Prelims
Airlines and Developing Countries
ISBN: 978-1-80455-861-4, eISBN: 978-1-80455-860-7
ISSN: 2212-1609
Publication date: 6 June 2023
Citation
(2023), "Prelims", Button, K. (Ed.) Airlines and Developing Countries (Advances in Airline Economics, Vol. 10), Emerald Publishing Limited, Leeds, pp. i-xvii. https://doi.org/10.1108/S2212-160920230000010014
Publisher
:Emerald Publishing Limited
Copyright © 2023 Kenneth Button. Published under exclusive licence by Emerald Publishing Limited
Half Title Page
Airlines and Developing Countries
Series Title Page
Advances in Airline Economics
Series Editor: James Peoples
Recent Volumes:
Volume 1: | Competition Policy and Anti-Trust, Darin Lee |
Volume 2: | The Economics of Airline Institutions, Operations and Marketing, Darin Lee |
Volume 3: | Pricing Behaviour and Non-Price Characteristics in the Airline Industry, James Peoples |
Volume 4: | The Economics of International Airline Transport, James Peoples |
Volume 5: | Airline Efficiency, John D. Bitzan, James Peoples and Wesley W. Wilson |
Volume 6: | The Economics of Airport Operations, John D. Bitzan and James Peoples |
Volume 7: | Airline Economics in Asia, Xiaowen Fu and James Peoples |
Volume 8: | Airline Economics in Europe, Kevin Cullinane |
Volume 9: | The International Air Cargo Industry: A Modal Analysis, James Nolan and James Peoples |
Editorial Advisory Board
Series Editor
James Peoples
University of Wisconsin-Milwaukee, USA
Associate Editors
John Bitzan
North Dakota State University, USA
Kevin Cullinane
University of Gothenburg, Sweden
Xiaowen Fu
The University of Sydney, Australia
Board of Editors
Volodymyr Bilotkach
Newcastle University, UK
Jan K. Brueckner
University of California, USA
Martin Dresner
University of Maryland, USA
David Gillen
University of British Columbia, Canada
Timothy J. Hazledine
University of Auckland, New Zealand
Marc Ivaldi
Universit'e Toulouse 1 Capitole, France
Theodore E. Keeler
University of California, USA
B. Starr McMullen
Oregon State University, USA
Steven Morrison
Northeastern University, USA
James Nolan
University of Saskatchewan, Canada
Claudio Piga
Keele University, UK
Nicholas G. Rupp
East Carolina University, USA
Ian Savage
Northwestern University, USA
Wayne Talley
Old Dominion University, USA
Wesley W. Wilson
University of Oregon, USA
Chunyan Yu
Embry-Riddle Aeronautical University, USA
Title Page
Advances in Airline Economics Volume 10
Airlines and Developing Countries
Edited by
Kenneth Button
George Mason University, USA
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
Howard House, Wagon Lane, Bingley BD16 1WA, UK
First edition 2023
Editorial matter and selection © 2023 Kenneth Button.
Individual chapters © 2023 The authors.
Published under exclusive licence by Emerald Publishing Limited.
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British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
ISBN: 978-1-80455-861-4 (Print)
ISBN: 978-1-80455-860-7 (Online)
ISBN: 978-1-80455-862-1 (Epub)
ISSN: 2212-1609 (Series)
List of Figures and Tables
Chapter 3 | |
Figure 3.1. | Passenger Traffic Latin American Airlines, 1949–1970. |
Chapter 4 | |
Figure 4.1. | Impulse Response Functions (Normalized) for Brazil (First Column), Chile (Second Column) and Uruguay (Third Column). |
Chapter 5 | |
Figure 5.1. | Trends in Available Seats From African Airports, 2004–2019. |
Figure 5.2. | Intra-Africa Air Transport Routes, 2003 and 2019. |
Figure 5.3. | Africa's Intercontinental Routes, 2003 and 2019. |
Figure 5.4. | Trends in Intra-Africa and Intercontinental Seats Available, 2004–2019. |
Figure 5.5. | Interaction Channels Between Air Transport and the Economy. |
Figure 5.6. | Employees of Selected African Airlines, 2019. |
Figure 5.7. | Indexed Growth: Seat Capacity Versus GDP Growth (2010 = 100). |
Figure 5.8. | Correlation Between Air Transport and GDP per Capita in Africa, 2019. |
Figure 5.9. | Causal Directions Between the Air Transport Industry and the Economy. |
Figure 5.10. | Suggested Investment Decisions Based on the Direction of Causal Relationships. |
Chapter 6 | |
Figure 6.1. | Domestic Air Traffic in Maghreb Countries. |
Figure 6.2. | Libya's Domestic Air Transportation Network (Left) and Size of Airports by Passenger Share in 2018 (Right). |
Figure 6.3. | Tunisia's Domestic Air Transportation Network (Left) and Size of Airports by Passenger Share in 2018 (Right). |
Figure 6.4. | Domestic Air Transportation Network in Mauritania (Left Panel) and Size of Airports by Passenger Share in 2018 (Right Panel). |
Figure 6.5. | Algerian Domestic Air Traffic Network (Left Panel) and Size of Airports by Passenger Share in 2018 (Right Panel). |
Figure 6.6. | Moroccan Domestic Air Traffic Network (Left Panel) and Size of Airports by Passenger Share in 2018 (Right Panel). |
Figure 6.7. | Distribution of Intra-Maghreb Passenger Traffic Flows (2018). |
Figure 6.8. | Intra-Maghreb Origin–Destination Passenger Traffic 2010–2018. |
Figure 6.9. | Intra-Maghreb Air Traffic Flows by Type of Flight (Left Panel) and Nondirect Intra-Maghreb Flights by Connecting Region (Right Panel). |
Chapter 7 | |
Figure 7.1. | Low-Cost Carrier Share of Seat Capacity in Asia. |
Figure 7.2. | Development and LCC Shares of Departure Capacity (2018). |
Figure 7.3. | Network Structures of Garuda Indonesia and Lion Air. |
Figure 7.4. | CO2-Equivalent Emissions per Available Seat-Nautical Mile. |
Figure 7.5. | Possible Airbus A321 City-Pairs for Three Asian LCCs. |
Chapter 8 | |
Figure 8.1. | Market Share Between LCCs and Non-LCCs in ASEAN, 2011–2019. |
Figure 8.2. | BCG Matrix of Airline Performance. |
Chapter 10 | |
Figure 10.1. | Triangular Fuzzy Number Ã. |
Figure 10.2. | Triangular Fuzzy Numbers for Linguistic Terms. |
Figure 10.3. | Fuzzy-TISM Diagram. |
Figure 10.4. | Driving Power and Dependence Matrix Based on Fuzzy Reachability Matrix. |
Figure 10.5. | Driving Power and Dependence Matrix Based on Defuzzified Reachability Matrix. |
Chapter 12 | |
Figure 12.1. | Average Aggregate and Disaggregate Efficiency Scores, 2015–2019. |
Chapter 13 | |
Figure 13.1. | Air Freight (Million Ton Km) by Country Ranking (2019). |
Figure 13.2. | Possible Supply Chains for Air Cargo Transportation. |
Chapter 1 | |
Table 1.1. | Alphabetical List of 70 of the IMF's Low-Income Countries in 2016 With Various Descriptive Indices. |
Chapter 3 | |
Table 3.1. | Douglas DC 8 and Boeing 707 Manufactured (1958–1962). |
Chapter 4 | |
Table 4.1. | Characteristics of Sample. |
Table 4.2. | Unit Root Tests. |
Table 4.3. | Unrestricted Cointegration Rank Test. |
Table 4.4. | Error Correction Models. |
Chapter 5 | |
Table 5.1. | Economic Impacts of the Air Transport Industry, 2018. |
Table 5.2. | Coefficients of Long-Run Estimations. |
Table 5.3. | Test of Granger Causality in a VEC Framework. |
Chapter 6 | |
Table 6.1. | Maghreb Cities' Dataset. |
Table 6.2. | Variables and Their Definitions/Descriptions. |
Table 6.3. | Summary Statistics. |
Table 6.4. | Endogeneity and Hausman Tests Results. |
Table 6.5. | Correlation Matrix. |
Table 6.6. | Determinants of Intra-Maghreb Passenger Air Traffic. |
Chapter 7 | |
Table 7.1. | Summary of Airline Capacity in Asia, 2018. |
Table 7.2. | Most Densely Trafficked City-Pairs by Scheduled Capacity (April 2018). |
Table 7.3. | Minimum Roundtrip FSNC and LCC Fares on Selected City-Pairs (2019). |
Table 7.4. | Shimbel Indices for Best Connected Cities. |
Table 7.5. | Network Measures, 2003 and 2018. |
Table 7.6. | Network Characteristics of Low-Cost Carrier-Only Services Within Asia (2018). |
Table 7.7. | Network Characteristics of Selected Low-Cost Carriers and Full-Service Network Carriers (2018). |
Table 7.8. | Asian Carrier Fleets (Outstanding Orders as of June 30, 2021). |
Table 7.9. | Select LCC Aggregate (Filled and Unfilled-To-Date) Orders (July 2021). |
Chapter 8 | |
Table 8.1. | LCC Market Share in East Asia. |
Table 8.2. | Descriptive Statistics. |
Table 8.3. | Overall and Term Efficiency. |
Table 8.4. | Production Efficiency Over Time. |
Table 8.5. | Marketing Efficiency Over Time. |
Table 8.6. | MPI Changes From 2012 to 2019. |
Table 8.7. | Year-on-Year Changes in MPI From 2012 to 2019. |
Chapter 9 | |
Table 9.1. | Membership of the Three Global Strategic Alliances 2018. |
Table 9.2. | The Nations Engaged in Air Afrique. |
Table 9.3. | Characteristics of Main Airline Alliances Prior to the COVID-19 Pandemic. |
Chapter 10 | |
Table 10.1. | Factors and Their Description. |
Table 10.2. | Linguistic Terms and Corresponding Triangular Fuzzy Numbers for “Influence.” |
Table 10.3. | List of Experts Consulted. |
Table 10.4. | Aggregated Structural Self-Interaction Matrix. |
Table 10.5. | Fuzzy Reachability Matrix Based on the Aggregated Fuzzy SSIM Matrix. |
Table 10.6. | Final Fuzzy Reachability Matrix With Fuzzy and Crisp Values of Driving Power and Dependence. |
Table 10.7. | Defuzzified Reachability Matrix With Transitive Links. |
Table 10.8. | Partitioning the Defuzzified Reachability Matrix Into Different Levels. |
Table 10.9. | Interpretive Matrix. |
Chapter 11 | |
Table 11.1. | The Characteristics of Post-Soviet States. |
Table 11.2. | National Air Transport System of Post-Soviet States. |
Table 11.3. | Aeroflot Group's Multi-Brand Strategy. |
Table 11.4. | Russian LCC Characteristics. |
Table 11.5. | Foreign LCCs Serving the Russian Market, 2020. |
Table 11.6. | Example of LCCs by Countries, January to August 2020. |
Table 11.7. | Post-Soviet States LCCs. |
Table 11.8. | Active LLC. |
Table 11.9. | Post-Soviet States LCCs Characteristics. |
Chapter 12 | |
Table 12.1. | Review of Airlines Efficiency Studies. |
Table 12.2. | Descriptive Statistics of Input and Output Variables of the Asian Airlines. |
Table 12.3. | Airline Types. |
Table 12.4. | Overall Total Efficiency Scores of Asian Airlines. |
Table 12.5. | Aggregate and Disaggregate Output Efficiency Scores of Asian Airlines. |
Table 12.6. | Average Annual Output Efficiency of Flag Carriers and Nonflag Carriers. |
Table 12.7. | Average Annual Output Efficiency of FSCs and LCCs. |
Table 12.8. | Average Annual Output Efficiency of Alliance Airlines and Nonalliance Airlines. |
Table 12.9. | Average Annual Output Efficiency of Airlines From High- and Low-Income Regions. |
Table 12.10. | Average Annual Output Efficiency of ASEAN and Non-ASEAN Airlines. |
Table 12.11. | MWU Test on Overall, Revenue, and RPK Efficiency of Each Paired types. |
Table 12.12. | Hypotheses and Results. |
Chapter 13 | |
Table 13.1. | Share of Global Production of the Largest Flower-Producing Nations (2021). |
Table 13.2. | US Imports of Cut Flowers ($Millions). |
Table 13.3. | Moving Flowers From Colombia to Florida. |
List of Contributors
Nhi Ha Bao Bui | National Yang Ming Chiao Tung University, Taiwan |
Svein Bråthen | Molde University College, Norway |
Juan Gabriel Brida | Universidad de la República, Uruguay |
John Bowen | Central Washington University, USA |
Porter Burns | Central Washington University, USA |
Kenneth Button | George Mason University, USA |
Tamilla Curtis | David B. O'Maley College of Business, USA |
Johan Holmgren | Molde University College, Norway |
Jin-Li Hu | National Yang Ming Chiao Tung University, Taiwan |
Aliyu Isah | University of Huddersfield, UK |
K. N. Jha | Indian Institute of Technology Delhi, India |
Bibiana Lanzilotta | Universidad de la República, Uruguay |
Colin C. H. Law | Emirates Aviation University, United Arab Emirates |
Eric Tchouamou Njoya | University of Huddersfield, UK |
Dawna L. Rhoades | Embry-Riddle Aeronautical University, USA |
Verónica Segarra | Universidad de la República, Uruguay |
Nivea Thomas | Indian Institute of Technology Delhi, India |
Tassew Dufera Tolcha | Molde University College, Norway |
Henry Vega | Congressum Consulting Inc., Canada |
Javier Vidal | University of Alicante, Spain |
Sandra Zapata | Universidad de la República, Uruguay |
Anming Zhang | University of British Columbia, Canada |
Yahua Zhang | University of South Australia, Australia |
Preface
The links between transportation and economic development are complex and far from being fully understood. This is as true for airlines as other modes. This collection of original papers offers both general observations on the economics linking airlines and economic development, together with some more microanalysis of particular issues. It contains not only technical analyses but also interdisciplinary studies linking economics with a broad range of geographical, management, and political disciplines. It has been increasingly recognized that the essentially engineering approach to human behavior underlying neoclassical economics, with its focus on the motivations and actions of homo economicus, is too limited to fully understand how markets function. Indeed, many of the more recent contributions dealing with airlines and developing countries have been published outside of the mainstream economic journals.
I would like to thank the contributors for the time and effort they have put into drafting their chapters and hope they prove interesting and insightful to readers.
Kenneth Button, Editor
- Prelims
- Introduction
- Developing Countries and Their Passenger Airlines: An Economic History
- The Economic History of Airline Development in Latin America
- Exploring Dynamic Relationships Between Air Transportation and Economic Growth in South America
- Causal Relationships Between the African Aviation Industry and the Economy
- Determinants of Intra-Maghreb Air Transport Demand
- “We Make People Fly”: Low-Cost Carriers, Economic Development, and Sustainability in Asia
- The Efficiency Performance of Full-Service Carriers in East and Southeast Asia Amid Increasing Air Transport Liberalization and LCC Presence
- Code Sharing, Airline Alliances, and Other Forms of Airline “Cooperation” in Developing Countries
- What Drives the Sustenance of Regional Airlines and Airports? An Exploratory Study in India
- Overview of Low-Cost Carriers in Russia and Post-Soviet States
- Aggregate and Disaggregate Output Efficiency of Asian Passenger Airlines
- The Role of Freight Airlines in the Developing World
- Index