IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2019i1p303-d303422.html
   My bibliography  Save this article

Energy Effectiveness of Jet Fuel Utilization in Brazilian Air Transport

Author

Listed:
  • Manoela Cabo

    (IBGE Brazilian Institute of Geography and Statistics, Av. República do Chile, 500-Centro, Rio de Janeiro-RJ 20031-170, Brazil
    COPPE Production and Transport Engineering Program, Federal University of Rio de Janeiro, Av. Pedro Calmon, 550-Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ 21941-901, Brazil)

  • Elton Fernandes

    (COPPE Production and Transport Engineering Program, Federal University of Rio de Janeiro, Av. Pedro Calmon, 550-Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ 21941-901, Brazil)

  • Paulo Alonso

    (Electronics and Communication Engineering Department, UERJ Rio de Janeiro State University, R. São Francisco Xavier, 524-Maracanã, Rio de Janeiro-RJ 20550-000, Brazil)

  • Ricardo Rodrigues Pacheco

    (COPPE Production and Transport Engineering Program, Federal University of Rio de Janeiro, Av. Pedro Calmon, 550-Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ 21941-901, Brazil)

  • Felipe Fagundes

    (COPPE Production and Transport Engineering Program, Federal University of Rio de Janeiro, Av. Pedro Calmon, 550-Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ 21941-901, Brazil)

Abstract

Since World War I, the commercial aviation industry has seen many improvements that now allow people and goods to reach the other side of the world in a few hours, consuming much less fuel than in recent decades. Improvements in cargo capacity and energy efficiency were significant, and in this scenario, commercial airlines were able to thrive and bring great benefits to the world economy. However, this sector is facing environmental challenges due to the intensive use of jet fuel. Brazil is one of the largest domestic air passenger markets in the world and still has great growth potential, considering its economic potential and territorial dimensions, which are roughly the same size as the US and twice the size of the European Union. This paper discusses the partial productivity of jet fuel in Brazilian domestic aviation and proposes an econometric method to support public regulators and airline decisions. The proposed model uses variables, such as aircraft size, route characteristics, and idle flight capacity, in a panel data analysis. The results show that reducing idle capacity is one of the best ways to achieve better short-term fuel efficiency, and therefore will reduce the environmental impacts and have positive economic effects on commercial air transport activities. This paper brings a new approach to the discussion of airline performance, focusing on the use of jet fuel, with economic and environmental consequences.

Suggested Citation

  • Manoela Cabo & Elton Fernandes & Paulo Alonso & Ricardo Rodrigues Pacheco & Felipe Fagundes, 2019. "Energy Effectiveness of Jet Fuel Utilization in Brazilian Air Transport," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:303-:d:303422
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/303/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/303/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Park, Yongha & O'Kelly, Morton E., 2018. "Examination of cost-efficient aircraft fleets using empirical operation data in US aviation markets," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 224-234.
    2. Park, Yongha & O’Kelly, Morton E., 2014. "Fuel burn rates of commercial passenger aircraft: variations by seat configuration and stage distance," Journal of Transport Geography, Elsevier, vol. 41(C), pages 137-147.
    3. repec:dau:papers:123456789/6792 is not listed on IDEAS
    4. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, October.
    5. Gaolu Zou & K. W. Chau, 2019. "Long- and Short-Run Effects of Fuel Prices on Freight Transportation Volumes in Shanghai," Sustainability, MDPI, vol. 11(18), pages 1-12, September.
    6. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, October.
    7. Chèze, Benoît & Gastineau, Pascal & Chevallier, Julien, 2011. "Forecasting world and regional aviation jet fuel demands to the mid-term (2025)," Energy Policy, Elsevier, vol. 39(9), pages 5147-5158, September.
    8. Azam, Muhammad, 2016. "Does environmental degradation shackle economic growth? A panel data investigation on 11 Asian countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 175-182.
    9. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
    10. Kasman, Adnan & Duman, Yavuz Selman, 2015. "CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis," Economic Modelling, Elsevier, vol. 44(C), pages 97-103.
    11. Zou, Bo & Elke, Matthew & Hansen, Mark & Kafle, Nabin, 2014. "Evaluating air carrier fuel efficiency in the US airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 306-330.
    12. Brueckner, Jan K. & Abreu, Chrystyane, 2017. "Airline fuel usage and carbon emissions: Determining factors," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 10-17.
    13. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
    14. González, Rodrigo & Hosoda, Eiji B., 2016. "Environmental impact of aircraft emissions and aviation fuel tax in Japan," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 234-240.
    15. Li, Tingting & Wang, Yong & Zhao, Dingtao, 2016. "Environmental Kuznets Curve in China: New evidence from dynamic panel analysis," Energy Policy, Elsevier, vol. 91(C), pages 138-147.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brueckner, Jan K. & Abreu, Chrystyane, 2020. "Does the fuel-conservation effect of higher fuel prices appear at both the aircraft-model and aggregate airline levels?," Economics Letters, Elsevier, vol. 197(C).
    2. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
    3. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    4. Patricio Aroca & Juan Gabriel Brida & Juan Sebastián Pereyra & Serena Volo, 2014. "Tourism statistics: correcting data inadequacy using coarsened exact matching," BEMPS - Bozen Economics & Management Paper Series BEMPS22, Faculty of Economics and Management at the Free University of Bozen.
    5. Fulvia Pennoni & Beata Bal-Domańska, 2022. "NEETs and Youth Unemployment: A Longitudinal Comparison Across European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 739-761, July.
    6. Manal Ayyad Dhif Alshammry & Saqib Muneer, 2023. "The influence of economic development, capital formation, and internet use on environmental degradation in Saudi Arabia," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    7. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2015. "The 2013 Survey of Consumer Payment Choice: technical appendix," Research Data Report 15-5, Federal Reserve Bank of Boston.
    8. Rodrigo V. Ventura & Manoela Cabo & Rafael Caixeta & Elton Fernandes & Vicente Aprigliano Fernandes, 2020. "Air Transportation Income and Price Elasticities in Remote Areas: The Case of the Brazilian Amazon Region," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    9. Lynn, Peter & Bosch, Oriol, 2021. "Methodological lessons from the pilot longitudinal survey on debt advice," ISER Working Paper Series 2021-03, Institute for Social and Economic Research.
    10. Caudill, Jonathan W. & Getty, Ryan & Smith, Rick & Patten, Ryan & Trulson, Chad R., 2013. "Discouraging window breakers: The lagged effects of police activity on crime," Journal of Criminal Justice, Elsevier, vol. 41(1), pages 18-23.
    11. Keyi Duan & Mingyao Cao & Nurhafiza Abdul Kader Malim & Yan Song, 2022. "Nonlinear Relationship between Financial Development and CO 2 Emissions—Based on a PSTR Model," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    12. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    13. Abayomi Oredegbe, 2022. "Competition and Banking Industry Stability: How Do BRICS and G7 Compare?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 7-31, March.
    14. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
    15. Edward Frees & Jee-Seon Kim, 2006. "Multilevel Model Prediction," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 79-104, March.
    16. Jun Zhao & Xiucheng Dong & Kangyin Dong, 2021. "Can agglomeration of producer services reduce urban–rural income inequality? The case of China," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 736-762, December.
    17. LU, Yi & Zhao, Jianting & Wu, Xueying & Lo, Siu Ming, 2020. "Escaping to nature in pandemic: a natural experiment of COVID-19 in Asian cities," SocArXiv rq8sn, Center for Open Science.
    18. Kaixing Huang, 2015. "The Economic Impacts of Global Warming on Agriculture: the Role of Adaptation," School of Economics and Public Policy Working Papers 2015-20, University of Adelaide, School of Economics and Public Policy.
    19. Torben Dall Schmidt & Peter Sandholt Jensen, 2012. "Social networks and regional recruitment of foreign labour: Firm recruitment methods and spatial sorting in Denmark," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 795-821, November.
    20. Li, Jiaman & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Wang, Kun, 2022. "3G in China: How green economic growth and green finance promote green energy?," Renewable Energy, Elsevier, vol. 200(C), pages 1327-1337.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:303-:d:303422. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.