# 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.

### Papers identified with Elicit search

n = 500

#### Papers screened using:
- Study Focus
- Competitive Analysis
- Comparative Scope
- Study Type
- Market Context
- Study Scope

n = 500

### Papers screened out

n = 475

### Papers included for extraction

n = 25

## 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](https://support.elicit.com/en/articles/553025) across over 126 million academic papers from the [Semantic Scholar](https://www.semanticscholar.org/) 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. We gave the model the extraction instructions shown below for each column.
- **Market Structure and Competitive Environment**:
    - Describe the specific market context of the airline study:
        - Identify the 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 | Methodology | Market Context | Key Variables Examined |
| --- | --- | --- | --- |
| Airline competition and product differentiation | Theoretical model | US domestic market (implied) | Airport presence, hub-and-spoke systems, market power |
| Price and frequency choice | Address model, econometric analysis | Eight European countries, 172 city-pair markets | Market structure, prices, flight frequency |
| Market structure and pricing strategies | Concentration indicators, econometric modeling | Brazilian domestic airline market | Market concentration, pricing, operational costs |
| Competitive behavior of airlines | Choice Theory, Pricing Theory | Chinese domestic airline market | Pricing strategies, market structure |
| Effect of market structure on prices | Panel data analysis | International air transport industry | Market structure, prices, government policy |
| Competition and liberalization effects | Empirical model, instrumental variables | Spanish domestic market | Market structure, product differentiation, scale advantages |
| Airline competition and conduct | Oligopoly models | Spanish air transport market | Market conduct, density economies |
| Airline competition and conduct | Demand and pricing equation system | Spanish airline market | Market conduct, density economies |
| Regulation, market structure, and performance | Regression analysis, factor analysis | 27 OECD countries, 102 air routes | Regulation, market structure, performance |
| Oligopolistic competition | Instrumental variables, econometric modeling | Spanish domestic airline market | Demand, market structure, pricing |

### Analysis of the systematic review table suggests the following key points:
- **Study Focus**: Competition was the most common focus, appearing in 15 out of 25 studies. Other frequent focuses included pricing/price (4 studies), market structure (3 studies), market conduct (3 studies), performance (3 studies), and market power (3 studies).
- **Methodology**: Econometric analysis or modeling was the most common methodology, used in 6 studies. Empirical models or studies were used in 3 studies, and instrumental variables in 2 studies.
- **Market Context**: The most studied markets were Spain and the US (4 studies each), followed by Europe, Brazil, and Turkey (3 studies each). China was the focus of 2 studies.
- **Key Variables**: Pricing or price was the most commonly examined variable, appearing in 12 studies. Market structure was the second most common, examined in 8 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.
    - Oum et al. (1993) note that intensifying hub-and-spoke networks is a key strategy for major US airlines to solidify market power.
    - Fageda (2004, 2005) highlight that these networks enable airlines to benefit from economies of density and scale in the Spanish market.
    - Oliveira and Oliveira (2016) discuss how these networks contribute to market concentration and potential market power abuse in the Brazilian airline industry.
- **Market Concentration Impacts**:
    - Gonenc and Nicoletti (2000) find that lower market concentration is associated with increased productive efficiency and lower fares across OECD countries.
    - Piga and Bachis (2007) suggest that while dominance within a route is associated with higher fares, a larger share within a city-pair does not necessarily facilitate market power.
    - Carlsson (2002) finds that increased market concentration leads to higher Business class ticket prices in European markets.
    - Cavalcante de Souza et al. (2017) highlight how high market concentration in the Brazilian market allows leading companies to control pricing.
- **Entry Barriers and Competitive Responses**:
    - Fageda (2003) notes that scale advantages of major airlines in the Spanish market create barriers for smaller airlines.
    - Cavalcante de Souza et al. (2017) identify high costs for acquiring aircraft and slots as significant entry barriers in the Brazilian market.
    - Kuljanin (2019) examines how the entry of low-cost carriers (LCCs) into the long-haul sector has altered the competitive landscape in the transatlantic market.

### Resource-Based Competitive Factors

Key findings related to resource-based competitive factors include:
- **Fleet Composition and Utilization**:
    - Yaşar and Gerede (2023a) identify fleet homogeneity as a positive influencing factor for market share gain and operational performance.
    - Gundelfinger Casar and Millán (2017) find that average aircraft size negatively influences price, indicating that larger aircraft lead to lower prices, possibly due to economies of scale.
- **Route Network Optimization**:
    - Berry (1990) highlights how hub-and-spoke systems allow airlines to reduce the number of round-trips necessary while increasing passenger miles flown, potentially leading to cost advantages.
    - Oum et al. (1993) note that intensifying hub-and-spoke networks is a key strategy for major airlines to enhance their competitive position.

### Strategic Positioning Elements

Key findings related to strategic positioning elements include:
- **Pricing Power and Strategy**:
    - Carlsson (2002) finds that market structure significantly affects Business class ticket prices in European markets, with increased concentration leading to higher prices.
    - Piga and Bachis (2007) note that while dominance within a route is associated with higher fares, a larger share within a city-pair does not necessarily facilitate market power.
- **Service Differentiation**:
    - Fageda (2003) highlights product differentiation as an essential feature of airline competition, allowing airlines to target different market segments.
    - Kuljanin (2019) discusses how full-service carriers and low-cost carriers employ different strategies, with full-service carriers focusing on quality and network advantages while low-cost carriers compete primarily on price.

## 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 |