Assessing the impact of governance policies on landslide risk in Brazilian municipalities
International Journal of Disaster Risk Reduction, ISSN: 2212-4209, Vol: 99, Page: 104058
2023
- 7Citations
- 45Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Landslides triggered by heavy rainfall cause substantial losses in Brazil. This study investigates the impact of governance policies on landslide occurrences in Brazilian municipalities from 2000 to 2019, employing a Poisson pseudo-maximum likelihood estimator with high-dimensional fixed effects (PPML-HDFE). Panel regression analysis is conducted on environmental, socioeconomic, and policy factors influencing landslide frequency, clustering, and duration. A novel Landslide Risk Index (LRI), grounded in Intensity-Duration parameters, is introduced into the model as a nuanced risk assessment metric. Empirical findings reveal significant effects of specific policy interventions and substantial spatial variability in landslide risks. Precipitation patterns and municipal climate change laws are statistically significant in modulating landslide risks. While disaster warning systems have limited effectiveness, resilience initiatives like the UN Program for Resilient Cities substantially reduce landslide susceptibility in high-risk areas. The results advocate for context-specific policies tuned to local risk profiles rather than one-size-fits-all solutions. By bridging meteorological insights with policy-focused quantitative evaluation, the study makes a novel contribution to strengthening landslide resilience planning in Brazil.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2212420923005381; http://dx.doi.org/10.1016/j.ijdrr.2023.104058; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85177200716&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2212420923005381; https://dx.doi.org/10.1016/j.ijdrr.2023.104058
Elsevier BV
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