Localized disaster risk management index for the Philippines: Is your municipality ready for the next disaster?

Autor: Angelie Grace Aycardo, Claire Dennis S. Mapa, Majah-Leah V. Ravago, Michael R.M. Abrigo
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Disaster Risk Reduction. 51:101913
ISSN: 2212-4209
DOI: 10.1016/j.ijdrr.2020.101913
Popis: We developed a Localized Disaster Risk Management Index (DRMI) that measures how well local government units (LGUs) in the Philippines prepare for a disaster. Focusing on LGUs that have experienced at least one of the four hydrometeorological hazards, strong winds and rain, floods, landslide/mudslide, and big waves, we capture in one number the ex post and ex ante risk management strategies that influence post disaster outcomes. Given the nature of our data, we used the iterative principal component analysis to compute for the LGUs' Localized DRMI, which was then correlated with conditions, outcomes, and social indicators. Our results show a negative correlation between localized DRMI and recovery, which means that LGUs with high Localized DRMI scores are also those that have not fully recovered. This does not mean that these LGUs would be better off having lower scores. This result implies LGUs that perform well in terms of Localized DRMI scores are also those that frequently experience very severe disasters due to hydrometeorological hazards. Just as they are recovering from a disaster, another one hits them. This is corroborated by other correlation results: positive for severity and frequency, positive for poverty, and negative for LGUs’ revenue.
Databáze: OpenAIRE
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