IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212531.html
   My bibliography  Save this paper

A dynamic model to analyze the sustainability of extensive common-pasture-based livestock husbandry in Sahel

Author

Listed:
  • Niemi, Jarkko
  • Hyytiainen, Kari
  • Camara, Astou
  • Fall, Cheick
  • Msangi, Siwa

Abstract

Semi-arid regions in the Sahel have faced increasing environmental pressure due to population growth and decreasing rainfall. Building on earlier research we develop a stochastic dynamic programming model that describes extensive, common-pasture-based livestock under stochastic and spatially varying weather. We extend previous research by allowing animals’ movements between two regions and allow decisions to be adjusted when new information about the weather arrives. Decision rules to sell and move animals under exogenous price, market and climate scenarios are investigated. Our numerical analysis demonstrates that in the absence of efficient feed markets and under unpredictable weather, transhumance can be a rational livestock management strategy. Increased frequency of extreme weather conditions, such as heavy drought or rainfall, can have cross-regional spillovers and larger impacts on livestock husbandry than gradual changes in the mean annual rainfall or temperature suggest. Hence, policies should aim at mitigating the negative consequences of extreme weather across regions.

Suggested Citation

  • Niemi, Jarkko & Hyytiainen, Kari & Camara, Astou & Fall, Cheick & Msangi, Siwa, 2015. "A dynamic model to analyze the sustainability of extensive common-pasture-based livestock husbandry in Sahel," 2015 Conference, August 9-14, 2015, Milan, Italy 212531, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212531
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/record/212531/files/Niemi-A%20dynamic%20model%20to%20analyze%20the%20sustainability%20of%20extensive%20common-pasture-based%20livestock%20husbandry-977.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hans‐Peter Weikard & Lars Hein, 2011. "Efficient versus Sustainable Livestock Grazing in the Sahel," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 153-171, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Environmental Economics and Policy; Livestock Production/Industries;

    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:ags:iaae15:212531. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/iaaeeea.html .

    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 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.

    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.