dc.contributor
Universitat Ramon Llull. La Salle
dc.contributor
Pontifícia Universidade Católica do Rio Grande do Sul
dc.contributor.author
Tonetto, Jorge Luis
dc.contributor.author
Pique, Josep Miquel
dc.contributor.author
Fochezatto, Adelar
dc.contributor.author
Rapetti, Carina Alejandra
dc.date.accessioned
2025-10-11T05:27:07Z
dc.date.available
2025-10-11T05:27:07Z
dc.date.created
2024-10-08
dc.date.issued
2024-11-14
dc.identifier.issn
2225-1154
dc.identifier.uri
http://hdl.handle.net/20.500.14342/5573
dc.description.abstract
Hydrometeorological hazards are currently a cause for great concern worldwide. Droughts
are among the most recurrent events, causing significant losses. This article presents a study on
the duration of droughts in the southernmost state of Brazil, which has a large agricultural sector
and experiences frequent drought events. The approach focuses on the economic recovery time of
municipalities affected by the drought in 2020, 2022 and 2023, using the total value of invoices issued
within each municipality between companies and from companies to consumers. The Kaplan–Meier
estimator and Cox regression models are applied, incorporating covariates such as the size of the
municipality, geographic location, and primary economic activity sector. The results show that the
longest recovery period is concentrated in small cities, particularly in those where agriculture or
livestock is the primary economic activity. The greatest resilience is observed in cities within the
metropolitan region, where economic activity is more concentrated in services and industry and
where populations are generally larger. The study identifies that after each drought event, at least 75%
of municipalities achieve economic recovery within 3 months. These findings support better planning
for both drought prevention and impact reduction and they are relevant for the development of
economic and social policies.
dc.relation.ispartof
Climate. 2024, 12(11), 186
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Regional development planning and policy
dc.subject
Natural disasters
dc.subject
Semiparametric and nonparametric methods
dc.title
Economic impact of droughts in southern Brazil, a duration analysis
dc.type
info:eu-repo/semantics/article
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
https://doi.org/10.3390/cli12110186
dc.rights.accessLevel
info:eu-repo/semantics/openAccess