The Impact of Climate Change on Yemen's National Stability

DOI

10.2991/mecae-18.2018.35How to use a DOI?

Keywords

Fuzzy Analytic Hierarchy Process (FAHP), Sensitivity test, FDS

Abstract

In this paper, we have developed an FDS that is a measure of national vulnerability. From the FDS, we can judge whether the fragile state of the country is fragile or vulnerable or stable. We use Fuzzy Analytic Hierarchy Process (FAHP) to construct an evaluation model to evaluate the vulnerability and measure the impacts of climate change. We select vulnerability as a primary indicator, economy, politics and society as secondary indicators, there are three level three indicators under each level indicator. Correlation between vulnerability and climate is obtained by the correlation coefficient method to conclude that climate is indirectly affected by the vulnerability. Climate change indirectly affects the vulnerability of a country through its impact on three-level indicators, such as per capita GDP and per capita resources. We found that climate change exacerbated the country's vulnerability by affecting GDP per capita, unemployment rate, CPI, per capita resources and peace index. We came to the conclusion by calculating: FDS affected by climate is greater than FDS that is not affected by climate in the same period, or that if Yemen is not affected by climate, its vulnerability will be reduced.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bojian Zhang
PY  - 2018/03
DA  - 2018/03
TI  - The Impact of Climate Change on Yemen's National Stability
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.35
DO  - 10.2991/mecae-18.2018.35
ID  - Zhang2018/03
ER  -