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Regulatory and Environmental Effects on Public Transit Efficiency. A Mixed DEA-SFA Approach

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Abstract

The aim of this paper is to account for the impact of statistical noise and exogenous regulatory and environmental factors on the efficiency of public transit systems in a DEA-based framework. To this end, we implement a three-stage DEA-SFA mixed approach based on Fried et al. (2002) using a 1993-1999 panel of 42 Italian public transit companies. This allows us to decompose input-specific DEA inefficiency measures into three components: exogenous effects, pure managerial inefficiency, and statistical noise. First, the initial evaluation of producer performance is carried out using conventional variable returns to scale DEA (Banker et al., 1984). Second, a SFA approach (Battese and Coelli, 1992) is used to regress single input slacks on subsidies regulation (cost-plus versus fixed-price contracts) and a set of environmental variables including network speed and user density. Finally, third stage re-runs DEA on inputs purged of both exogenous effects and statistical noise. Results are such that adjusting for the type of regulatory scheme, environmental conditions, and statistical noise increases average efficiency in the industry and reduces dispersion among firms. Furthermore, the implementation of fixed-price subsidies is found to enhance efficiency in the usage of “drivers” and “materials and services” inputs. Such a result sheds some light on the determinants of input-specific efficiency differentials in the industry, improving the existing evidence on mean overall cost efficiency (e.g. Gagnepain e Ivaldi, 2002; Piacenza, 2006). As a policy implication, it is confirmed the relevance of regula tion aimed at replacing cost-plus subsidization mechanisms with high-powered incentive contracts as well as improving operating conditions of public transport networks.

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Bibliographic Info

Paper provided by Institute for Economic Research on Firms and Growth - Moncalieri (TO) in its series CERIS Working Paper with number 200613.

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Length: 25 pages
Date of creation: Dec 2006
Date of revision:
Handle: RePEc:csc:cerisp:200613

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Keywords: Public transit systems; Regulation; Environmental effects; Statistical noise; Data Envelopment Analysis (DEA); Stochastic Frontier Analysis (SFA);

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References

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  1. 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.
  2. Giovanni Fraquelli & Massimiliano Piacenza & Graziano Abrate, 2004. "Regulating Public Transit Networks: How do Urban-Intercity Diversification and Speed-up Measures Affect Firms' Cost Performance?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 75(2), pages 193-225, 06.
  3. Gagnepain, P. & Ivaldi, M., 1998. "Stochastic Frontiers and Asymmetric Information Models," Papers 98.503, Toulouse - GREMAQ.
  4. 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, 06.
  5. DE BORGER, Bruno & KERSTENS, Kristiaan & COSTA, Álvaro, . "Public transit performance: What do we learn from frontier studies?," Working Papers 2000019, University of Antwerp, Faculty of Applied Economics.
  6. Kerstens, K., 1996. "Technical efficiency measurement and explanation of French urban transit companies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 431-452, November.
  7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  8. Cornes,Richard, 1992. "Duality and Modern Economics," Cambridge Books, Cambridge University Press, number 9780521336017.
  9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Dalen, Dag Morten & Gomez-Lobo, Andres, 1997. "Estimating cost functions in regulated industries characterized by asymmetric information," European Economic Review, Elsevier, vol. 41(3-5), pages 935-942, April.
  15. C. Cambini & M. Filippini, 2003. "Competitive Tendering and Optimal Size in the Regional Bus Transportation Industry: An Example from Italy," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 74(1), pages 163-182, 03.
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Citations

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Cited by:
  1. Chen, Kaihua, 2014. "Weighted Additive DEA Models Associated with Dataset Standardization Techniques," MPRA Paper 55072, University Library of Munich, Germany.
  2. Andrea Boitani & Marcella Nicolini & Carlo Scarpa, 2013. "Do competition and ownership matter? Evidence from local public transport in Europe," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1419-1434, April.
  3. Angela Stefania Bergantino & Enrico Musso, 2011. "The role of external factors versus managerial ability in determining seaports’ relative efficiency: An input-by-input analysis through a multi-step approach on a panel of Southern European ports," Maritime Economics and Logistics, Palgrave Macmillan, vol. 13(2), pages 121-141, June.
  4. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2012. "Route-based data envelopment analysis models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 415-425.
  5. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2010. "A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches," European Journal of Operational Research, Elsevier, vol. 201(2), pages 477-489, March.
  6. Wen-Jen Tsay & Cliff J. Huang & Tsu-Tan Fu & I-Lin Ho, 2009. "Maximum Likelihood Estimation of Censored Stochastic Frontier Models: An Application to the Three-Stage DEA Method," IEAS Working Paper : academic research 09-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  7. Cambini Carlo & Filippini Massimo & Piacenza Massimiliano & Vannoni Davide, 2011. "Corporatization and Firm Performance: Evidence from Publicly-Provided Local Utilities," Review of Law & Economics, De Gruyter, vol. 7(1), pages 191-213, July.
  8. Axel Gautier & Anne Yvrande-Billon, 2008. "Contract Renewal as an Incentive Device. An Application to the French Urban Public Transport Sector," CREPP Working Papers 0805, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
  9. Gwilliam, Ken, 2008. "A review of issues in transit economics," Research in Transportation Economics, Elsevier, vol. 23(1), pages 4-22, January.
  10. Simona Bigerna & Paolo Polinori, 2010. "Ambiente operativo ed efficienza nel settore del trasporto pubblico locale in Italia," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2010(3), pages 85-118.
  11. Amaral, Miguel, 2008. "Public vs private management of public utilities - The case of urban public transport in Europe," Research in Transportation Economics, Elsevier, vol. 22(1), pages 85-90, January.
  12. Matthias Walter, 2011. "Some Determinants of Cost Efficiency in German Public Transport," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 45(1), pages 1-20, January.
  13. Bracalente, Bruno & Polinori, Paolo, 2010. "L’efficienza tecnico-economica dei servizi pubblici locali: i casi delle farmacie comunali e dei servizi di igiene urbana
    [Technical And Economic Efficiency Of Local Public Services: The Cases Of
    ," MPRA Paper 34455, University Library of Munich, Germany.
  14. Simona Sanguineti & Alessio Tei, 2012. "L’efficienza delle aziende di Trasporto Pubblico Locale: confronto tra le maggiori realtà italiane," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2012(3), pages 359-377.

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