The impact of climate variability and change on economic growth and poverty in Zambia:
"We combined a hydro-crop model with a dynamic general equilibrium (DCGE) model to assess the impacts of climate variability and change on economic growth and poverty reduction in Zambia. The hydro-crop model is first used to estimate the impact of climate variability on crop yields over the past three decades and such analysis is done at the crop level for each of Zambia's five agroecological zones, supported by the identification of zonal-level extreme weather events using a drought index analysis. Agricultural production is then disaggregated into these five agroelcological zones in the DCGE model. Drawing on the hydro-crop model results at crop level across the five zones, a series of simulations are designed using the DCGE model to assess the impact of climate variability on economic growth and poverty. We find that climate variability costs the country US$4.3 billion over a 10-year period. These losses reach as high as US$7.1 billion under Zambia's worst rainfall scenario. Moreover, most of the negative impacts of climate variability occur in the southern and central regions of the country, where food insecurity is most vulnerable to climate shocks. Overall, climate variability keeps 300,000 people below the national poverty line by 2016. A similar method is also used to examine the potential impact of climate change on the economy based on projections of a well-known global climate model and two hypothetical scenarios. We find that the effects of current patterns of climate variability dominate over those of potential climate change in the near future (until 2025). Differences in assumptions regarding rainfall changes influence both the size (to a large degree) and direction (to a lesser extent) of the economic impact of climate change. If rainfall declines by 15 percent, then climate change enhances the negative effects of climate variability by a factor of 1.5 and pushes an additional 30,000 people below the poverty line over a 10-year period. Moreover, the effects of climate change and variability compound each other, with the number of poor people rising to 74,000 if climate change is coupled with Zambia's worst 10-year historical rainfall pattern." from authors' abstract
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Postal: 2033 K Street, NW, Washington, DC 20006|
Web page: http://www.ifpri.org/
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.:
- Breisinger, Clemens & Thurlow, James, 2008. "Asian-driven resource booms in Africa: Rethinking the impacts on development," IFPRI discussion papers 747, International Food Policy Research Institute (IFPRI).
- Tsakiris, G. P., 1982. "A method for applying crop sensitivity factors in irrigation scheduling," Agricultural Water Management, Elsevier, vol. 5(4), pages 335-343, December.
- Benin, Samuel & Thurlow, James & Diao, Xinshen & Kalinda, Henrietta & Kalinda, Thomson, 2008. "Agricultural growth and investment options for poverty reduction in Zambia:," IFPRI discussion papers 791, International Food Policy Research Institute (IFPRI).
- James Thurlow & Peter Wobst, 2006. "Not All Growth is Equally Good for the Poor: The Case of Zambia," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 15(4), pages 603-625, December.
When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:890. 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: ()
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.