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...
Main Authors: | , , , , , , |
---|---|
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 |