2015
DOI: 10.3389/fenvs.2015.00074
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Hybrid Bottom-up/Top-down Energy and Economy Outlooks: A Review of IMACLIM-S Experiments

Abstract: Keywords: hybrid energy economy modeling, induced production frontier, technical change modeling, hybrid energy economy accounts, climate and energy policy modeling Ghersi Surveying IMACLIM-S Hybrid Modeling Experiments

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Cited by 17 publications
(17 citation statements)
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“…While standard top-down models are incapable of incorporating technical information on energy systems, bottom-up models do not account for the macroeconomic costs, description of investment markets and feedbacks between macroeconomic aspects and the transition of energy systems. To generate a consistent picture of the Indian energy-economy system, we resort to model coupling through the iterative exchange of outputs and inputs up to numerical convergence, as discussed in Ghersi (2015). This convergence method has been used in the past, for example in the Swedish (Krook-Riekkola, Berg, Ahlgren, & Söderholm, 2017) and Portuguese (Fortes, Simões, Seixas, Van Regemorter, & Ferreira, 2013) contexts.…”
Section: Methodsmentioning
confidence: 99%
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“…While standard top-down models are incapable of incorporating technical information on energy systems, bottom-up models do not account for the macroeconomic costs, description of investment markets and feedbacks between macroeconomic aspects and the transition of energy systems. To generate a consistent picture of the Indian energy-economy system, we resort to model coupling through the iterative exchange of outputs and inputs up to numerical convergence, as discussed in Ghersi (2015). This convergence method has been used in the past, for example in the Swedish (Krook-Riekkola, Berg, Ahlgren, & Söderholm, 2017) and Portuguese (Fortes, Simões, Seixas, Van Regemorter, & Ferreira, 2013) contexts.…”
Section: Methodsmentioning
confidence: 99%
“…The IMACLIM model is a multi-sectoral dynamic recursive model 1 that pictures economic growth as proceeding from exogenous increases of labour supply and labour productivity. It is specifically designed to accommodate exogenous BU information on energy supply, demand and trade (Ghersi, 2015), thereby renouncing microfoundation of the producers' and consumer's energy supply and consumption behaviours in favour of forced technical coefficients. IMACLIM-IND extends the process to the capital intensity of important non-energy sectors, building on the annualized investment costs per unit output reported by AIM/Enduse for the iron & steel, cement, chemical & petrochemical, textile and aluminium sectors.…”
Section: Methodsmentioning
confidence: 99%
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“…In the top-down approach, a set of criteria and indicators initially generated is used by a team of experts who adapt and modify this set according to the local situation. In the bottom-up approach, local actors are actively involved in a participatory manner by proposing criteria and indicators based on their perception of the individual situation [146,147].…”
Section: Participationmentioning
confidence: 99%
“…One foremost constraint is full exogeneity of the energy system, on account of KLEM being designed to couple with BU energy modelling (Ghersi, 2015). The growth trajectories traced by KLEM thus build around exogenous energy volumes.…”
Section: A Constrained Solow Growth Modelmentioning
confidence: 99%