Metrika članka

  • citati u SCindeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[=>]
  • posete u poslednjih 30 dana:4
  • preuzimanja u poslednjih 30 dana:2
članak: 7 od 31  
Back povratak na rezultate
Tehnika
2017, vol. 72, br. 3, str. 403-410
jezik rada: engleski
vrsta rada: izvorni naučni članak
objavljeno: 22/06/2017
doi: 10.5937/tehnika1703403K
Creative Commons License 4.0
Ocena efikasnosti evropskih železničkih kompanija - primena dvostepene analize
Univerzitet u Beogradu, Saobraćajni fakultet

e-adresa: m.kapetanovic@sf.bg.ac.sr

Projekat

Upravljanje kritičnom infrastrukturom za održivi razvoj u poštanskom, komunikacionom i železničkom sektoru Republike Srbije (MPNTR - 36022)

Sažetak

Cilj ovog rada je ocena efikasnosti železničkih kompanija iz većeg dela Evrope, tokom najskorijeg vremenskog perioda, analizirajući različite ulazno-izlazne konfiguracije modela. Primenjena je dvostepena analiza, gde su u prvoj fazi ocene efikasnosti dobijene pomoću DEA metode, dok su u drugoj fazi sprovedeni različiti statistički testovi, kao i Tobit analiza, sa ciljem ocene uticaja različitih egzogenih faktora na nivo efikasnosti. Rezultati su pokazali da su železničke kompanije orijentisane ili na putnički ili teretni prevoz, uz samo nekoliko kompanija sa visokim performansama u oba vida. Kompanije iz Zapadne Evrope pokazale su bolje performanse od kompanija iz Centralne i Istočne Evrope kada je reč o putničkom i ukupnom saobraćaju, dok su rezultati suprotni kada se posmatra samo teretni prevoz. Osim nekoliko kompanija, ne postoje jasni trendovi tokom posmatranog perioda, u vidu konstantnog poboljšanja ili smanjenja nivoa efikasnosti. Identifikovan je visok uticaj izbora ulazno-izlaznih faktora.

Ključne reči

Reference

Affuso, L., Alvaro, A., Pollitt, M. (2002) Measuring the efficiency of Britian's privatized train operating companies. London Business School, Regulation Initiative Discussion Paper Series, No. 48
Andrejić, M., Bojović, N., Kilibarda, M. (2013) Benchmarking distribution centres using Principal Component Analysis and Data Envelopment Analysis: A case study of Serbia. Expert Systems with Applications, 40(10): 3926-3933
Banker, R.D., Charnes, A., Cooper, W.W. (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30 (9): 1078-1092
Bojović, N., Milenković, M., Kapetanović, M., Knežević, N. (2016) Innovations impact on efficiency of European railway companies. Management: Journal for Theory and Practice Management, vol. 21, br. 79, str. 13-25
Charnes, A., Cooper, W.W., Rhodes, E. (1978) Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 6, 429-444
Coelli, T., Perelman, S. (2000) Technical efficiency of European railways: a distance function approach. Applied Economics, 32(15): 1967-1976
Daraio, C., Simar, L. (2005) Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach. Journal of Productivity Analysis, 24(1): 93-121
de Jorge, J., Suarez, C. (2003) Has the efficiency of European railway companies been improved?. European Business Review, 15(4): 213-220
de Jorge‐Moreno, J., Garcia‐Cebrian, L.I. (1999) Measuring of production efficiency in the European railways. European Business Review, 99(5): 332-344
Farrell, M.J. (1957) The measurement of productive efficiency. Journal of Royal Statistical Society: Series A, 120 (3): 253-290
Greene, W.H. (1997) Econometric analysis. New Jersey: Prentice Hall, 3rd edn
Hilmola, O.P. (2008) Railway efficiency analysis from larger Europe during the period 1994 2003. International Journal of Operational Research, 3(3): 255
Hilmola, O. (2007) European railway freight transportation and adaptation to demand decline. International Journal of Productivity and Performance Management, 56(3): 205-225
Kráľ, P., Roháčová, V. (2013) Measuring the efficiency of public road transport companies in the Slovak Republic using DEA and SFA. Statistika: Statistics and Economy Journal, Vol. 93, No. 2, pp. 76-85
Kutlar, A., Kabasakal, A., Sarikaya, M. (2013) Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis. Quality & Quantity, 47(6): 3575-3602
Mawson, P., Carlaw, K.I., Mclellan, N. (2003) Productivity measurement: Alternative approaches and estimates. Treasury Working Paper, New Zealand, 03/12
Merkert, R., Smith, A., Nash, C. (2009) The institutional, environmental and transactional factors on train operating company performance: A Tobit regression approach based on DEA efficiency scores. u: European Transport Conference, Noordwijkerhout, Netherlands
Nashand, A.S.J., Nash, C.A. (2010) Benchmarking of train operating firms: A transaction cost efficiency analysis. Transp. Plan. Technol, Vol. 33, No. 1, pp. 35-53
Oum, T.H., Yu, C. (1994) Economic efficiency of railways and implications for public policy. Journal of Transport Economics and Policy, 28/ str. 121-138
Yu, M. (2008) Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world's railways through NDEA analysis. Transportation Research Part A: Policy and Practice, 42(10): 1283-1294
Yu, M., Lin, E.T.J. (2008) Efficiency and effectiveness in railway performance using a multi-activity network DEA model. Omega, 36(6): 1005-1017