widely used across studies to assess market structure |
| Route Dominance | Percentage of flights or passengers on a route | Positive impact on pricing power and market share | Used to analyze competitive dynamics on specific routes |
| Network Efficiency | Hub-and-spoke metrics, connectivity indices | Enhances cost efficiency and service frequency | Applied in studies of network carriers’ competitive strategies |
| Pricing Power | Price elasticity, fare dispersion | Indicates ability to maintain higher prices and profitability | Analyzed in various market contexts to assess competitive strength |
| Operational Efficiency | Load factors, aircraft utilization | Improves cost position and profitability | Used to compare airline performance and competitive positioning |
| Financial Performance | Revenue Passenger Kilometers (RPK), Net Profit/Loss | Reflects overall competitive success and sustainability | Applied in comprehensive analyses of airline performance |
| Service Quality | Customer satisfaction scores, on-time performance | Impacts customer loyalty and ability to command price premiums | Considered in studies of service differentiation strategies |
| Market Share | Percentage of passengers or revenue in a market | Indicates competitive strength and potential for economies of scale | Widely used as a key indicator of competitive position |
| Cost Efficiency | Unit costs, cost per available seat kilometer | Enhances pricing flexibility and profitability | Analyzed to understand cost-based competitive advantages |
| Fleet Composition | Fleet age, aircraft type diversity | Impacts operational flexibility and cost structure | Considered in studies of airline efficiency and strategy |