Economic assessment of fare revenue of brazilian metro-rail companies
DOI:
https://doi.org/10.16930/2237-766220233386Keywords:
Economy of scale, Cost function, Metro-rail transportAbstract
Metro-rail transport is fundamental for urban mobility, and there is a recognition of the need for a subsidy so it can operate efficiently from a social point of view. Thus, this research aims to analyze, through cost functions, the economic viability of fare revenue of metro-rail transport companies. Methodologically, eight companies representing 90% of the passengers transported in the Brazilian metro-rail system were used as references for the capture of costs per passenger and estimation of the mean cost functions per Ordinary Least Squares. The results indicate the possibility of gains with better occupation of the scale and level of efficiency. However, these do not enable operations with the fares practiced by public companies. These results shed light on the management of public fare policies, justifying this research.
References
Agasisti, T., & Johnes, G. (2016). Efficiency, costs, rankings, and heterogeneity: the case of US higher education. International Review of Applied Economics, 30, 48-68. DOI: https://doi.org/10.1080/02692171.2015.1070130
Anupriya, G. D. J., Carbo, J.M., Anderson, R. J., & Bassal, P. (2020). Understanding the costs of urban rail transport operations. Transportation Research. Part B: methodological, 138, 292-316. DOI: https://doi.org/10.1016/j.trb.2020.05.019
Arcier, B. F. (2014). Measuring the performance of urban public transport in relation to public policy objectives. Research in Transportation Economics, 48, 67-76. DOI: https://doi.org/10.1016/j.retrec.2014.09.033
Associação Nacional de Transportes Públicos. (2020). Sistema de Informações da Mobilidade Urbana da Associação Nacional de Transportes Públicos – Simob/ANTP. São Paulo.
Ayadi, A., & Hammami, S. (2015). Analysis of the technological features of regional public transport companies: the Tunisian case. Public Transport, 3, 429-455. DOI: https://doi.org/10.1007/s12469-015-0109-4
Bai, Y., Ho, T., Mao, B. (2012). An Incentive Scheme for Equipment Replacement Subsidy in Beijing Metro System. Procedia-Social and Behavioral Sciences, 43, 718-727. DOI: https://doi.org/10.1016/j.sbspro.2012.04.145
Basso, L., & Jara-Díaz, S. (2006). Distinguishing multiproduct economies of scale from economies of density on a fixed-size transport network. Networks and Spatial Economics, 6(2),149-162. DOI: https://doi.org/10.1007/s11067-006-7698-z
Batarce, M., & Galilea, P. (2018). Cost and fare estimation for the bus transit system of Santiago. Transport Policy, 64, 92-101. DOI: https://doi.org/10.1016/j.tranpol.2018.01.002
Besanko, D., & Braeutigam, R.R. (2004). Microeconomia uma abordagem completa. LTC.
Bittencourt, F. S., Brizon, & L. C. (2011, outubro). Transporte metroferroviário: criação de um ambiente favorável ao desenvolvimento urbano sustentável. Congresso Brasileiro de Transporte e Trânsito, Rio de Janeiro, RJ, Brasil, 18.
Bottasso, A., Conti, M., & Vannoni, D. (2019). Scale and (quasi) scope economies in airport technology. An application to UK airports. Transportation research part A: Policy and practice, 125, 150-164. DOI: https://doi.org/10.1016/j.tra.2019.05.013
Cambini, C., Piacenza, M., & Vannoni, D. (2007). Restructuring public transit systems: evidence on cost properties from medium and large-sized companies. Review of Industrial Organization, 31(3),183-203. DOI: https://doi.org/10.1007/s11151-007-9153-9
Carvalho, C. H. R., & Pereira, R. H. M. (2011). Efeitos da variação da tarifa e da renda da população sobre a demanda de transporte público coletivo urbano no Brasil. http://repositorio.ipea.gov.br/bitstream/11058/1282/1/TD_1595.pdf DOI: https://doi.org/10.4237/transportes.v20i1.464
Chattopadhyay, S. (2021). Cost-efficiency in the patient centered medical home model: New evidence from federally qualified health centers. International Journal of Health Economics and Management, 21(3), 295-316. DOI: https://doi.org/10.1007/s10754-021-09295-5
Eaton, B. C., & Eaton, D. F. (1999). Microeconomia. Saraiva.
Fei, S. (2016). Parking versus public transport subsidies: case study of Nanjing, China. Transportation Letters, 8(2), 90-97. DOI: https://doi.org/10.1179/1942787515Y.0000000011
Fernandez, J. E., Cea, J., & Grange, L. (2005). Production costs, congestion, scope and scale economies in urban bus transportation corridors. Transportation Research Part A, 39(5), 383-403. DOI: https://doi.org/10.1016/j.tra.2004.08.003
Frank, R. H. (2013). Microeconomia do comportamento. (8a ed.). AMGH.
Gomez, G. B., Mudzengi, D. L., Bozzani, F., Menzies, N. A., & Vassall, A. (2020). Estimating cost functions for resource allocation using transmission models: a case study of tuberculosis case finding in South Africa. Value in Health, 23(12), 1606-1612. DOI: https://doi.org/10.1016/j.jval.2020.08.2096
Gujarati, D. N. (2006). Econometria Básica. (4a ed.). Campus.
Hörcher, D., & Tirachini, A. (2021). A review of public transport economics. Economics of transportation, 25, 100196. DOI: https://doi.org/10.1016/j.ecotra.2021.100196
Johnston, A., & Ozment. J. (2013). Economies of scale in the US airline industry. Transportation Research Part E, 51, 95-108. DOI: https://doi.org/10.1016/j.tre.2012.09.002
Kiggundu, A. T. (2009). Financing public transport systems in Kuala Lumpur, Malaysia: challenges and prospects. Transportation, 36, 275-294. DOI: https://doi.org/10.1007/s11116-009-9194-z
Klotzki, U., Bohnert, A., Gatzert, N., & Vogelgesang, U. (2018). Economies of scale in European life insurance. The Journal of Risk Finance, 19(2), 190-207. DOI: https://doi.org/10.1108/JRF-03-2017-0055
Koshal, R. K., & Koshal, M. (1995). Quality and economies of scale in higher education. Applied Economics, 27(8), 773-778. DOI: https://doi.org/10.1080/00036849500000068
Link, H. (2006). An econometric analysis of motorway renewal costs in Germany. Transportation research. Part A, Policy and practice, 40(1), 19-34. DOI: https://doi.org/10.1016/j.tra.2005.04.005
Liu, T. (2021). Measuring cost inefficiency: A dual approach. Economic Modelling, 99, 105471. DOI: https://doi.org/10.1016/j.econmod.2021.02.012
Maddala, G. (2003). Introdução à Econometria. LTC.
Martini, G., Scotti, D., Viola, D., & Vittadini, G. (2020). Persistent and temporary inefficiency in airport cost function: An application to Italy. Transportation Research Part A: Policy and Practice, 132, 999-1019. DOI: https://doi.org/10.1016/j.tra.2019.12.016
Mas-Colell, A., Whinston, M. D., & Green, J. R. (1995). Microeconomic theory. Oxford University Press.
Matas, A., & Raymond, J. (1998). Technical characteristics and efficiency of urban bus companies: The case of Spain. Transportation, 25(3), 243-264. DOI: https://doi.org/10.1023/A:1005078830008
Nicholson, W., & Snyder, C. (2018). Teoria Microeconômica: princípios e aplicações. (12a ed.). Cengage.
Obeng, K. (2019). Public transit cost efficiency studies: The impact of non-contracting regulations. Transportation Research Part A: Policy and Practice, 126, 247-258. DOI: https://doi.org/10.1016/j.tra.2019.06.010
Obeng, K., & Sakano, R. (2020). Effects of government regulations and input subsidies on cost efficiency: A decomposition approach. Transport Policy, 91, 95-107. DOI: https://doi.org/10.1016/j.tranpol.2020.03.015
Panarella, P. J. M. (2010). Gestão e mensuração de custos: semelhanças e divergências entre a microeconomia e a contabilidade gerencial. [Dissertação de mestrado, Universidade de São Paulo – USP].
Pezerico, L. A. M. (2002). Sistema de Avaliação de Desempenho no Transporte Urbano: Uma abordagem para o setor metroferroviário. [Dissertação de mestrado, Universidade Federal do Rio Grande do Sul – UFRGS].
Pindyck, R. S., & Rubinfeld, D. L. (2004). Econometria: modelos e previsões. Campus.
Pindyck, R. S., & Rubinfeld, D. L. (2014). Microeconomia. (8a ed.). Makron Books.
Qin, F. (2014). Investigating the in-vehicle crowding cost functions for public transit modes. Hindawi Publishing Corporation Mathematical Problems in Engineering, Article. DOI: https://doi.org/10.1155/2014/502708
Rosa, S. J. (2006). Transporte e exclusão social: a mobilidade da população de baixa renda da Região Metropolitana de São Paulo e trem metropolitano. [Dissertação de mestrado, Universidade de São Paulo – USP].
Ševrović, M., Brčić, D., & Kos, G. (2015). Transportation costs and subsidy distribution model for urban and suburban public passenger transport. Traffic & Transportation, 27, 23-33. DOI: https://doi.org/10.7307/ptt.v27i1.1486
Singh, S. K. (2014). An inquiry into the cost structure of state transport undertakings in India. Transport Policy, 32(8). DOI: https://doi.org/10.1016/j.tranpol.2013.12.003
Tischer, V. (2018). Panorama do transporte ferroviário urbano no Brasil e no mundo. Revista Internacional de Ciências, 8, 62-81, 2018. DOI: https://doi.org/10.12957/ric.2018.31636
Varian, H. R. (1992). Microeconomic Analysis. (3a ed.). Norton& Company.
Varian, H. R. (2015). Microeconomia: uma abordagem moderna. (9a ed.). Campus.
Vasconcellos, E. A., Carvalho. C. H. R., & Pereira, R. H. M. (2011). Transporte e mobilidade urbana. Texto para Discussão Cepal Ipea 34: Transporte e mobilidade urbana. http://repositorio.ipea.gov.br/handle/11058/1373
Vendrúscolo, M. I., & Alves, T. W. (2009). Estudo da economia de escala do setor de telecomunicações móveis do Brasil pós-privatizações. Revista Contabilidade & Finanças, 20(49), 63-78. DOI: https://doi.org/10.1590/S1519-70772009000100005
Vergara-Novoa, C., Sepúlveda-Rojas, J. P., Alfaro, M. D., Soto, P., & Benitez-Fuentes, P. A. (2020). Analysis of revenues, costs and average costs of highway concessions in Chile. Transport Policy, 95, 114-123. DOI: https://doi.org/10.1016/j.tranpol.2019.08.008
Xu, P., Wang, W., & Wei, C. (2018). Economic and Environmental Effects of Public Transport Subsidy Policies: a Spatial CGE Model of Beijing. Hindawi Mathematical Problems in Engineering. DOI: https://doi.org/10.1155/2018/3843281
Wilson, J. H. (1981). A note on scale economies in the savings and loan industry. Business Economics, 45-49.
Ying, J. Q., & Yang, H. (2005). Sensitivity analysis of stochastic user equilibrium flows in a bi-modal network with application to optimal pricing. Transportation research. Part B: methodological, 39(9), 769-795. DOI: https://doi.org/10.1016/j.trb.2003.09.003
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