Economic activity - GCAM: Difference between revisions

From IAMC-Documentation
Jump to navigation Jump to search
mNo edit summary
No edit summary
 
(6 intermediate revisions by the same user not shown)
Line 2: Line 2:
|IsDocumentationOf=GCAM
|IsDocumentationOf=GCAM
|DocumentationCategory=Economic activity
|DocumentationCategory=Economic activity
}}
}}GCAM’s inputs include information on the rate of per capita income growth for each of GCAM’s energy-economic regions. GCAM requires globally consistent data sets for each of its historical model periods, currently 1990, 2005, 2010 and 2015, to initialize the model. Each scenario requires assumptions about per capita GDP growth for future time periods.
Most of the economic activities represented in GCAM present us with a choice among several ways to produce the end result of the activity. Examples of these choices include choosing between different fuels or feed stocks, between different technologies, and between transportation modes. In some cases the choice is between different uses of a limited resource, such as when we allocate land area to different uses. In each of these cases we must allocate the total activity to the available alternatives.
* GDP Per Capita Growth: The annual average rate of growth for per capita GDP over each time step in the projection. Time steps are 5 years by default.
The macro-economic module takes population and GDP per capita growth to produce overall GDP in each GCAM energy-economic region. See the [http://jgcri.github.io/gcam-doc/inputs_economy.html socioeconomic inputs] section and the [http://jgcri.github.io/gcam-doc/economy.html economy] section for more information.  


Choice in GCAM is based on a single numerical value that orders the alternatives by preference. Generically, we call this the ''choice indicator'', p. In practice the choice indicator is either cost or profit rate, though other indicators are possible in principle. In cases where multiple factors influence a choice, such as passenger transportation (where faster modes are more desirable), the additional factors are converted into a cost penalty and added to the basic cost to produce a single indicator that incorporates all of the relevant factors [http://jgcri.github.io/gcam-doc/choice.html <nowiki>[1]</nowiki>].
Historical population and observed GDP are used to calibrate a GCAM simulation using data from 1990, 2005, 2010, and 2015. Prognostic values for population and GDP per capita growth rates are provided by the user, though a default set is provided in the GCAM data base. Alternative assumptions associated with the SSPs are also implemented in the GCAM implementation of the [http://jgcri.github.io/gcam-doc/ssp.html Shared-Socioeconomic Pathways].

Latest revision as of 17:04, 15 June 2022

Alert-warning.png Note: The documentation of GCAM is 'under review' and is not yet 'published'!

Model Documentation - GCAM

Corresponding documentation
Previous versions
No previous version available
Model information
Model link
Institution Pacific Northwest National Laboratory, Joint Global Change Research Institute (PNNL, JGCRI), USA, https://www.pnnl.gov/projects/jgcri.
Solution concept General equilibrium (closed economy)GCAM solves all energy, water, and land markets simultaneously
Solution method Recursive dynamic solution method
Anticipation GCAM 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.

GCAM’s inputs include information on the rate of per capita income growth for each of GCAM’s energy-economic regions. GCAM requires globally consistent data sets for each of its historical model periods, currently 1990, 2005, 2010 and 2015, to initialize the model. Each scenario requires assumptions about per capita GDP growth for future time periods.

  • GDP Per Capita Growth: The annual average rate of growth for per capita GDP over each time step in the projection. Time steps are 5 years by default.

The macro-economic module takes population and GDP per capita growth to produce overall GDP in each GCAM energy-economic region. See the socioeconomic inputs section and the economy section for more information.

Historical population and observed GDP are used to calibrate a GCAM simulation using data from 1990, 2005, 2010, and 2015. Prognostic values for population and GDP per capita growth rates are provided by the user, though a default set is provided in the GCAM data base. Alternative assumptions associated with the SSPs are also implemented in the GCAM implementation of the Shared-Socioeconomic Pathways.

Retrieved from "https://www.iamcdocumentation.eu/index.php?title=Economic_activity_-_GCAM&oldid=15669"