IDEAS home Printed from https://ideas.repec.org/p/cop/wpaper/g-339.html
   My bibliography  Save this paper

Economic impacts of low-carbon transport strategies for Jordan

Author

Listed:
  • Philip Adams
  • Louise Roos

Abstract

Greenhouse gas emissions in Jordan come primarily from the combustion of refined oil products in transport. Hence, plans to reduce emissions focus primarily on the transport sector. These plans, often detailed from a technological point of view, seldom present reasoned economic measures of likely consequences. This paper provides an assessment of the likely economic costs and benefits for Jordan of two typical schemes to reduce the environmental effects of transport. Both relate to the delivery of passenger services. The first is to encourage the uptake of Battery Electric Vehicles (BEVs) at the expense of Internal Combustion Vehicles (ICVs) and, to a lesser extent, hybrid vehicles. The second is to invest in new public transport infrastructure -- phase 2 of the Bus Rapid Transport system -- assisting to reduce the use of private vehicles principally in urban areas. The analysis is based on scenarios to 2050 constructed using a large model of Jordan's economy, named JorGE. JorGE is calibrated to data for 2020 and has a detailed industrial classification. That classification recognizes electricity produced by several different conventional fossil fuel and renewable technologies and a number of road transport service industries. The road transport industries distinguish passenger from freight services. For passenger services there are separate industries producing public transport services and private transport services. The latter is further disaggregated into services provided by the three different passenger vehicle types -- ICVs, EVs and Hybrids.

Suggested Citation

  • Philip Adams & Louise Roos, 2023. "Economic impacts of low-carbon transport strategies for Jordan," Centre of Policy Studies/IMPACT Centre Working Papers g-339, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-339
    as

    Download full text from publisher

    File URL: https://www.copsmodels.com/ftp/workpapr/g-339.pdf
    File Function: Initial version, 2023-04
    Download Restriction: no

    File URL: https://www.copsmodels.com/elecpapr/g-339.htm
    File Function: Local abstract: may link to additional material.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    2. Philip Adams, 2021. "Zero Greenhouse Gas Emissions by 2050: What it means for the Australian Economy, Industries and Regions," Centre of Policy Studies/IMPACT Centre Working Papers g-324, Victoria University, Centre of Policy Studies/IMPACT Centre.
    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. Yoonkyo Cho & Taehwan Kim & Jaewhak Roh, 2021. "An analysis of the effects of electronic commerce on the Korean economy using the CGE model," Electronic Commerce Research, Springer, vol. 21(3), pages 831-854, September.
    2. Philippe Thalmann & Marc Vielle, 2019. "Lowering CO2 emissions in the Swiss transport sector," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-12, December.
    3. Tomoki Ishikura & Fuga Yokoyama, 2022. "Regional economic effects of the Ring Road project in the Greater Tokyo Area: A spatial CGE approach," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 811-837, August.
    4. Anas, Alex & Chang, Huibin, 2023. "Productivity benefits of urban transportation megaprojects: A general equilibrium analysis of «Grand Paris Express»," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    5. Paul J. Burke, 2023. "On the way out: Government revenues from fossil fuels in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(1), pages 1-17, January.
    6. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    7. Proque, Andressa Lemes & Betarelli Junior, Admir Antonio & Perobelli, Fernando Salgueiro, 2022. "Fuel tax, cross subsidy and transport: Assessing the effects on income and consumption distribution in Brazil," Research in Transportation Economics, Elsevier, vol. 95(C).
    8. Ioannis Charalampidis & Panagiotis Karkatsoulis & Pantelis Capros, 2019. "A Regional Economy-Energy-Transport Model of the EU for Assessing Decarbonization in Transport," Energies, MDPI, vol. 12(16), pages 1-27, August.
    9. Tobias Mueller & Steven Gronau, 2023. "Fostering Macroeconomic Research on Hydrogen-Powered Aviation: A Systematic Literature Review on General Equilibrium Models," Energies, MDPI, vol. 16(3), pages 1-33, February.
    10. Sumana Chaudhuri & Shovan Ray & Ganesh-Kumar, 2018. "Integrated Model of Computable General Equilibrium and Social Cost Benefit Analysis of an Indian Oil Refinery: Future Projections and Macroeconomic Effects," Journal of Infrastructure Development, India Development Foundation, vol. 10(1-2), pages 96-125, June.
    11. Alabi, Oluwafisayo & Turner, Karen & Katris, Antonios & Calvillo, Christian, 2022. "Can network spending to support the shift to electric vehicles deliver wider economy gains? The role of domestic supply chain, price, and real wage effects," Energy Economics, Elsevier, vol. 110(C).
    12. Brad Hartman & Harvey Cutler & Martin Shields & Dave Turner, 2021. "The economic effects of improved precipitation forecasts in the United States due to better commuting decisions," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2149-2171, December.
    13. Le, Henry & Gurry, Finn & Lennox, James, 2023. "An application of land use, transport, and economy interaction model," Research in Transportation Economics, Elsevier, vol. 99(C).
    14. Joan Halstein, 2020. "Resource sector concessions and spatial development in Southern Africa," WIDER Working Paper Series wp-2020-63, World Institute for Development Economic Research (UNU-WIDER).
    15. Ravanji, Abdolvahab & Lee, Ann & Mohammadpour, Javad & Cheng, Shaokoon, 2023. "Critical review on thermohydraulic performance enhancement in channel flows: A comparative study of pin fins," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    16. Neshat, Mehdi & Sergiienko, Nataliia Y. & Nezhad, Meysam Majidi & da Silva, Leandro S.P. & Amini, Erfan & Marsooli, Reza & Astiaso Garcia, Davide & Mirjalili, Seyedali, 2024. "Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method," Applied Energy, Elsevier, vol. 362(C).
    17. Bartlomiej Rokicki & Eduardo A. Haddad & Jonathan M. Horridge & Marcin Stępniak, 2021. "Accessibility in the regional CGE framework: the effects of major transport infrastructure investments in Poland," Transportation, Springer, vol. 48(2), pages 747-772, April.
    18. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    19. Betarelli, Admir Antonio & Domingues, Edson Paulo & Hewings, Geoffrey John Dennis, 2020. "Transport policy, rail freight sector and market structure: The economic effects in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 1-23.
    20. Alessandro Severino & Larysa Martseniuk & Salvatore Curto & Larysa Neduzha, 2021. "Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

    More about this item

    Keywords

    CGE modelling; electric vehicles (BEV); internal combustion vehicles (ICV); greenhouse gas; public transport;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cop:wpaper:g-339. 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: Mark Horridge (email available below). General contact details of provider: https://edirc.repec.org/data/cpmonau.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.