| 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 | 2025-10-10T06:14:26Z | |
| dc.date.available | 2025-10-10T06:14:26Z | |
| dc.date.created | 2024-10-08 | |
| dc.date.issued | 2024-11-14 | |
| dc.identifier.issn | 2225-1154 | ca |
| 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. | ca |
| dc.format.extent | 17 p. | ca |
| dc.language.iso | eng | ca |
| dc.publisher | MDPI | ca |
| dc.relation.ispartof | Climate. 2024, 12(11), 186 | ca |
| dc.rights | © L'autor/a | ca |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.other | Regional development planning and policy | ca |
| dc.subject.other | Natural disasters | ca |
| dc.subject.other | Drought | ca |
| dc.subject.other | Semiparametric and nonparametric methods | ca |
| dc.subject.other | Environment | ca |
| dc.title | Economic impact of droughts in southern Brazil, a duration analysis | ca |
| dc.type | info:eu-repo/semantics/article | ca |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | ca |
| dc.subject.udc | 33 | ca |
| dc.subject.udc | 35 | ca |
| dc.subject.udc | 502 | ca |
| dc.subject.udc | 62 | ca |
| dc.subject.udc | 63 | ca |
| dc.identifier.doi | https://doi.org/10.3390/cli12110186 | ca |
| dc.description.version | info:eu-repo/semantics/publishedVersion | ca |