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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 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.


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 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]])
 
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]])

Latest revision as of 14:16, 16 November 2020

Model Documentation - MESSAGE-GLOBIOM

Corresponding documentation
Previous versions
Model information
Model link
Institution International Institute for Applied Systems Analysis (IIASA), Austria, http://data.ene.iiasa.ac.at.
Solution concept General equilibrium (closed economy)
Solution method Optimization
Anticipation

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 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 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 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) MSG-GLB_kc_human_2014 for details. (Fricko et al., 2016 MSG-GLB_fricko_marker_2016)

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