IDEAS home Printed from https://ideas.repec.org/p/rsm/climte/c09_1.html

Agriculture and global climate stabilization: a public good analysis

Author

Listed:
  • John Quiggin

    (Department of Economics, University of Queensland)

Abstract

The stabilization of global climate presents one of the most complex problems in public good provision the world has faced. Continuation of ‘business as usual’ policies, leading to warming of more than 2 degrees over the next year, will produce significant damage to agricultural systems and catastrophic damage to the natural ecosystems that ultimately support agriculture. The best solution to the public goods problem is a ‘contract and converge’ agreement in which the ultimate outcome is a common global entitlement to CO2 emissions per person.

Suggested Citation

  • John Quiggin, 2009. "Agriculture and global climate stabilization: a public good analysis," Climate Change Working Papers WPC09_1, Risk and Sustainable Management Group, University of Queensland.
  • Handle: RePEc:rsm:climte:c09_1
    as

    Download full text from publisher

    File URL: http://www.uq.edu.au/rsmg/WP/WPC09_01.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Oladipo S. Obembe & Nathan P. Hendricks, 2022. "Marginal cost of carbon sequestration through forest afforestation of agricultural land in the southeastern United States," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 59-73, November.
    3. Laure Bamière & Pierre‐Alain Jayet & Salomé Kahindo & Elsa Martin, 2021. "Carbon sequestration in French agricultural soils: A spatial economic evaluation," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 301-316, March.
    4. Irtiqa Malik & Muneeb Ahmed & Yonis Gulzar & Sajad Hassan Baba & Mohammad Shuaib Mir & Arjumand Bano Soomro & Abid Sultan & Osman Elwasila, 2023. "Estimation of the Extent of the Vulnerability of Agriculture to Climate Change Using Analytical and Deep-Learning Methods: A Case Study in Jammu, Kashmir, and Ladakh," Sustainability, MDPI, vol. 15(14), pages 1-25, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:rsm:climte:c09_1. 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: David Adamson The email address of this maintainer does not seem to be valid anymore. Please ask David Adamson to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/rsmuqau.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.