Model Documentation - IMACLIM-India: Difference between revisions
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{{ModelDocumentationTemplate | The IMACLIM modelling platform has been developed at CIRED, International Centre for Research in Environment and Development located in Paris, since the 1990’s. The objective has been to articulate energy and climate policies based on the hybrid energy-economy architecture. Several versions have been developed like the global recursive dynamic model IMACLIM-R World and national versions like the recursive dynamic IMACLIM-R France and the comparative static version IMACLIM-S. Further, national versions for developing countries like Brazil and South Africa have also been developed. On similar lines, we construct the version for India IMACLIM-IND discussed in the sections below. IMACLIM-IND is a computable general equilibrium model (CGEM) designed to assess the medium- to long-term macroeconomic impacts of aggregate price or quantity-based carbon policies, in an accounting framework where economic ''and'' physical flows (with a special focus on energy balances) are equilibrated. It is based on the IMACLIM-IND departs from the standard neoclassical model in the main feature that their description of the consumers’ and producers’ trade-offs, and the underlying technical systems, are specifically designed to facilitate calibration on bottom-up expertise in the energy field, with a view to guaranteeing technical realism to their simulations of even large mutations of the energy systems. | ||
IMACLIM-IND is set up to project the Indian economy for the medium term (2030) and long term (2050). The growth engine of the model results from the combination of exogenous assumptions regarding the demographics of the labour force and Harrod-neutral technical change , i.e. labour productivity gains. Growth develops under constraint of capital accumulation, which follows the simplifying assumption of proportionality to physical investment. | |||
Calibration is the first step in model set-up where the parameters and variables are inverted for computing the output from model equations. Calibration is based on hybrid Input-Output table which involves heavy data treatment.{{ModelDocumentationTemplate | |||
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Latest revision as of 14:15, 13 May 2020
The IMACLIM modelling platform has been developed at CIRED, International Centre for Research in Environment and Development located in Paris, since the 1990’s. The objective has been to articulate energy and climate policies based on the hybrid energy-economy architecture. Several versions have been developed like the global recursive dynamic model IMACLIM-R World and national versions like the recursive dynamic IMACLIM-R France and the comparative static version IMACLIM-S. Further, national versions for developing countries like Brazil and South Africa have also been developed. On similar lines, we construct the version for India IMACLIM-IND discussed in the sections below. IMACLIM-IND is a computable general equilibrium model (CGEM) designed to assess the medium- to long-term macroeconomic impacts of aggregate price or quantity-based carbon policies, in an accounting framework where economic and physical flows (with a special focus on energy balances) are equilibrated. It is based on the IMACLIM-IND departs from the standard neoclassical model in the main feature that their description of the consumers’ and producers’ trade-offs, and the underlying technical systems, are specifically designed to facilitate calibration on bottom-up expertise in the energy field, with a view to guaranteeing technical realism to their simulations of even large mutations of the energy systems.
IMACLIM-IND is set up to project the Indian economy for the medium term (2030) and long term (2050). The growth engine of the model results from the combination of exogenous assumptions regarding the demographics of the labour force and Harrod-neutral technical change , i.e. labour productivity gains. Growth develops under constraint of capital accumulation, which follows the simplifying assumption of proportionality to physical investment.
Calibration is the first step in model set-up where the parameters and variables are inverted for computing the output from model equations. Calibration is based on hybrid Input-Output table which involves heavy data treatment.
Corresponding documentation | |
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Previous versions | |
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Model information | |
Model link | |
Institution | Indian Institute of Management Lucknow (IIML), India, www.iiml.ac.in., Indian Institute of Management Ahmedabad (IIMA), India, www.iima.ac.in. |
Solution concept | General equilibrium (closed economy) |
Solution method | Optimization |
Anticipation |