NDLI: Influencing factors of households disadvantaged in post-earthquake life recovery: a case study of the Wenchuan earthquake in China

Content Provider	Springer Nature Link
Author	Wang, Ying Zou, Zhenhua Li, Juan
Copyright Year	2014
Abstract	Post-disaster recovery plans and policies can be better made after understanding which households are in the greatest need of help and support in post-disaster life recovery. In this study, we analyzed influencing factors of households with a disadvantaged status of life recovery, which could then be used as indicators for detecting households in urgent need of help at the beginning of post-disaster recovery. Based on life recovery field survey data from the 2008 Wenchuan earthquake, we found 81 disadvantaged households, identified by the fact that they lagged behind in the post-earthquake life recovery process. Using logit regression, we analyzed the influencing factors of disadvantaged households that may distinguish them from more prosperous ones. The results showed that the lower economic status, longer duration of unemployment, loss of loved ones and the less education are the significant influencing factors of disadvantaged households. Therefore, the poor and unemployed households who are less educated and suffered the trauma of losing loved ones should be made a priority in post-disaster recovery planning and policy making in consideration of their disadvantaged status in life recovery.
Starting Page	1853
Ending Page	1869
Page Count	17
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	75
Issue Number	2
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-09-23
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Disadvantaged households Life recovery Earthquake China Natural Hazards Hydrogeology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Civil Engineering Environmental Management
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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