Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño

Abstract In this article, we provide an impact evaluation of an intervention in Peru regarding preparedness for El Niño impacts in Picsi District of Chiclayo Province in Peru’s northwestern coastal Lambayeque region. This effort involved the provision of special kits that reduce the potential damage...

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Main Authors: Julio Aguirre, Daniel De La Torre Ugarte, Juan Bazo, Paulo Quequezana, Mauricio Collado
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:International Journal of Disaster Risk Science
Subjects:
Online Access:https://doi.org/10.1007/s13753-019-00245-x
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spelling doaj-2079031288824562840cb34f73bf27902020-12-27T12:07:35ZengSpringerOpenInternational Journal of Disaster Risk Science2095-00552192-63952019-12-0110449351010.1007/s13753-019-00245-xEvaluation of Early Action Mechanisms in Peru Regarding Preparedness for El NiñoJulio Aguirre0Daniel De La Torre Ugarte1Juan Bazo2Paulo Quequezana3Mauricio Collado4Department of Economics, Universidad del PacíficoDepartment of Economics, Universidad del PacíficoRed Cross Red Crescent Climate CentreDepartment of Economics, Universidad del PacíficoDepartment of Economics, Universidad del PacíficoAbstract In this article, we provide an impact evaluation of an intervention in Peru regarding preparedness for El Niño impacts in Picsi District of Chiclayo Province in Peru’s northwestern coastal Lambayeque region. This effort involved the provision of special kits that reduce the potential damage to homes as a consequence of rainfall and floods associated with an El Niño-Southern Oscillation event. Information was collected in 2016 when this Forecast-based Financing early action was activated by an El Niño forecast, and after a coastal El Niño actually struck in 2017. This dual database permits us to estimate the impact of the intervention on the damage level of homes by comparing those homes supported by the program with those homes not receiving pilot-program support. This comparison is achieved by using propensity score matching techniques, which identify the most comparable homes to the ones that were supported by the intervention. The main findings of the study suggest a positive impact of the program in terms of its effectiveness in mitigating the damage caused by the 2017 El Niño. These results suggest a drop in the scale of house damage (less damage) by around 63% for a home that received the modular kit treatment. When considering other specifications of the model, the decrease in the scale of house damage improves up to approximately 66%.https://doi.org/10.1007/s13753-019-00245-xEarly warningEarly actionEl Niño-Southern OscillationForecast-based FinancingMatching propensity scorePerú
collection DOAJ
language English
format Article
sources DOAJ
author Julio Aguirre
Daniel De La Torre Ugarte
Juan Bazo
Paulo Quequezana
Mauricio Collado
spellingShingle Julio Aguirre
Daniel De La Torre Ugarte
Juan Bazo
Paulo Quequezana
Mauricio Collado
Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
International Journal of Disaster Risk Science
Early warning
Early action
El Niño-Southern Oscillation
Forecast-based Financing
Matching propensity score
Perú
author_facet Julio Aguirre
Daniel De La Torre Ugarte
Juan Bazo
Paulo Quequezana
Mauricio Collado
author_sort Julio Aguirre
title Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
title_short Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
title_full Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
title_fullStr Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
title_full_unstemmed Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño
title_sort evaluation of early action mechanisms in peru regarding preparedness for el niño
publisher SpringerOpen
series International Journal of Disaster Risk Science
issn 2095-0055
2192-6395
publishDate 2019-12-01
description Abstract In this article, we provide an impact evaluation of an intervention in Peru regarding preparedness for El Niño impacts in Picsi District of Chiclayo Province in Peru’s northwestern coastal Lambayeque region. This effort involved the provision of special kits that reduce the potential damage to homes as a consequence of rainfall and floods associated with an El Niño-Southern Oscillation event. Information was collected in 2016 when this Forecast-based Financing early action was activated by an El Niño forecast, and after a coastal El Niño actually struck in 2017. This dual database permits us to estimate the impact of the intervention on the damage level of homes by comparing those homes supported by the program with those homes not receiving pilot-program support. This comparison is achieved by using propensity score matching techniques, which identify the most comparable homes to the ones that were supported by the intervention. The main findings of the study suggest a positive impact of the program in terms of its effectiveness in mitigating the damage caused by the 2017 El Niño. These results suggest a drop in the scale of house damage (less damage) by around 63% for a home that received the modular kit treatment. When considering other specifications of the model, the decrease in the scale of house damage improves up to approximately 66%.
topic Early warning
Early action
El Niño-Southern Oscillation
Forecast-based Financing
Matching propensity score
Perú
url https://doi.org/10.1007/s13753-019-00245-x
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