Quantitative Analysis of the Impact of Floods in Bolivia

Bolivia’s primary natural hazards - such as droughts, frost, severe rains, and hailstorms - are largely hydrometeorological in nature, and include phenomena derived from these, such as floods and landslides. Given their frequency and the proportion...

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Main Authors: Ishizawa, Oscar A., Miranda, Juan José, Jiménez, Luis Felipe, Villamil, Andrea, Lv, Xijie, Jardillier, Remy Paul Jean, de Haro López, Itzel
Format: Report
Language:English
Published: World Bank, Washington, DC 2017
Subjects:
Online Access:http://documents.worldbank.org/curated/en/111981513149194767/Quantitative-analysis-of-the-impact-of-floods-in-Bolivia
http://hdl.handle.net/10986/29043
id okr-10986-29043
recordtype oai_dc
spelling okr-10986-290432021-05-25T09:08:47Z Quantitative Analysis of the Impact of Floods in Bolivia Ishizawa, Oscar A. Miranda, Juan José Jiménez, Luis Felipe Villamil, Andrea Lv, Xijie Jardillier, Remy Paul Jean de Haro López, Itzel FLOODS PRECIPITATION INDEX INTENSITY INDEX SOCIOECONOMIC IMPACT CLIMATE SHOCKS DISASTER RISK VULNERABILITY Bolivia’s primary natural hazards - such as droughts, frost, severe rains, and hailstorms - are largely hydrometeorological in nature, and include phenomena derived from these, such as floods and landslides. Given their frequency and the proportion of the population exposed to them, floods cause significant economic losses primarily affecting infrastructure, agricultural, and livestock production. Given this context, disaster risk management has been a priority in the agenda of the Government of Bolivia, which has achieved significant progress in establishing a regulatory and institutional framework for this purpose. This study analyzes various indexes commonly used in economic literature to represent flood impacts. The results show that different indexes are consistent across the different characterizations, and point to a significant negative effect of excessive precipitation, intense rainfall, and river overflow, on both per capita income and household poverty. The study is divided into four sections. The first section describes the three indexes used in the study, the information used to calibrate them, and how their values are calculated. The second section describes the methodology used to assess floods imparts on household income and poverty. The third section describes the results for different variants of the indexes and includes a comparison of the predictions of each in different scenarios. The last section shows the main conclusions of the study. 2017-12-19T18:20:47Z 2017-12-19T18:20:47Z 2017-12 Report http://documents.worldbank.org/curated/en/111981513149194767/Quantitative-analysis-of-the-impact-of-floods-in-Bolivia http://hdl.handle.net/10986/29043 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Economic & Sector Work :: Risk and Vulnerability Assessment Economic & Sector Work Latin America & Caribbean Bolivia
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic FLOODS
PRECIPITATION INDEX
INTENSITY INDEX
SOCIOECONOMIC IMPACT
CLIMATE SHOCKS
DISASTER RISK
VULNERABILITY
spellingShingle FLOODS
PRECIPITATION INDEX
INTENSITY INDEX
SOCIOECONOMIC IMPACT
CLIMATE SHOCKS
DISASTER RISK
VULNERABILITY
Ishizawa, Oscar A.
Miranda, Juan José
Jiménez, Luis Felipe
Villamil, Andrea
Lv, Xijie
Jardillier, Remy Paul Jean
de Haro López, Itzel
Quantitative Analysis of the Impact of Floods in Bolivia
geographic_facet Latin America & Caribbean
Bolivia
description Bolivia’s primary natural hazards - such as droughts, frost, severe rains, and hailstorms - are largely hydrometeorological in nature, and include phenomena derived from these, such as floods and landslides. Given their frequency and the proportion of the population exposed to them, floods cause significant economic losses primarily affecting infrastructure, agricultural, and livestock production. Given this context, disaster risk management has been a priority in the agenda of the Government of Bolivia, which has achieved significant progress in establishing a regulatory and institutional framework for this purpose. This study analyzes various indexes commonly used in economic literature to represent flood impacts. The results show that different indexes are consistent across the different characterizations, and point to a significant negative effect of excessive precipitation, intense rainfall, and river overflow, on both per capita income and household poverty. The study is divided into four sections. The first section describes the three indexes used in the study, the information used to calibrate them, and how their values are calculated. The second section describes the methodology used to assess floods imparts on household income and poverty. The third section describes the results for different variants of the indexes and includes a comparison of the predictions of each in different scenarios. The last section shows the main conclusions of the study.
format Report
author Ishizawa, Oscar A.
Miranda, Juan José
Jiménez, Luis Felipe
Villamil, Andrea
Lv, Xijie
Jardillier, Remy Paul Jean
de Haro López, Itzel
author_facet Ishizawa, Oscar A.
Miranda, Juan José
Jiménez, Luis Felipe
Villamil, Andrea
Lv, Xijie
Jardillier, Remy Paul Jean
de Haro López, Itzel
author_sort Ishizawa, Oscar A.
title Quantitative Analysis of the Impact of Floods in Bolivia
title_short Quantitative Analysis of the Impact of Floods in Bolivia
title_full Quantitative Analysis of the Impact of Floods in Bolivia
title_fullStr Quantitative Analysis of the Impact of Floods in Bolivia
title_full_unstemmed Quantitative Analysis of the Impact of Floods in Bolivia
title_sort quantitative analysis of the impact of floods in bolivia
publisher World Bank, Washington, DC
publishDate 2017
url http://documents.worldbank.org/curated/en/111981513149194767/Quantitative-analysis-of-the-impact-of-floods-in-Bolivia
http://hdl.handle.net/10986/29043
_version_ 1764468365078822912