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Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta Regression approach

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  • Wanke, Peter
  • Barros, C.P.
  • Figueiredo, Otávio

Abstract

The performance of urban transportation modes is a critical issue for people's mobility. This research analyses various transportation modes in 285 cities across the world from 2009 to 2012, exploring efficiency levels with a focus on productive capacity slacks. The idea is to better apprehend the resilience of different transport modes in terms of absorbing demand shocks, shedding some light not only in terms of the intrinsic characteristics of each mode but also on the demographic context. A novel approach derived from a two-stage combination of Stochastic Data Envelopment Analysis (SDEA) and Beta Regression was used to support the findings, which indicate the concentration of productive slacks on heavy metro and the need of specific solutions for mid-sized cities. Policy implications are then derived.

Suggested Citation

  • Wanke, Peter & Barros, C.P. & Figueiredo, Otávio, 2016. "Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta Regression approach," Utilities Policy, Elsevier, vol. 41(C), pages 31-39.
    • Handle: RePEc:eee:juipol:v:41:y:2016:i:c:p:31-39
    DOI: 10.1016/j.jup.2016.04.007
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    as
    1. Jain, Priyanka & Cullinane, Sharon & Cullinane, Kevin, 2008. "The impact of governance development models on urban rail efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1238-1250, November.
    2. 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.
    3. Adler, Nicole & Berechman, Joseph, 2001. "Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis," Transport Policy, Elsevier, vol. 8(3), pages 171-181, July.
    4. Brida, Juan Gabriel & Deidda, Manuela & Pulina, Manuela, 2014. "Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol," Journal of Transport Geography, Elsevier, vol. 36(C), pages 1-11.
    5. Wu, Desheng (Dash) & Lee, Chi-Guhn, 2010. "Stochastic DEA with ordinal data applied to a multi-attribute pricing problem," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1679-1688, December.
    6. Zhimin Huang & Susan Li, 2001. "Stochastic DEA Models With Different Types of Input-Output Disturbances," Journal of Productivity Analysis, Springer, vol. 15(2), pages 95-113, March.
    7. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
    8. Wan, Zheng & Wang, Xuefeng & Sperling, Daniel, 2013. "Policy and politics behind the public transportation systems of China's medium-sized cities: Evidence from the Huizhou reform," Utilities Policy, Elsevier, vol. 27(C), pages 1-8.
    9. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    10. Cooper, William W. & Deng, H. & Huang, Zhimin & Li, Susan X., 2004. "Chance constrained programming approaches to congestion in stochastic data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 155(2), pages 487-501, June.
    11. Ming-Miin Yu & Chih-Ku Fan, 2006. "Measuring the Cost Effectiveness of Multimode Bus Transit in the Presence of Accident Risks," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(5), pages 383-407, July.
    12. Sueyoshi, Toshiyuki, 2000. "Stochastic DEA for restructure strategy: an application to a Japanese petroleum company," Omega, Elsevier, vol. 28(4), pages 385-398, August.
    13. Olatubi, Williams O. & Dismukes, David E., 2000. "A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance," Utilities Policy, Elsevier, vol. 9(2), pages 47-59, June.
    14. Philippe Gagnepain & Marc Ivaldi, 2002. "Incentive Regulatory Policies: The Case of Public Transit Systems in France," RAND Journal of Economics, The RAND Corporation, vol. 33(4), pages 605-629, Winter.
    15. Lam, Pun-Lee & Shiu, Alice, 2001. "A data envelopment analysis of the efficiency of China's thermal power generation," Utilities Policy, Elsevier, vol. 10(2), pages 75-83, June.
    16. Hadas, Yuval & Ranjitkar, Prakash, 2012. "Modeling public-transit connectivity with spatial quality-of-transfer measurements," Journal of Transport Geography, Elsevier, vol. 22(C), pages 137-147.
    17. Massimiliano Piacenza, 2006. "Regulatory Contracts and Cost Efficiency: Stochastic Frontier Evidence from the Italian Local Public Transport," Journal of Productivity Analysis, Springer, vol. 25(3), pages 257-277, June.
    18. Boame, Attah K., 2004. "The technical efficiency of Canadian urban transit systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(5), pages 401-416, September.
    19. Land, Kenneth C & Lovell, C A Knox & Thore, Sten, 1992. "Productive Efficiency under Capitalism and State Socialism: The Chance-Constrained Programming Approach," Public Finance = Finances publiques, , vol. 47(Supplemen), pages 109-121.
    20. Cubbin, John & Tzanidakis, George, 1998. "Regression versus data envelopment analysis for efficiency measurement: an application to the England and Wales regulated water industry," Utilities Policy, Elsevier, vol. 7(2), pages 75-85, June.
    21. Romano, Giulia & Guerrini, Andrea, 2011. "Measuring and comparing the efficiency of water utility companies: A data envelopment analysis approach," Utilities Policy, Elsevier, vol. 19(3), pages 202-209.
    22. Macharis, Cathy & Pekin, Ethem, 2009. "Assessing policy measures for the stimulation of intermodal transport: a GIS-based policy analysis," Journal of Transport Geography, Elsevier, vol. 17(6), pages 500-508.
    23. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    24. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    25. Gharneh, Naser Shams & Nabavieh, Alireza & Gholamiangonabadi, Davoud & Alimoradi, Mohammad, 2014. "Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants," Utilities Policy, Elsevier, vol. 31(C), pages 114-120.
    26. Thore, Sten, 1987. "Chance-constrained activity analysis," European Journal of Operational Research, Elsevier, vol. 30(3), pages 267-269, June.
    27. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    28. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    29. Turner, Hugh & Windle, Robert & Dresner, Martin, 2004. "North American containerport productivity: 1984-1997," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 339-356, July.
    30. R G Dyson & E A Shale, 2010. "Data envelopment analysis, operational research and uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 25-34, January.
    31. Dieter Gstach, 1998. "Another Approach to Data Envelopment Analysis in Noisy Environments: DEA+," Journal of Productivity Analysis, Springer, vol. 9(2), pages 161-176, March.
    32. Qin, Feifei & Zhang, Xiaoning & Zhou, Qiang, 2014. "Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 89-99.
    33. Welde, Morten & Odeck, James, 2011. "The efficiency of Norwegian road toll companies," Utilities Policy, Elsevier, vol. 19(3), pages 162-171.
    34. Li, Susan X., 1998. "Stochastic models and variable returns to scales in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 104(3), pages 532-548, February.
    35. Khodabakhshi, M., 2009. "Estimating most productive scale size with stochastic data in data envelopment analysis," Economic Modelling, Elsevier, vol. 26(5), pages 968-973, September.
    36. W W Cooper & H Deng & Z Huang & S X Li, 2002. "Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(12), pages 1347-1356, December.
    37. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    38. Viton, Philip A., 1997. "Technical efficiency in multi-mode bus transit: A production frontier analysis," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 23-39, February.
    39. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
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