IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpio/0412010.html
   My bibliography  Save this paper

Efficiency of Delhi International Airport Using Data Envelopment

Author

Listed:
  • Somesh Kumar Mathur

    (Jamia Millia Islamia Central University ,New Delhi)

Abstract

We work out the efficiency index of the Delhi Airport using monthly data(March 2000 through July 2004) of international and total traffic of aircraft's, passengers & cargo movements . The study compares the Delhi Airport technical efficiency index with the efficiency indexes of some selected domestic airports of India in 2000-01.The study uses data envelopment analysis for working out the technical efficiency using data on aircraft movements(output of the airport) and passenger movements and cargo traffic( both inputs to aircraft movements) .The airport production frontier at each point in time is constructed using deterministic, nonparametric (mathematical programming) methods (essentially, finding the smallest convex cone enveloping the data) and efficiency is measured as the (output-based) distance from the frontier. We find technical efficiency scores are higher based on time series evidence while they are quite low if we use cross sectional evidence of some selected domestic airports.The latter evidence favors privatization of the Delhi Airport. We study the impact of foreign direct investment/index of production, reserves/index of production, trade openness/index of production and terrorist attack on September 2001 on Twin Towers on the efficiency index of the Delhi International airport.While the first three variables have no significant impact on the efficiency index ,the terrorist act on September 2001 had a significant detrimental impact on passenger traffic and efficiency of the Delhi International Airport. However, Aircraft movements is significantly impacted by Foreign Investment/Index of Production (FI/IP) ,Reserves/Index of Production(R/IP) and dummy variable(D) of terrorist attack.The above results confirm that foreign direct investment and foreign exchange reserves could be used to upgrade air navigation system so that the Delhi Airport can have larger movements of aircraft's originating from Delhi International Airport.This could bring more revenues for the airport.The regression results also confirm that efficiency has more to do with efficient management and corporatization of airports rather than funding alone.The Airport Authority of India need to inculcate the spirit of professionalization in their day to day operations. The study also discusses various models of privatization and examines the benefits and costs of each one of them .The study gives framework of an efficient regulatory framework for the Airports in India.Given the limitations in India’s airport infrastructure, a more suitable method of privatization seems to be to introduce “competition for the market” in airport services, where an existing airport is given on a concession(long term leasing), through a competitive bidding process( as is done for Delhi ,Mumbai,Kolkata and Chennai airports). However, this essentially represents a case of a public monopoly being turned over to the private sector, and regulation is important to ensure that the private sector does not gouge airlines and passengers

Suggested Citation

  • Somesh Kumar Mathur, 2004. "Efficiency of Delhi International Airport Using Data Envelopment," Industrial Organization 0412010, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpio:0412010
    Note: Type of Document - doc; pages: 30
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/io/papers/0412/0412010.doc.gz
    Download Restriction: no
    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/io/papers/0412/0412010.pdf
    Download Restriction: no
    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/io/papers/0412/0412010.ps.gz
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    2. Kneip, Alois & Park, Byeong U. & Simar, Léopold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(6), pages 783-793, December.
    3. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    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. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Somesh Kumar Mathur, 2005. "Growth Accounting for Some Selected Developing, Newly Industrialized and Developed Nations from 1966-2000: A Data Envelopment Analysis," GE, Growth, Math methods 0510009, University Library of Munich, Germany.
    3. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    5. Caitlin O’Loughlin & Léopold Simar & Paul W. Wilson, 2023. "Methodologies for assessing government efficiency," Chapters, in: António Afonso & João Tovar Jalles & Ana Venâncio (ed.), Handbook on Public Sector Efficiency, chapter 4, pages 72-101, Edward Elgar Publishing.
    6. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2015. "When Bias Kills The Variance: Central Limit Theorems For Dea And Fdh Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 31(2), pages 394-422, April.
    7. Shiu, Alice & Zelenyuk, Valentin, 2009. "Production Efficiency versus Ownership: The Case of China," MPRA Paper 23760, University Library of Munich, Germany, revised 22 Mar 2010.
    8. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    9. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2008. "Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 461-492, August.
    10. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    11. Robert G. Chambers & Simone Pieralli, 2020. "The Sources of Measured US Agricultural Productivity Growth: Weather, Technological Change, and Adaptation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1198-1226, August.
    12. Robert G. Chambers & Simone Pieralli & Yu Sheng, 2020. "The Millennium Droughts and Australian Agricultural Productivity Performance: A Nonparametric Analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1383-1403, October.
    13. Fukuyama, Hirofumi & Shiraz, Rashed Khanjani, 2015. "Cost-effectiveness measures on convex and nonconvex technologies," European Journal of Operational Research, Elsevier, vol. 246(1), pages 307-319.
    14. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    15. Alois Kneip & Léopold Simar & Paul W. Wilson, 2016. "Testing Hypotheses in Nonparametric Models of Production," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 435-456, July.
    16. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.
    17. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
    18. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    19. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    20. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.

    More about this item

    Keywords

    Data Envelopment Analysis; Technical Efficiency; Privatization ; Regulation;
    All these keywords.

    JEL classification:

    • L - Industrial Organization

    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:wpa:wuwpio:0412010. 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: EconWPA The email address of this maintainer does not seem to be valid anymore. Please ask EconWPA to update the entry or send us the correct address (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.