IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/332329.html
   My bibliography  Save this paper

Efficient Transport Services – Growth and Environmental Implications Case Study of India

Author

Listed:
  • Chadha, Rajesh
  • Paul, Sourabh Bikas
  • Tandon, Anjali

Abstract

Economic development is becoming increasingly sensitive with regard to environmental implications. Transport sectors – road, rail, air and water – are crucial to the growth and development of an economy. These sectors use heavy inputs of energy from petroleum products, coal and thermal electricity and are subject to various policy distortions including a complex tax regime. The key objective of this paper is to evaluate gains to the economy when the delivery of transport services becomes relatively efficient through removal of tax and other policy distortions. Such an analytical exercise is implemented using a computable general equilibrium (CGE) model of the economy within the framework of input–output flow matrices. The results show that the economy gains through improved efficiency of transport sectors. There are corresponding gains in trade and output. The real returns to the factors of production, viz. land, labour and capital, register increase. Positive scale effects are observed for the manufacturing sectors, particularly for heavy users of transport services. Enhanced efficiency of transport services lowers demand for energy in the economy. The analysis shows that increased efficiency of transport sectors leads to welfare gains in an environment friendly manner.

Suggested Citation

  • Chadha, Rajesh & Paul, Sourabh Bikas & Tandon, Anjali, 2013. "Efficient Transport Services – Growth and Environmental Implications Case Study of India," Conference papers 332329, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332329
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/332329/files/6589.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    2. Miquel-Àngel Garcia-López & Ilias Pasidis & Elisabet Viladecans-Marsal, 2022. "Congestion in highways when tolls and railroads matter: evidence from European cities [The congestion relief benefit of public transit: evidence from Rome]," Journal of Economic Geography, Oxford University Press, vol. 22(5), pages 931-960.
    3. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    4. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    5. Lana Krehic, 2022. "How do increases in electric vehicle use affect urban toll ring prices?," Public Choice, Springer, vol. 193(3), pages 187-209, December.
    6. Kenneth Button & Brien Benson, 2013. "Handling biases in forecasting when making transportation policy," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 4, pages 49-67, Edward Elgar Publishing.
    7. Ian W.H. Parry, 2009. "Pricing Urban Congestion," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 461-484, September.
    8. Button, Kenneth, 2020. "The Transition From Pigou’S Ideas On Road Pricing To Their Application," Journal of the History of Economic Thought, Cambridge University Press, vol. 42(3), pages 417-438, September.
    9. Millner, Antony & Ollivier, Hélène & Simon, Leo, 2014. "Policy experimentation, political competition, and heterogeneous beliefs," Journal of Public Economics, Elsevier, vol. 120(C), pages 84-96.
    10. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    11. Frondel, Manuel, 2019. "Straßennutzungsgebühren: Eine Lösung zur Vermeidung von Staus?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(3), pages 218-225.
    12. Angelo Antoci & Simone Borghesi & Gerardo Marletto, 2012. "To drive or not to drive? A simple evolutionary model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2012(2), pages 31-47.
    13. Björn Hårsman & John M. Quigley, 2010. "Political and public acceptability of congestion pricing: Ideology and self-interest," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 854-874.
    14. De Vos, Jonas, 2016. "Road pricing in a polycentric urban region: Analysing a pilot project in Belgium," Transport Policy, Elsevier, vol. 52(C), pages 134-142.
    15. Rouhani, Omid M. & Knittel, Christopher R. & Niemeier, Debbie, 2014. "Road Supply in Central London: Addition of an Ignored Social Cost," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(1).
    16. André De Palma & Moez Kilani & Michel de Lara & Serge Piperno, 2011. "Cordon pricing in the monocentric city: theory and application to Paris region," Recherches économiques de Louvain, De Boeck Université, vol. 77(2), pages 105-124.
    17. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    18. Daniel Albalate & Germa Bel, 2008. "Shaping urban traffic patterns through congestion charging: What factors drive success or failure?," IREA Working Papers 200801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2008.
    19. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    20. Jansson, Jan Owen, 2008. "Public transport policy for central-city travel in the light of recent experiences of congestion charging," Research in Transportation Economics, Elsevier, vol. 22(1), pages 179-187, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pugtwp:332329. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.