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.

我们开发了本地灾难风险管理指数（DRMI），用于衡量菲律宾地方政府部门（LGU）做好灾难准备的能力。着眼于经历过以下四种水文气象灾害，强风雨，洪水，滑坡/泥石流和大浪中至少一种的LGU，我们事后和事前捕获了一个数量影响灾难后结果的风险管理策略。考虑到我们数据的性质，我们使用迭代主成分分析来计算LGU的本地化DRMI，然后将其与条件，结果和社会指标相关联。我们的结果表明，本地化DRMI与恢复之间呈负相关，这意味着具有较高本地化DRMI分数的LGU也是那些尚未完全恢复的LGU。这并不意味着这些LGU得分较低会更好。该结果表明，在本地化DRMI评分方面表现良好的LGU也是由于水文气象危害而经常遭受非常严重灾害的LGU。就在他们从灾难中恢复过来时，又有一个人击中了他们。其他相关结果也证实了这一点：严重性和频率呈阳性，