IDEAS home Printed from https://ideas.repec.org/a/eee/resene/v75y2023ics0928765523000623.html
   My bibliography  Save this article

Gasoline prices, traffic congestion, and carbon emissions

Author

Listed:
  • Pang, Jindong
  • An, Lan
  • Shen, Shulin

Abstract

This paper explores the effect of gasoline prices on traffic congestion and carbon emissions. The international crude oil price is used as an instrumental variable for the gasoline price in Chinese cities. Empirical results show that a ten percent increase in gasoline prices significantly decreases traffic congestion in rush hours by 0.87%. In addition to reducing vehicle kilometers traveled, higher gasoline prices also decrease carbon emissions by increasing travel speed and fuel efficiency. A ten percent increase in gasoline prices is found to decrease CO2 emissions by 40.6 million metric tons, accounting for 2.3% of the total CO2 emissions in the transport sector of China in 2016. This paper's estimates offer guidance for gasoline pricing policies, fuel taxes, traffic congestion, and the Dual-Carbon Target.

Suggested Citation

  • Pang, Jindong & An, Lan & Shen, Shulin, 2023. "Gasoline prices, traffic congestion, and carbon emissions," Resource and Energy Economics, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:resene:v:75:y:2023:i:c:s0928765523000623
    DOI: 10.1016/j.reseneeco.2023.101407
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0928765523000623
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.reseneeco.2023.101407?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Gasoline price; Traffic congestion; Carbon emission; Fuel efficiency;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:eee:resene:v:75:y:2023:i:c:s0928765523000623. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505569 .

    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.