IDEAS home Printed from https://ideas.repec.org/a/cup/endeec/v21y2016i03p350-370_00.html
   My bibliography  Save this article

Patterns of frontier development: a dynamic model of resource extraction in the Brazilian Amazon

Author

Listed:
  • Melstrom, Richard T.
  • Jones, Luke R.
  • Caviglia-Harris, Jill

Abstract

Developing countries are known to exploit their resource frontier to achieve growth objectives and reduce poverty. This can lead to long-term positive outcomes or – if resource exploitation is unsustainable – lose–lose outcomes that leave populations and ecosystems worse off. This paper introduces a dynamic model of resource exploitation to explain how regions may succumb to, avoid or escape this negative outcome. The theoretical model characterizes a frontier community that uses soil as an input into agricultural production. The model shows that there may be a critical point in the soil stock that determines whether agricultural activities lead to sustainable development or a collapse in local income. This suggests that, in the event of a resource collapse, temporary adjustments to the system may permanently rehabilitate the resource base and change a community's development pattern. Calibration of the model to several frontier states of the Brazilian Amazon points toward an overall outcome of steady development.

Suggested Citation

  • Melstrom, Richard T. & Jones, Luke R. & Caviglia-Harris, Jill, 2016. "Patterns of frontier development: a dynamic model of resource extraction in the Brazilian Amazon," Environment and Development Economics, Cambridge University Press, vol. 21(3), pages 350-370, June.
  • Handle: RePEc:cup:endeec:v:21:y:2016:i:03:p:350-370_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1355770X15000303/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no

    More about this item

    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:cup:endeec:v:21:y:2016:i:03:p:350-370_00. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Waters). General contact details of provider: https://www.cambridge.org/ede .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.