The Weakest Link Hypothesis For Adaptive Capacity: An Empirical Test
Yohe and Tol (2001) built an indexing method for vulnerability based on the hypothesis that the adaptive capacity for any system facing a vector of external stresses could be explained by the weakest of eight underlying determinants – the so-called “weakest link” hypothesis. Subsequent work supported the hypothesis by analogy from other contexts, but we now offer perhaps the first attempt to explore its validity through empirical means. We estimate a structural form designed to accommodate the full range of possible interactions across determinants. The perfect complement case of the pure “weakest-link” formulation lies on one extreme, and the perfect substitute case where each determinant can compensate for all others at constant rates is the other limiting case. For vulnerability to natural disasters, infant mortality and drinking water treatment, we find qualified support for a modified weakest link hypothesis: the weakest indicator plays an important role, but is not essential because other factors can compensate (with increasing difficulty). For life expectancy, sanitation and nutrition, we find a relationship that is close to linear – the perfect substitute case where the various determinants of adaptive capacity can compensate for each other. Moreover, we find another source of diversity in the assessment of vulnerability, since the factors from which systems draw to create adaptive capacity are different for different risks.
|Date of creation:||Jan 2006|
|Date of revision:||Jan 2006|
|Publication status:||Published, Global Environmental Change, 17, 218-227|
|Contact details of provider:|| Postal: Bundesstrasse 55, 20146 Hamburg|
Phone: +49 40 42838 6593
Fax: +49 40 42838 7009
Web page: http://www.fnu.zmaw.de/
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.:
- Gary W. Yohe & Richard S.J. Tol, 2001. "Indicators for Social and Economic Coping Capacity – Moving Toward at Working Definition of Adaptive Capacity," Working Papers FNU-8, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2001.
- Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004.
"Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach,"
American Economic Review,
American Economic Association, vol. 94(4), pages 813-835, September.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," NBER Working Papers 7750, National Bureau of Economic Research, Inc.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
- Scott Rozelle & Johan F.M. Swinnen, 2004. "Success and Failure of Reform: Insights from the Transition of Agriculture," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 404-456, June.
- repec:rus:hseeco:70719 is not listed on IDEAS
- L. Alan Winters & Neil McCulloch & Andrew McKay, 2004. "Trade Liberalization and Poverty: The Evidence So Far," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 72-115, March.
When requesting a correction, please mention this item's handle: RePEc:sgc:wpaper:97. 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: (Uwe Schneider)
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.