Socio-economic drivers - REMIND-MAgPIE - Revision history

Mathijs Harmsen at 10:49, 11 May 2023

2023-05-11T10:49:55Z

← Older revision		Revision as of 12:49, 11 May 2023
Line 4:		Line 4:
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
			'''Note:''' This pages describes the REMIND 1.7 model. It will be updated shortly to describe the most recent version of REMIND-MAgPIE.
			<br>
			<br>
	Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).		Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).

Mathijs Harmsen: Reverted edits by Lavinia Baumstark (talk) to last revision by Rineke Oostenrijk

2023-02-22T17:02:07Z

Reverted edits by Lavinia Baumstark (talk) to last revision by Rineke Oostenrijk

← Older revision		Revision as of 19:02, 22 February 2023
Line 4:		Line 4:
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
			Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).

			<figure id="fig:REMIND-MAgPIE_3">
			[[File: Figure Socio-economic drivers - REMIND-MAgPIE.JPG]]
			</figure>

			'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND-MAgPIE SSP2 (“Middle-of-the-Road”) scenario.


























			<references />

Lavinia Baumstark: adjust to REMIND-MAgPIE

2022-01-25T09:50:42Z

adjust to REMIND-MAgPIE

← Older revision		Revision as of 11:50, 25 January 2022
Line 4:		Line 4:
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
	Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).

	~~<figure id="fig:REMIND-MAgPIE_3">~~
	~~[[File: Figure Socio-economic drivers - REMIND-MAgPIE.JPG]]~~
	~~</figure>~~

	~~'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND-MAgPIE SSP2 (“Middle-of-the-Road”) scenario.~~


























	~~<references />~~

Rineke Oostenrijk: Text replacement - "REMIND" to "REMIND-MAgPIE"

2021-11-21T13:34:46Z

Text replacement - "REMIND" to "REMIND-MAgPIE"

← Older revision		Revision as of 15:34, 21 November 2021
Line 1:		Line 1:
	{{ModelDocumentationTemplate		{{ModelDocumentationTemplate
	\|IsEmpty=No		\|IsEmpty=No
	\|IsDocumentationOf=REMIND		\|IsDocumentationOf=REMIND-MAgPIE
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
	Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. ~~REMIND’s~~ default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND GDP is measured in market exchange rates (MER).		Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND-MAgPIE. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND-MAgPIE’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND-MAgPIE, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND-MAgPIE GDP is measured in market exchange rates (MER).

	<figure id="fig:~~REMIND_3~~">		<figure id="fig:REMIND-MAgPIE_3">
	[[File: Figure Socio-economic drivers - REMIND.JPG]]		[[File: Figure Socio-economic drivers - REMIND-MAgPIE.JPG]]
	</figure>		</figure>

	'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.		'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND-MAgPIE SSP2 (“Middle-of-the-Road”) scenario.

Mathijs Harmsen: Mathijs Harmsen moved page Socio-economic drivers - REMIND to Socio-economic drivers - REMIND-MAgPIE without leaving a redirect: Text replacement - "REMIND" to "REMIND-MAgPIE"

2021-11-18T12:14:12Z

Mathijs Harmsen moved page Socio-economic drivers - REMIND to Socio-economic drivers - REMIND-MAgPIE without leaving a redirect: Text replacement - "REMIND" to "REMIND-MAgPIE"

← Older revision

Revision as of 14:14, 18 November 2021

Laura Delsa at 10:28, 3 February 2017

2017-02-03T10:28:20Z

← Older revision		Revision as of 12:28, 3 February 2017
Line 4:		Line 4:
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
	Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC ~~and~~ Lutz 2016</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. 2015</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill et al. ~~2014~~</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND GDP is measured in market exchange rates (MER).		Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC S, Lutz W (2016) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change in press. doi: 10.1016/j.gloenvcha.2014.06.004</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. (2015) Long-term growth projections in Shared Socioeconomic Pathways. Submitted to Global Environmental Change (submitted)</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill BC, Kriegler E, Riahi K, et al (2014) A new scenario framework for climate change research: the concept of shared socioeconomic pathways. Climatic Change 122:387–400. doi: 10.1007/s10584-013-0905-2</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND GDP is measured in market exchange rates (MER).

	<figure id="fig:REMIND_3">		<figure id="fig:REMIND_3">

Laura Delsa at 10:26, 3 February 2017

2017-02-03T10:26:44Z

← Older revision		Revision as of 12:26, 3 February 2017
Line 11:		Line 11:

	'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.		'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.


























			<references />

Laura Delsa at 10:26, 3 February 2017

2017-02-03T10:26:06Z

← Older revision		Revision as of 12:26, 3 February 2017
Line 4:		Line 4:
	\|DocumentationCategory=Socio-economic drivers		\|DocumentationCategory=Socio-economic drivers
	}}		}}
	Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND’s default population projections (both total population as well as working age population) are based on IIASA (KC and Lutz 2016) (and the GDP scenarios from the OECD (Dellink et al. 2015). Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios (O’Neill et al. 2014). For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND GDP is measured in market exchange rates (MER).		Population and GDP are main drivers of future energy demand and, thus, GHG emissions in REMIND. We base population and GDP inputs on the Shared Socio-economic Pathway (SSP) scenarios. REMIND’s default population projections (both total population as well as working age population) are based on IIASA <ref>KC and Lutz 2016</ref> (and the GDP scenarios from the OECD <ref>Dellink et al. 2015</ref>. Both Population and GDP scenario data are available at https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about. These projections are available for all five different SSP scenarios <ref>O’Neill et al. 2014</ref>. For default scenarios, we use SSP2 scenario data as they represent a middle-of-the road scenario. To calibrate GDP, which is an endogenous result of the growth engine in REMIND, we calibrate labor productivity parameters in an iterative procedure so as to reproduce the OECD's GDP reference scenarios. Within REMIND GDP is measured in market exchange rates (MER).

	<figure id="fig:REMIND_3">		<figure id="fig:REMIND_3">

Laura Delsa at 14:39, 1 February 2017

2017-02-01T14:39:54Z

← Older revision		Revision as of 16:39, 1 February 2017
Line 10:		Line 10:
	</figure>		</figure>

	'''Figure 3'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.		'''Figure 1'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.

Laura Delsa at 10:30, 1 February 2017

2017-02-01T10:30:41Z

← Older revision		Revision as of 12:30, 1 February 2017
Line 10:		Line 10:
	</figure>		</figure>

	Figure 3. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.		'''Figure 3'''. Projections of (a) population and (b) GDP used in the REMIND SSP2 (“Middle-of-the-Road”) scenario.