Assessing productive efficiency in Nigerian airports using Fuzzy-DEA

Transport Policy

Volumn 49, Issue , 2016, Pages 9-19

  Wanke, Peter ^a   Barros, C P ^b   Nwaogbe, Obioma R ^c  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b UNIVERSITY OF LISBON   (Portugal)

^c FEDERAL UNIVERSITY OF TECHNOLOGY   (Nigeria)

Author keywords

Airports; Bootstrap; Fuzzy DEA; Nigeria; Truncated regression; level based approach

Indexed keywords

AIR TRANSPORTATION; AIRPORT; BOOTSTRAPPING; EFFICIENCY MEASUREMENT; FUZZY MATHEMATICS; PERFORMANCE ASSESSMENT; PRIVATIZATION; TRANSPORTATION PLANNING;

NIGERIA;

EID: 84961619725     PISSN: 0967070X     EISSN: 1879310X     Source Type: Journal    
DOI: 10.1016/j.tranpol.2016.03.012     Document Type: Article

References (78)

1. Adler N., Berechman J. Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis. Transp. Policy 2001, 8(3):171-181.
2. Alana L.A., Barros C.P., Araujo Aircraft accidents in Brazil. Int. J. Sustain. Transp. 2011, 6(2):111-126.
3. Arunraj N.S., Mandal S., Maiti J. Modeling uncertainty in risk assessment: an integrated approach with fuzzy set theory and Monte Carlo simulation. Accid. Anal. Prev. 2013, 55:242-255.
4. Ayodele, S., 2009. 49 Years after Independence: Nigeria's Aviation still undeveloped, Businessday, October 01.
5. Balogun, F., 2008. Walking the Autonomy Path, The news, June 23.
6. Barros C.P. Technical change and productivity growth in airports: a case study. Transp. Res. A 2008, 42(5):818-832.
7. Barros C.P. Airports in Argentina: Technical efficiency in the context of an economic crisis. J. Air Transp. Manag. 2008, 14(6):315-319.
8. Barros C.P. The Measurement of Efficiency of UK airports using a Stochastic Latent Front. Transp. Rev. 2009, 29(4):479-498.
9. Barros C.P. Airports and tourism in Mozambique. Tour. Manag. 2014, 41:76-82.
10. Barros C.P., Dieke P.U.K. Performance evaluation of Italian airports: A data envelopment analysis. J. Air Transp. Manag. 2007, 3(4):184-191.
11. Barros C.P., Dieke P.C. Measuring the economic efficiency of airports: a Simar-Wilson methodology analysis. Transp. Res. E 2008, 44(6):1039-1051.
12. Barros C.P., Managi S., Yoshida Y. Heterogeneity in the technical efficiency in Japanese Airports. Singap. Econ. Rev. 2011.
13. Barros C.P., Marques R.S. Performance of Mozambiquean Airports. Regul. Ownersh. Manag. Effic. 2010, 18(1):29-37.
14. Barros C.P., Sampaio A. Technical and Allocative Efficiency of Airports. Int. J. Transp. Econ. 2004, 31(3):355-377.
15. Bazargan M., Vasigh B. Size versus efficiency: a case study of US commercial airports. J. Air Transp. Manag. 2003, 9(3):187-193.
16. Bogetoft P., Otto L. Benchmarking with DEA 2010, Springer, New York.
17. Caggiani L., Ottomanelli M., Dell'Orco M. Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming. Transp. Res. E 2014, 71:159-172.
18. Celik E., Bilisik O.,N., Erdogan M., Gumus A.T., Baracli H. An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transp. Res. E 2013, 58:28-51.
19. Cesaro L., Marongiu S., Arfini F., Donati M., Capelli M.G. Methodology for analysing competitiveness, efficiency and economy of scale - use and applications of DEA. FACEPA Deliverable D5.1.3 (April), accessed at ; 2009. http://www.ekon.slu.se/facepa.
20. Charnes A., Cooper W.W., Rhodes E. Measuring efficiency of decision making units. Eur. J. Oper. Res. 1978, 2(6):429-444.
21. Chen Y.-C., Chiu Y.-H., Huang C.-W., Tu C.-H. The analysis of bank business performance and market risk Applying Fuzzy DEA. Econ. Model. 2013, 32:225-232.
22. Cooper W.W., Li S., Seiford L.M., Thrall R.M., Zhu J. Sensitivity and stability analysis in DEA: some recent developments. J. Prod. Anal. 2001, 15(3):217-246.
23. Curi C., Gitto S., Mancuso P. New evidence on the efficiency of Italian airports: a bootstrapped DEA analysis. Socio-Econ. Plan. Sci. 2011, 45(2):84-93. June.
24. Diana T. Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model. J. Air Transp. Manag. 2010, 16(6):310-314.
25. Performance Measurement with Fuzzy Data Envelopment Analysis. Studies in Fuzziness and Soft Computing 2014, 309. Springer, Berlin. 10.1007/978-3-642-41372-8. A. Emrouznejad, M. Tavana (Eds.).
26. Fernandes E., Pacheco R.R. Efficient use of airport capacity. Transp. Res. A 2002, 26(3):225-238.
27. Gillen D., Lall A. Non-parametric measures of efficiency of US airports. Int. J. Transp. Econ. 1997, 28:283-306.
28. Gillen D., Lall A. Developing measures of airport productivity and performance: an application of data envelopment analysis. Transp. Res. E 2001, 33:261-273.
29. Gitto S., Mancuso.P. Bootstrapping the Malmquist indexes for Italian airports. Int. J. Prod. Econ. 2012, 135(1):403-411.
30. Guo P., Tanaka H. Decision making based on fuzzy data envelopment analysis, to appear in intelligent decision and policy making support systems 2008, 39-54. Springer, Berlin. D. Ruan, K. Meer (Eds.).
31. Hatami-Marbini A., Emrouznejad A., Tavana M. A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making. Eur. J. Oper. Res. 2011, 214(3):457-472.
32. Hatami-Marbini A., Saati S., Tavana M. Data envelopment analysis with Fuzzy parameters: an interactive approach. Int. J. Oper. Res. Inf. Syst. 2011, 2(3):39-53.
33. Henningsen, A., 2012. Estimating Censored Regression Models in R using the censReg Package. Available at: 〈〉. https://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf.
34. Kao C., Liu S.T. Fuzzy efficiency measures in data envelopment analysis. Fuzzy Sets Syst. 2000, 113(3):427-437.
35. Kao C., Liu S.T. Data envelopment analysis with missing data: an application to University libraries in Taiwan. J. Oper. Res. Soc. 2000, 51(8):897-905.
36. Kuo M.-S. A novel interval-valued fuzzy MCDM method for improving airlines' service quality in Chinese cross-strait airlines. Transp. Res. Part E: Logist. Transp. Rev. 2011, 47(6):1177-1193.
37. Lam S.W., Low J.M.W., Tang L.C. Operational efficiencies across Asia Pacific airports. Transport. Res. Part E: Log. Transport.Rev. 2009, 45(4):654-665.
38. Lampe H.W., Hilgers D. Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA. Eur. J. Oper. Res. 2015, 240(1):1-21.
39. Lertworasirikul S., Fang S.-C., Joines J.A., Nutt H.L.W. Fuzzy data envelopment analysis: a possibility approach. Fuzzy Sets Syst. 2003, 139:379-394.
40. Lin L.C., Hong C.H. Operational Performance Evaluation of International Major Airports: An Application of Data Envelopment Analysis. J. Air Transp. Manag. 2006, 12(6):342-351.
41. Liu S.T. A fuzzy DEA/AR approach to the selection of flexible manufacturing system. Comput. Ind. Eng. 2008, 54:66-76.
42. Marques R.C., Simões P. Measuring the influence of congestion on efficiency in worldwide airports. J. Air Transp. Manag. 2010, 16(6):334-336.
43. Martín J.C., Román C. A benchmarking analysis of Spanish commercial airports. A comparison between SMOP and DEA ranking methods. Netw. Spat. Econ. 2006, 6:111-134.
44. Nwaogbe Obioma, R., Ogwude, I.C., Barros, C.P., 2015. An Assessment of Productivity and Efficiency in Nigerian Airports Using Data Enverlopment Analysis, In: Proceedings of the 19th Air Transport Research Society (ATRS) World Conference. Singapore 2-5 July 2015.
45. Nwaogbe Obioma R., Wokili H., Omoke V., Asiegbu B. An Analysis of the impact of air transport sector to economic development in Nigeria. IOSR J. Bus. Manag. 2013, 14(5):41-48. 10.9790/487X-1454148.
46. Pacheco R.R., Fernandes E., Santos M.P.S. Management style and airport performance in Brazil. J. Air Transp. Manag. 2006, 12(6):324-330.
47. Perelman S., Serebrisky T. Measuring the Technical Efficiency of Airports in Latin America. Policy Res. Work. Pap. 2010, 5339. 10.1596/1813-9450-5339.
48. Quattrone A., Vitetta A. Random and Fuzzy utility models for road route choice. Transp. Res. E 2011, 47(6):1126-1139.
49. Ray S.C. A one-step procedure for returns to scale classification of decision making units in data envelopment analysis, working paper 2010-07. Available at ; 2010. http://www.econ.uconn.edu/.
50. Saati S., Memariani A., Jahanshahloo G.R. Efficiency analysis and ranking of DMUs with fuzzy data. Fuzzy Optim. Decis. Mak. 2002, 1:255-267.
51. Sarkis J. Operational efficiency of major US airports. J. Oper. Manag. 2000, 18:335-351.
52. Selim H., Araz C., Ozkarahan I. Collaborative production-distribution planning in supply chain: A fuzzy goal programming approach. Transp. Res. Part E: Logist. Transp. Rev. 2008, 44(3):396-419.
53. Sengupta J.K. Measuring efficiency by a fuzzy statistical approach. Fuzzy Sets Syst. 1992, 46(1):73-80.
54. Shadare, W. (2009). Airports Concession: The Changing nature of Nigerian Airports, Guardian July 3.
55. Sheu J.B. A hybrid fuzzy-based approach for identifying global logistics strategies. Transp. Res. E 2004, 40(1):39-61.
56. Simar L., Wilson P.W. Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Manag. Sci. 1998, 44(1):49-61.
57. Simar L., Wilson P.W. A general methodology for bootstrapping in nonparametric frontier models. J. Appl. Stat. 2000, 27(6):779-802.
58. Simar L., Wilson P.W. Performance of the bootstrap for DEA estimators and iterating the principle. Handbook on data envelopment analysis 2004, 265-298. Kluwer International Series, Boston. W.W. Cooper, L.M. Seiford, J. Zhu (Eds.).
59. Simar L., Wilson P.W. Estimation and inference in two-stage, semi-parametric models of production processes. J. Econ. 2007, 136(1):31-64.
60. Soleimani-damaneh M., Jahanshahloo G.R., Abbasbandy S. Computational and theoretical pitfalls in some current performance measurement techniques and a new approach. Appl. Math. Comput. 2006, 181(2):1199-1207.
61. Suzuki, S., Nijkamp, P., 2011. A stepwise efficiency improvement DEA model for airport operations with fixed production factors. Paper presented at the ERSA Congress. Available at: 〈〉 (accessed 18.04.13). http://ideas.repec.org/p/wiw/wiwrsa/ersa11p1065.html#biblio.
62. Suzuki S., Nijkamp P., Rietveld P., Pels E. A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency. Eur. J. Oper. Res. 2010, 207(2):1104-1115.
63. Tsekeris T. Greek airports: efficiency measurement and analysis of determinants. J. Air Transp. Manag. 2011, 17(3):140-142.
64. Wang W.-K., Lu W.-M., Tsai C.-J. The relationship between airline performance and corporate governance amongst US listed companies. J. Air Transp. Manag. 2011, 17:148-152.
65. Wanke P. Efficiency of Brazil's airports: evidences from bootstrapped DEA and FDH estimates. J. Air Transp. Manag. 2012, 23:47-53.
66. Wanke P. Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: a two-stage network-DEA approach. J. Air Transp. Manag. 2013, 31:1-5.
67. Xu J., Yan F., Li S. Vehicle routing optimization with soft time windows in a fuzzy random environment. Transp. Res. E 2011, 47(6):1075-1091.
68. Yoshida Y., Fujimoto H. Japanese-airport benchmarking with DEA and endogenous-weight TFP methods: testing the criticism of over investment in Japanese regional airports. Transp. Res. E 2004, 40:533-546.
69. Yu M.-M. Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors. J. Air Transp. Manag. 2004, 10(5):295-303.
70. Yu M.M. Assessment of airport performance using the SBM-NDEA model. Omega 2010, 38(6):440-452.
71. Yuen A.C., Zhang A. Effects of competition and policy changes on Chinese airport productivity: An empirical investigation. J. Air Transp. Manag. 2009, 15(4):166-174.
72. Zadeh L. Fuzzy sets. Inf. Control 1965, 8(3):109-141.
73. Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Inf. Control 1965, 9:338-353.
74. Zadeh L. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1978, 1(1):3-28.
75. Zarepisheh M., Khorram E., Jahanshahloo G.R. Returns to scale in multiplicative models in data envelopment analysis. Ann. Oper. Res. 2010, 173(1):195-206.
76. Zerafat Angiz L., Emrouznejad M., Mustafa, A.A. Fuzzy assessment of performance of a decision making units using DEA: a non-radial approach. Expert Syst. Appl. 2010, 37(7):5153-5157.
77. Zimmermann H.J. Fuzzy Set Theory and its Applications 1996, Kluwer-Nijhoff Publishing, Boston. 3rd ed.
78. Zhu J. Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets and DEA Excel solver 2003, 2003. Springer, New York.