Sodhi, M. (2016). Natural disasters, the economy and population vulnerability as a vicious cycle with exogenous hazards. Journal of Operations Management, 45, pp. 101-113. doi: 10.1016/j.jom.2016.05.010
- Accepted Version
Restricted to Repository staff only until 30 June 2018.
Available under License : See the attached licence file.
Download (511kB) | Request a copy
Text (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence)
Download (201kB) | Preview
One way to understand the growing impact of disasters is as the output of a positive feedback, or reinforcing, loop. This paper hypothesizes that population vulnerability of a country transforms exogenous hazards to disaster impact for that country, which negatively impacts its economy as measured by per capita income and its growth. This impact in turn increases the vulnerability of the country’s population thus creating a reinforcing loop. Therefore, like the output of any positive feedback loop, disaster impact would grow exponentially. Having analysed data over 50 years (1963-2012) and 179 countries, we find the results to be consistent with this conceptual model. We also find that disaster impact worldwide has indeed grown exponentially over this period even after normalizing for the growing global population and global income. These findings indicate the existence of a feedback loop that requires strategic rethinking about disaster management and development jointly to break this vicious cycle.
|Additional Information:||© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/|
|Uncontrolled Keywords:||Disasters, natural hazards, strategic humanitarian operations, development, country-level analysis, vulnerability|
|Subjects:||G Geography. Anthropology. Recreation > GB Physical geography
H Social Sciences > HD Industries. Land use. Labor
|Divisions:||Cass Business School > Faculty of Management|
Actions (login required)
Downloads per month over past year