IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Civil War, Climate Change and Development: A Scenario Study for Sub-Saharan Africa

  • Devitt, Conor
  • Tol, Richard S. J.

We construct a model of development, civil war, and climate change. There are multiple interactions. Economic growth reduces the probability of civil war and the vulnerability to climate change. Climate change increases the probability of civil war. The impacts of climate change, civil war, and civil war in the neighbouring countries reduce economic growth. The model has two potential poverty traps ? a climate-change-induced one and a civil-war-induced one ? and the two poverty traps may reinforce one another. We calibrate the model to Sub-Saharan Africa and conduct a double Monte Carlo analysis accounting for both parameter uncertainty and stochasticity. We find the following. Although we use the SRES scenarios as our baseline, and thus assume rapid economic growth in Africa and convergence of African living standards to the rest of the world, the impact of civil war and climate change (ignored in SRES) are sufficiently strong to keep a number of countries in Africa in deep poverty with a high probability. Other countries enjoy exponential growth; and some countries may either be trapped in poverty or experience rapid growth. The SRES scenarios were wrong to ignore the impact of climate change and civil war on economic development.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.esri.ie/UserFiles/publications/WP351/WP351.pdf
Download Restriction: no

Paper provided by Economic and Social Research Institute (ESRI) in its series Papers with number WP351.

as
in new window

Length:
Date of creation: Sep 2010
Date of revision:
Handle: RePEc:esr:wpaper:wp351
Contact details of provider: Postal: Whitaker Square, Sir John Rogerson's Quay, Dublin 2
Phone: (353-1) 863 2000
Fax: (353-1) 863 2100
Web page: http://www.esri.ie
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Frances Ruane & Xiaoheng Zhang, 2007. "Location Choices of the Pharmaceutical Industry in Europe after 1992," The Institute for International Integration Studies Discussion Paper Series iiisdp220, IIIS.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:esr:wpaper:wp351. 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: (Sarah Burns)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.