Population - MESSAGE-GLOBIOM - Revision history

Anique Carbados: Minor English edit - difficulties to adapt to >> difficulty adapting to

2020-11-16T13:16:15Z

Minor English edit - difficulties to adapt to >> difficulty adapting to

← Older revision		Revision as of 15:16, 16 November 2020
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	Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more ~~difficulties to adapt~~ to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGEix are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGEix-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.		Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulty adapting to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGEix are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGEix-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

	Demographic projections used in MESSAGEix-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])		Demographic projections used in MESSAGEix-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Anique Carbados: Updated MESSAGE to MESSAGEix

2020-11-16T13:14:00Z

Updated MESSAGE to MESSAGEix

← Older revision		Revision as of 15:14, 16 November 2020
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	Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in ~~MESSAGE~~ are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the ~~MESSAGE~~-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.		Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGEix are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGEix-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

	Demographic projections used in ~~MESSAGE~~-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])		Demographic projections used in MESSAGEix-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Rineke Oostenrijk: Text replacement - "|QQQ " to ""

2020-06-23T15:14:58Z

Text replacement - "|QQQ " to ""

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	Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.		Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

	Demographic projections used in MESSAGE-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])		Demographic projections used in MESSAGE-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Rineke Oostenrijk: Text replacement - "HasParent=(.*) " to "QQQ "

2020-06-23T15:11:20Z

Text replacement - "HasParent=(.*) " to "QQQ "

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	}}		}}
	Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.		Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

	Demographic projections used in MESSAGE-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])		Demographic projections used in MESSAGE-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Rineke Oostenrijk: Text replacement - "|HasSeq=1 " to ""

2020-06-23T15:02:32Z

Text replacement - "|HasSeq=1 " to ""

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Rineke Oostenrijk: Text replacement - "|HasLevel=2 " to ""

2020-06-23T14:57:21Z

Text replacement - "|HasLevel=2 " to ""

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Volker Krey: demographic development split from GDP growth

2016-10-27T21:09:59Z

demographic development split from GDP growth

← Older revision		Revision as of 23:09, 27 October 2016
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	~~==Population~~ and GDP==		Demographic development has, next to economic growth, strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for the MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

	Population and economic developments have strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity exchange rates, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.		Demographic projections used in MESSAGE-GLOBIOM are based on the Shared Socio-economic Pathways (SSPs) at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database]. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, the population development in SSP2 is designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

	~~Recent examples of demographic and economic~~ projections used in MESSAGE ~~include the scenarios~~ based on the Shared Socio-economic Pathways (SSPs) ~~which provide population projections and GDP (PPP) projections~~ at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database].

	~~Understanding how population and economic growth develops in the SSPs gives a first layer of understanding of the multiple mitigation and adaptation challenges~~. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). Gross Domestic Product (GDP) follows regional historical trends (Dellink et al., 2015 [[CiteRef::MSG-GLB_dellink_long-term_2015]]). In SSP2, average income grows by a factor of six and reaches about 60,000 USD/capita by the end of the century (all GDP/capita figures use USD2005 and purchasing-power-parity – PPP). The SSP2 GDP projection is situated in-between the estimates for SSP1 and SSP3, which reach global average income levels of 82,000 USD2005 and 22,000 USD2005, respectively, by the end of the century. SSP2 depicts a future of global progress where developing countries achieve significant economic growth. Today, average per capita income in the global North is about five times higher than in the global South. In SSP2, developing countries reach today’s average income levels of the OECD between 2060 and 2090, depending on the region. However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, ~~both~~ the population ~~and GDP developments~~ in SSP2 ~~are~~ designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014~~]] and Dellink et al (2015) [[CiteRef::MSG-GLB_dellink_long-term_2015~~]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Johanna Zilliacus at 16:43, 22 August 2016

2016-08-22T16:43:06Z

← Older revision		Revision as of 18:43, 22 August 2016
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			==Population and GDP==

			Population and economic developments have strong implications for the anticipated mitigation and adaptation challenges. For example, a larger, poorer population will have more difficulties to adapt to the detrimental effects of climate change (O’Neill et al., 2014 [[CiteRef::MSG-GLB_oneill_new_2014]]). The primary drivers of future energy demand in MESSAGE are projections of total population and GDP at purchasing power parity exchange rates, denoted as GDP (PPP). In addition to total population, the urban/rural split of population is relevant for MESSAGE-Access version of the model which distinguishes rural and urban population with different household incomes in developing country regions.

			Recent examples of demographic and economic projections used in MESSAGE include the scenarios based on the Shared Socio-economic Pathways (SSPs) which provide population projections and GDP (PPP) projections at the country level [https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=welcome SSP database].

			Understanding how population and economic growth develops in the SSPs gives a first layer of understanding of the multiple mitigation and adaptation challenges. Population growth evolves in response to how fertility, mortality, migration, and education of various social strata are assumed to change over time. In SSP2, global population peaks at 9.4 billion people around 2070, and slowly declines thereafter (KC and Lutz, 2015 [[CiteRef::MSG-GLB_kc_human_2014]]). Gross Domestic Product (GDP) follows regional historical trends (Dellink et al., 2015 [[CiteRef::MSG-GLB_dellink_long-term_2015]]). In SSP2, average income grows by a factor of six and reaches about 60,000 USD/capita by the end of the century (all GDP/capita figures use USD2005 and purchasing-power-parity – PPP). The SSP2 GDP projection is situated in-between the estimates for SSP1 and SSP3, which reach global average income levels of 82,000 USD2005 and 22,000 USD2005, respectively, by the end of the century. SSP2 depicts a future of global progress where developing countries achieve significant economic growth. Today, average per capita income in the global North is about five times higher than in the global South. In SSP2, developing countries reach today’s average income levels of the OECD between 2060 and 2090, depending on the region. However, modest improvements of educational attainment levels result in declines in education-specific fertility rates, leading to incomplete economic convergence across different world regions. This is particularly an issue for Africa. Overall, both the population and GDP developments in SSP2 are designed to be situated in the middle of the road between SSP1 and SSP3, see KC and Lutz (2015) [[CiteRef::MSG-GLB_kc_human_2014]] and Dellink et al (2015) [[CiteRef::MSG-GLB_dellink_long-term_2015]] for details. (Fricko et al., 2016 [[CiteRef::MSG-GLB_fricko_marker_2016]])

Rineke Oostenrijk: Edited automatically from page MESSAGE-GLOBIOM setup.

2016-08-05T19:00:57Z

Edited automatically from page MESSAGE-GLOBIOM setup.

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Rineke Oostenrijk: Edited automatically from page MESSAGE-GLOBIOM setup.

2016-08-05T19:00:56Z

Edited automatically from page MESSAGE-GLOBIOM setup.

New page

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