IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p1654-d1036067.html
   My bibliography  Save this article

Airport Group Operational Capacity Assessment and Analysis of Its Influencing Factors: Taking Typical Chinese Airport Group as an Example

Author

Listed:
  • Yafei Li

    (College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China)

  • Meijun Teng

    (College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China)

Abstract

As an important transportation hub for air transportation, airports have played an important role in promoting regional economic and social development and improving the comprehensive national transportation system. The exploration of the key factors affecting the airport’s operational capacity are of great importance to the sustainable development of the civil aviation transportation industry. In order to investigate the effect of airport operation, this paper selects 13 major airports in China’s three major airport groups as the objects, defines the airport operational capacity by using entropy method combined with relevant indicators, calculates and sorts the operational capacity of sample airports, and analyzes the operational capacity of their internal airports by taking airport groups as units. By using the Tobit regression model, this paper analyzes the important factors that affect the operational capacity of sub-airports within the airport group. The results show that the economic level, urban development and the degree of opening to the outside world have a positive impact on the airport operational capacity. Different regional airport groups have different influencing factors on internal sub-airports’ operational capacity.

Suggested Citation

  • Yafei Li & Meijun Teng, 2023. "Airport Group Operational Capacity Assessment and Analysis of Its Influencing Factors: Taking Typical Chinese Airport Group as an Example," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1654-:d:1036067
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/1654/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/1654/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    4. Kaya, Gizem & Aydın, Umut & Karadayı, Melis Almula & Ülengin, Füsun & Ülengin, Burç & İçken, Ayhan, 2022. "Integrated methodology for evaluating the efficiency of airports: A case study in Turkey," Transport Policy, Elsevier, vol. 127(C), pages 31-47.
    5. Gillen, David & Lall, Ashish, 1997. "Developing measures of airport productivity and performance: an application of data envelopment analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(4), pages 261-273, December.
    6. Yafei Li & Meijun Teng & Yanjin Feng & Kumarasamy Sudhakar, 2022. "Research on the Relationship between Beijing-Tianjin-Hebei Airport Group and Regional Coordinated Development," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, July.
    7. Ahn, Young-Hyo & Min, Hokey, 2014. "Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 12-22.
    8. Zou, Bo & Kafle, Nabin & Chang, Young-Tae & Park, Kevin, 2015. "US airport financial reform and its implications for airport efficiency: An exploratory investigation," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 66-78.
    9. Zhihai Yang & Dong Wang & Tianyi Du & Anlu Zhang & Yixiao Zhou, 2018. "Total-Factor Energy Efficiency in China’s Agricultural Sector: Trends, Disparities and Potentials," Energies, MDPI, vol. 11(4), pages 1-16, April.
    10. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Inefficiencies and scale economies of European airport operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(5), pages 341-361, September.
    11. Chaouk, Mohammed & Pagliari, Dr Romano & Moxon, Richard, 2020. "The impact of national macro-environment exogenous variables on airport efficiency," Journal of Air Transport Management, Elsevier, vol. 82(C).
    12. Lin, Erwin T.J., 2008. "Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis: A comment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 894-899, September.
    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. Wang, Zhanwei & Song, Woon-Kyung, 2020. "Sustainable airport development with performance evaluation forecasts: A case study of 12 Asian airports," Journal of Air Transport Management, Elsevier, vol. 89(C).
    2. Valdes, Victor & Corzo, Oscar & Canfield, Carlos, 2024. "Airport incentive regulation in practice," Journal of Air Transport Management, Elsevier, vol. 117(C).
    3. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Güner, Samet & İbrahim Cebeci, Halil, 2021. "Multi-period efficiency analysis of major European and Asian airports under fixed proportion technologies," Transport Policy, Elsevier, vol. 107(C), pages 24-42.
    5. Kan Tsui, Wai Hong & Balli, Hatice Ozer & Gilbey, Andrew & Gow, Hamish, 2014. "Operational efficiency of Asia–Pacific airports," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 16-24.
    6. Chaouk, Mohammed & Pagliari, Dr Romano & Moxon, Richard, 2020. "The impact of national macro-environment exogenous variables on airport efficiency," Journal of Air Transport Management, Elsevier, vol. 82(C).
    7. Liu, Dan, 2017. "Evaluating the multi-period efficiency of East Asia airport companies," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 71-82.
    8. Weekx, Simon & Buyle, Sven, 2023. "The effect of airline dominance on airport performance: Empirical evidence from medium-sized European airports," Journal of Air Transport Management, Elsevier, vol. 107(C).
    9. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    10. Myung Je Lee & Changhee Kim, 2018. "A network DEA aeronautical and non-aeronautical production model: an application to South Korea airports," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-12, December.
    11. Güner, Samet & Seçkin Codal, Keziban, 2022. "Endogenous and exogenous sources of efficiency in the management of Turkish airports," Utilities Policy, Elsevier, vol. 76(C).
    12. Tae Hoon Oum & Katsuhiro Yamaguchi & Yuichiro Yoshida, 2011. "Efficiency Measurement Theory and its Application to Airport Benchmarking," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 13, Edward Elgar Publishing.
    13. Güner, Samet & Cebeci, Halil İbrahim & Antunes, Jorge Junio Moreira & Wanke, Peter F., 2021. "Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy," Journal of Air Transport Management, Elsevier, vol. 92(C).
    14. Uludağ, Ahmet Serhat, 2020. "Measuring the productivity of selected airports in Turkey," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    15. Malighetti, G & Martini, G & Paleari, S & Redondi, R, 2009. "The Impacts of Airport Centrality in the EU Network and Inter- Airport Competition on Airport Efficiency," MPRA Paper 17673, University Library of Munich, Germany.
    16. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    17. Mehdi Shamohammadi & Yonghwa Park & Jong Hae Choi & Oh Kyoung Kwon, 2022. "Exploring the Performance of International Airports in the Pre- and Post-COVID-19 Era: Evidence from Incheon International Airport," Sustainability, MDPI, vol. 14(7), pages 1-22, April.
    18. Murat Kucukvar & Khalel Ahmed Alawi & Galal M. Abdella & Muhammet Enis Bulak & Nuri C. Onat & Melih Bulu & Murat Yalçıntaş, 2021. "A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 89-107, January.
    19. Adler, Nicole & Ülkü, Tolga & Yazhemsky, Ekaterina, 2013. "Small regional airport sustainability: Lessons from benchmarking," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 22-31.
    20. Shojaei, Payam & Seyed Haeri, Seyed Amin & Mohammadi, Sahar, 2018. "Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 4-13.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:15:y:2023:i:2:p:1654-:d:1036067. 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.