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Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies

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  • Marchetti, Dalmo
  • Wanke, Peter

Abstract

This paper uses Data Envelopment Analysis to assess the efficiency of Brazilian rail concessionaires between 2010 and 2014, when new competitive regulations were introduced. In a second stage, a Bootstrap Truncated Regression was used to test the significance of exogenous variables on concessionaire performance: main type of cargo, track gauge, railway operation type (shared infrastructure or monopoly), in order to address an important gap in the literature. Secondary data came from the National Land Transport Agency (ANTT). The findings have significance for broad-gauge track commodities transport, while shared-infrastructure operations had no significance on efficiency, despite regulator incentives. Well directed regulations must encourage concessionaires to increase efficiency, particularly through incentives for agricultural and mineral commodities carried on the broad-gauge track characteristic of North and Center-West Brazil. Public policies designed to boost cluster efficiency are presented, addressing options such as upsizing, downsizing and resizing inputs, restructuring, best management practices and infrastructure upgrades.

Suggested Citation

  • Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
  • Handle: RePEc:eee:soceps:v:59:y:2017:i:c:p:26-42
    DOI: 10.1016/j.seps.2016.10.005
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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Antonio Couto & Daniel Graham, 2008. "The contributions of technical and allocative efficiency to the economic performance of European railways," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 7(2), pages 125-153, August.
    3. Ali Kabasakal & Aziz Kutlar & Murat Sarikaya, 2015. "Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 69-88, March.
    4. Barros, Carlos Pestana & Wanke, Peter, 2015. "An analysis of African airlines efficiency with two-stage TOPSIS and neural networks," Journal of Air Transport Management, Elsevier, vol. 44, pages 90-102.
    5. Yu, Ming-Miin, 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, Elsevier, vol. 42(10), pages 1283-1294, December.
    6. John Dodgson, 2011. "New, disaggregated, British railway total factor productivity growth estimates, 1875 to 1912," Economic History Review, Economic History Society, vol. 64(2), pages 621-643, May.
    7. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    8. Nicholas Crafts & Timothy Leunig & Abay Mulatu, 2008. "Were British railway companies well managed in the early twentieth century?1," Economic History Review, Economic History Society, vol. 61(4), pages 842-866, November.
    9. Aziz Kutlar & Ali Kabasakal & Murat Sarikaya, 2013. "Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3575-3602, October.
    10. Loizides, John & Tsionas, Efthymios G., 2002. "Productivity growth in European railways: a new approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 633-644, August.
    11. Olli‐Pekka Hilmola, 2007. "European railway freight transportation and adaptation to demand decline," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 205-225, March.
    12. 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.
    13. Peter Wanke & Barros, 2015. "Slacks determinants in Brazilian railways: a distance friction minimization approach with fixed factors," Applied Economics, Taylor & Francis Journals, vol. 47(47), pages 5103-5120, October.
    14. Feli X. Shi & Siew Hoon Lim & Junwook Chi, 2011. "Railroad productivity analysis: case of the American Class I railroads," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(4), pages 372-386, April.
    15. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    16. G. Bognetti & R. Fazioli, 1999. "Liberalization problems and prospects in European railways," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 70(2), pages 303-318, June.
    17. Crafts, Nicholas & Mills, Terence C. & Mulatu, Abay, 2007. "Total factor productivity growth on Britain's railways, 1852-1912: A reappraisal of the evidence," Explorations in Economic History, Elsevier, vol. 44(4), pages 608-634, October.
    18. Oum, Tae Hoon & Pathomsiri, Somchai & Yoshida, Yuichiro, 2013. "Limitations of DEA-based approach and alternative methods in the measurement and comparison of social efficiency across firms in different transport modes: An empirical study in Japan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 16-26.
    19. repec:wei:journl:v:4:y:2014:i:2:p:18-40 is not listed on IDEAS
    20. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    21. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    22. Chih Cheng Chen, 2014. "The Efficiency of Freeway Bus Service Industry As Facing The Entrance of High Speed Rail: Taiwan’s Case," Economic Research Guardian, Weissberg Publishing, vol. 4(2), pages 74-96, December.
    23. Graham, Daniel J., 2008. "Productivity and efficiency in urban railways: Parametric and non-parametric estimates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 84-99, January.
    24. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    25. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    26. Jitsuzumi, Toshiya & Nakamura, Akihiro, 2010. "Causes of inefficiency in Japanese railways: Application of DEA for managers and policymakers," Socio-Economic Planning Sciences, Elsevier, vol. 44(3), pages 161-173, September.
    27. Seiford, Lawrence M. & Zhu, Joe, 1999. "An investigation of returns to scale in data envelopment analysis," Omega, Elsevier, vol. 27(1), pages 1-11, February.
    28. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, June.
    29. Bogart, Dan & Chaudhary, Latika, 2013. "Engines of Growth: The Productivity Advance of Indian Railways, 1874–1912," The Journal of Economic History, Cambridge University Press, vol. 73(2), pages 339-370, June.
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