Welfare and Climate Risks in Coastal Bangladesh: The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation
It is widely recognized that climate hazards impact the poor disproportionately. However, quantifying these disproportionate hazard impacts on a large scale is difficult given limited information on households' location and socioeconomic characteristics, and incomplete quantitative frameworks t...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2023
|
Schlagworte: | |
Online-Zugang: | kostenfrei |
Zusammenfassung: | It is widely recognized that climate hazards impact the poor disproportionately. However, quantifying these disproportionate hazard impacts on a large scale is difficult given limited information on households' location and socioeconomic characteristics, and incomplete quantitative frameworks to assess welfare impacts on households. This paper constructs a household-level multidimensional poverty index using a synthetic household dataset of 43 million people residing in the coastal zone of Bangladesh. Households are spatially linked to the critical infrastructure networks they depend on, including housing; water, sanitation, and hygiene; electricity; education; and health services. Combined with detailed cyclone hazard data, the paper first quantifies risks to households, agriculture, and infrastructure. It then presents a novel framework for translating critical infrastructure impacts into the temporary incidence of service deprivations, which can contribute to temporary deprivations and hence multidimensional poverty. The paper uses this framework to evaluate the benefits of various adaptation options. The findings show that asset risk due to flooding is USD 483 million per year at present, increasing to USD 750 million per year in 2050 under climate change. Households face an average infrastructure service disruption of two days per year, which is expected to increase to 4.6 days per year in 2050. This, in turn, would incur a temporary increase in multidimensional poverty (7.2 percent of people are multidimensionally poor at the baseline) of up to 94 percent (2.9 million people) 30 days after an extreme cyclone event (a 1-in-100 years event) at present and 153.9 percent (4.8 million people) in the future. The paper quantifies the large welfare benefits of upgrading embankments, showing how apart from significant risk reduction, these interventions reduce service disruptions by up to 70 percent in some areas and can help up to 1.6 million (0.23 million under current and proposed programs) people from experiencing some form of temporary poverty. Overall, the paper identifies poor households exposed to climate impacts, as well as those prone to falling into poverty temporarily, both ofcould help to mainstream equity considerations in new adaptation programs |
Beschreibung: | 1 Online-Ressource (59 Seiten) |
DOI: | 10.1596/1813-9450-10373 |
Internformat
MARC
LEADER | 00000nmm a22000001c 4500 | ||
---|---|---|---|
001 | BV049079214 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 230731s2023 xxu|||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-10373 |2 doi | |
035 | |a (ZDB-1-WBA)091407346 | ||
035 | |a (OCoLC)1392149665 | ||
035 | |a (DE-599)KEP091407346 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a xxu |c XD-US | ||
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Verschuur, Jasper |e Verfasser |4 aut | |
245 | 1 | 0 | |a Welfare and Climate Risks in Coastal Bangladesh |b The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |c Jasper Verschuur |
264 | 1 | |a Washington, D.C |b The World Bank |c 2023 | |
300 | |a 1 Online-Ressource (59 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | 3 | |a It is widely recognized that climate hazards impact the poor disproportionately. However, quantifying these disproportionate hazard impacts on a large scale is difficult given limited information on households' location and socioeconomic characteristics, and incomplete quantitative frameworks to assess welfare impacts on households. This paper constructs a household-level multidimensional poverty index using a synthetic household dataset of 43 million people residing in the coastal zone of Bangladesh. Households are spatially linked to the critical infrastructure networks they depend on, including housing; water, sanitation, and hygiene; electricity; education; and health services. Combined with detailed cyclone hazard data, the paper first quantifies risks to households, agriculture, and infrastructure. | |
520 | 3 | |a It then presents a novel framework for translating critical infrastructure impacts into the temporary incidence of service deprivations, which can contribute to temporary deprivations and hence multidimensional poverty. The paper uses this framework to evaluate the benefits of various adaptation options. The findings show that asset risk due to flooding is USD 483 million per year at present, increasing to USD 750 million per year in 2050 under climate change. Households face an average infrastructure service disruption of two days per year, which is expected to increase to 4.6 days per year in 2050. This, in turn, would incur a temporary increase in multidimensional poverty (7.2 percent of people are multidimensionally poor at the baseline) of up to 94 percent (2.9 million people) 30 days after an extreme cyclone event (a 1-in-100 years event) at present and 153.9 percent (4.8 million people) in the future. | |
520 | 3 | |a The paper quantifies the large welfare benefits of upgrading embankments, showing how apart from significant risk reduction, these interventions reduce service disruptions by up to 70 percent in some areas and can help up to 1.6 million (0.23 million under current and proposed programs) people from experiencing some form of temporary poverty. Overall, the paper identifies poor households exposed to climate impacts, as well as those prone to falling into poverty temporarily, both ofcould help to mainstream equity considerations in new adaptation programs | |
650 | 4 | |a Adaptation Co-Benefits | |
650 | 4 | |a Climate Change | |
650 | 4 | |a Coastal Risk | |
650 | 4 | |a Cyclone Hazard Data | |
650 | 4 | |a Environmental Risk | |
650 | 4 | |a Household Survey | |
650 | 4 | |a Multidimensional Poverty Index | |
650 | 4 | |a Poverty | |
650 | 4 | |a Poverty Reduction | |
650 | 4 | |a Welfare Implications | |
700 | 1 | |a Becher, Olivia |e Sonstige |4 oth | |
700 | 1 | |a Kazi, Swarna |e Sonstige |4 oth | |
700 | 1 | |a Schwantje, Tom |e Sonstige |4 oth | |
700 | 1 | |a Urrutia, Ignacio |e Sonstige |4 oth | |
700 | 1 | |a van Ledden, Mathijs |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Verschuur, Jasper |t Welfare and Climate Risks in Coastal Bangladesh: The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |d Washington, D.C. : The World Bank, 2023 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-10373 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034341105 |
Datensatz im Suchindex
_version_ | 1824556227097526274 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Verschuur, Jasper |
author_facet | Verschuur, Jasper |
author_role | aut |
author_sort | Verschuur, Jasper |
author_variant | j v jv |
building | Verbundindex |
bvnumber | BV049079214 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)091407346 (OCoLC)1392149665 (DE-599)KEP091407346 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-10373 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a22000001c 4500</leader><controlfield tag="001">BV049079214</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230731s2023 xxu|||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-10373</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)091407346</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392149665</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP091407346</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Verschuur, Jasper</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Welfare and Climate Risks in Coastal Bangladesh</subfield><subfield code="b">The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation</subfield><subfield code="c">Jasper Verschuur</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (59 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">It is widely recognized that climate hazards impact the poor disproportionately. However, quantifying these disproportionate hazard impacts on a large scale is difficult given limited information on households' location and socioeconomic characteristics, and incomplete quantitative frameworks to assess welfare impacts on households. This paper constructs a household-level multidimensional poverty index using a synthetic household dataset of 43 million people residing in the coastal zone of Bangladesh. Households are spatially linked to the critical infrastructure networks they depend on, including housing; water, sanitation, and hygiene; electricity; education; and health services. Combined with detailed cyclone hazard data, the paper first quantifies risks to households, agriculture, and infrastructure.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">It then presents a novel framework for translating critical infrastructure impacts into the temporary incidence of service deprivations, which can contribute to temporary deprivations and hence multidimensional poverty. The paper uses this framework to evaluate the benefits of various adaptation options. The findings show that asset risk due to flooding is USD 483 million per year at present, increasing to USD 750 million per year in 2050 under climate change. Households face an average infrastructure service disruption of two days per year, which is expected to increase to 4.6 days per year in 2050. This, in turn, would incur a temporary increase in multidimensional poverty (7.2 percent of people are multidimensionally poor at the baseline) of up to 94 percent (2.9 million people) 30 days after an extreme cyclone event (a 1-in-100 years event) at present and 153.9 percent (4.8 million people) in the future.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The paper quantifies the large welfare benefits of upgrading embankments, showing how apart from significant risk reduction, these interventions reduce service disruptions by up to 70 percent in some areas and can help up to 1.6 million (0.23 million under current and proposed programs) people from experiencing some form of temporary poverty. Overall, the paper identifies poor households exposed to climate impacts, as well as those prone to falling into poverty temporarily, both ofcould help to mainstream equity considerations in new adaptation programs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptation Co-Benefits</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate Change</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastal Risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cyclone Hazard Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environmental Risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Household Survey</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multidimensional Poverty Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty Reduction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Welfare Implications</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Becher, Olivia</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kazi, Swarna</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schwantje, Tom</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Urrutia, Ignacio</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van Ledden, Mathijs</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Verschuur, Jasper</subfield><subfield code="t">Welfare and Climate Risks in Coastal Bangladesh: The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation</subfield><subfield code="d">Washington, D.C. : The World Bank, 2023</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-10373</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034341105</subfield></datafield></record></collection> |
id | DE-604.BV049079214 |
illustrated | Not Illustrated |
index_date | 2024-07-03T22:27:55Z |
indexdate | 2025-02-20T07:20:12Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034341105 |
oclc_num | 1392149665 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (59 Seiten) |
psigel | ZDB-1-WBA |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | The World Bank |
record_format | marc |
spellingShingle | Verschuur, Jasper Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation Adaptation Co-Benefits Climate Change Coastal Risk Cyclone Hazard Data Environmental Risk Household Survey Multidimensional Poverty Index Poverty Poverty Reduction Welfare Implications |
title | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |
title_auth | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |
title_exact_search | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |
title_exact_search_txtP | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |
title_full | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation Jasper Verschuur |
title_fullStr | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation Jasper Verschuur |
title_full_unstemmed | Welfare and Climate Risks in Coastal Bangladesh The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation Jasper Verschuur |
title_short | Welfare and Climate Risks in Coastal Bangladesh |
title_sort | welfare and climate risks in coastal bangladesh the impacts of climatic extremes on multidimensional poverty and the wider benefits of climate adaptation |
title_sub | The Impacts of Climatic Extremes on Multidimensional Poverty and the Wider Benefits of Climate Adaptation |
topic | Adaptation Co-Benefits Climate Change Coastal Risk Cyclone Hazard Data Environmental Risk Household Survey Multidimensional Poverty Index Poverty Poverty Reduction Welfare Implications |
topic_facet | Adaptation Co-Benefits Climate Change Coastal Risk Cyclone Hazard Data Environmental Risk Household Survey Multidimensional Poverty Index Poverty Poverty Reduction Welfare Implications |
url | https://doi.org/10.1596/1813-9450-10373 |
work_keys_str_mv | AT verschuurjasper welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation AT becherolivia welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation AT kaziswarna welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation AT schwantjetom welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation AT urrutiaignacio welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation AT vanleddenmathijs welfareandclimaterisksincoastalbangladeshtheimpactsofclimaticextremesonmultidimensionalpovertyandthewiderbenefitsofclimateadaptation |