The demography of human development and climate change vulnerability: A projection exercise
We propose a methodological framework aimed at obtaining projections of the Human Development Index (HDI) that can be used to assess the degree of vulnerability of future societies to extreme climatic events. By combining recent developments in the modeling and projection of population by age, sex,...
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Verlag der Österreichischen Akademie der Wissenschaften
2015
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-53962017-01-26T05:25:38Z The demography of human development and climate change vulnerability: A projection exercise Crespo Cuaresma, Jesus Lutz, Wolfgang We propose a methodological framework aimed at obtaining projections of the Human Development Index (HDI) that can be used to assess the degree of vulnerability of future societies to extreme climatic events. By combining recent developments in the modeling and projection of population by age, sex, and educational attainment, our modeling set-up ensures that the different components of the HDI are projected using a self-contained, consistent modeling effort. We develop scenarios that correspond to the Shared Socioeconomic Pathways (SSPs) developed in the context of the Intergovernmental Panel on Climate Change (IPCC), and thus present a projection framework that can be used to expand the evaluation of the potential mitigation and adaptation challenges associated with climate change in general, and with vulnerability to natural disasters in particular. Verlag der Österreichischen Akademie der Wissenschaften 2015 Article PeerReviewed en application/pdf http://epub.wu.ac.at/5396/1/160_VYPR13_241%2D261.pdf Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) http://hw.oeaw.ac.at/?arp=0x00344f59 http://www.oeaw.ac.at/verlag-der-oeaw-publikationen/verlag/der-verlag-der-oeaw/ http://www.oeaw.ac.at/oesterreichische-akademie-der-wissenschaften/ http://hw.oeaw.ac.at/3122-9?frames=yes http://dx.doi.org/10.1553/populationyearbook2015s241 http://epub.wu.ac.at/5396/ |
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en |
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Others
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NDLTD |
description |
We propose a methodological framework aimed at obtaining projections of the Human Development Index (HDI) that can be used to assess the degree of vulnerability of future societies to extreme climatic events. By combining recent developments in the modeling and projection of population by age, sex, and educational attainment, our modeling set-up ensures that the different components of the HDI are projected using a self-contained, consistent modeling effort. We develop scenarios that correspond to the Shared Socioeconomic Pathways (SSPs) developed in the context of the Intergovernmental Panel on Climate Change (IPCC), and thus present a projection framework that can be used to expand the evaluation of the potential mitigation and adaptation challenges associated with climate change in general, and with vulnerability to natural disasters in particular. |
author |
Crespo Cuaresma, Jesus Lutz, Wolfgang |
spellingShingle |
Crespo Cuaresma, Jesus Lutz, Wolfgang The demography of human development and climate change vulnerability: A projection exercise |
author_facet |
Crespo Cuaresma, Jesus Lutz, Wolfgang |
author_sort |
Crespo Cuaresma, Jesus |
title |
The demography of human development and climate change vulnerability: A projection exercise |
title_short |
The demography of human development and climate change vulnerability: A projection exercise |
title_full |
The demography of human development and climate change vulnerability: A projection exercise |
title_fullStr |
The demography of human development and climate change vulnerability: A projection exercise |
title_full_unstemmed |
The demography of human development and climate change vulnerability: A projection exercise |
title_sort |
demography of human development and climate change vulnerability: a projection exercise |
publisher |
Verlag der Österreichischen Akademie der Wissenschaften |
publishDate |
2015 |
url |
http://epub.wu.ac.at/5396/1/160_VYPR13_241%2D261.pdf http://dx.doi.org/10.1553/populationyearbook2015s241 |
work_keys_str_mv |
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_version_ |
1718410652255518720 |