https://www.iamcdocumentation.eu/api.php?action=feedcontributions&feedformat=atom&user=Mohamad+Hejazi 2026-04-21T10:00:22Z User contributions MediaWiki 1.39.15 https://www.iamcdocumentation.eu/index.php?title=GCAM-KSA&diff=15859 2023-04-20T11:19:38Z

<p>Mohamad Hejazi: </p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-KSA<br /> |Version=1.0<br /> |ModelLink=https://github.com/KAPSARC/gcam-ksa<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-KSA is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of the GCAM model.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM-KSA is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year<br /> |Horizon=2100<br /> |Nr=33<br /> |Region=KSA; USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Caribbean; Colombia; South America_Northern; South America_Southern<br /> |PoliciesOption=Emission tax; Emission pricing; Cap and trade; Fuel taxes; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate<br /> |PopulationOption=Yes (exogenous)<br /> |PopulationAgeStructureOption=Yes (exogenous)<br /> |UrbanizationRateOption=Yes (exogenous)<br /> |GDPOption=Yes (exogenous)<br /> |LaborProductivityOption=Yes (exogenous)<br /> |TotalFactorProductivityOption=Yes (exogenous)<br /> |AutonomousEnergyEfficiencyImprovementsOption=Yes (exogenous)<br /> }}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=KAPSARC<br /> |institution=King Abdullah Petroleum Studies and Research Center<br /> |link=https://www.kapsarc.org/<br /> |country=Saudi Arabia<br /> }}</div>

Mohamad Hejazi https://www.iamcdocumentation.eu/index.php?title=GCAM-KSA&diff=15858 2023-04-20T11:17:01Z

<p>Mohamad Hejazi: Populating the GCAM-KSA wiki page</p> <hr /> <div>{{ModelTemplate}}<br /> {{ModelInfoTemplate<br /> |Name=GCAM-KSA<br /> |Version=1.0<br /> |ModelLink=https://github.com/KAPSARC/gcam-ksa<br /> |participation=reference card only<br /> |processState=in preparation<br /> }}<br /> {{ScopeMethodTemplate<br /> |ModelTypeOption=Integrated assessment model<br /> |GeographicalScopeOption=Global<br /> |Objective=GCAM-KSA is a global integrated assessment model that explores the interactions among economy, energy, water, land, and climate systems in a single computational platform. It is a modified version of the GCAM model.<br /> |SolutionConceptOption=Partial equilibrium (price elastic demand)<br /> |SolutionHorizonOption=Recursive dynamic (myopic)<br /> |SolutionMethod=Recursive dynamic solution method<br /> |Anticipation=GCAM-KSA is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.<br /> |BaseYear=2015<br /> |TimeSteps=5-year<br /> |Horizon=2100<br /> |Nr=33<br /> |Region=KSA; USA; Canada; Mexico; Australia_NZ; Japan; South Korea; EU-12; EU-15; European Free Trade Association; Europe_Non_EU; Europe_Eastern; Russia; China; Taiwan; Central Asia; South Asia; Southeast Asia; Indonesia; India; Pakistan; Middle East; Africa_Eastern; Africa_Northern; Africa_Southern; Africa_Western; South Africa; Argentina; Brazil; Central America and Caribbean; Colombia; South America_Northern; South America_Southern<br /> |PoliciesOption=Emission tax; Emission pricing; Cap and trade; Fuel taxes; Fuel subsidies; Feed-in-tariff; Portfolio standard; Capacity targets; Emission standards; Energy efficiency standards; Agricultural producer subsidies; Agricultural consumer subsidies; Land protection; Pricing carbon stocks<br /> }}<br /> {{Socio-economicTemplate}}<br /> {{Macro-economyTemplate}}<br /> {{EnergyTemplate}}<br /> {{Land-useTemplate}}<br /> {{EmissionClimateTemplate}}<br /> {{InstitutionTemplate<br /> |abbr=KAPSARC<br /> |institution=King Abdullah Petroleum Studies and Research Center<br /> |link=https://www.kapsarc.org/<br /> |country=Saudi Arabia<br /> }}</div>

Mohamad Hejazi