GTAP Resources: Resource Display
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"Sectoral economic impacts of CO2 control policies under low level stabilization targets: A study with the hybrid model DEARS" by Homma, Takashi, Shunsuke Mori, Keigo Akimoto, Toshimasa Tomoda and Yasuhiro Murota Abstract This study compares the economic impacts of different stabilizing levels of atmospheric CO2 concentration by a new intertemporal energy-economic optimization model, namely, DEARS (Dynamic Energy-economic model with multi-Regions and multi-Sectors. In this paper, we focus on how the sectoral economic activities are affected by the carbon control policies up to the middle of this century. The model has the input-output structures defined by the Leontief production function based on the assumption of the time-series input-output coefficients scenarios with changes in technical structures. Simulation studies under the carbon emission policies are conducted. The impacts of sectoral productions on economic activities in the carbon stabilization cases are dependent on sectoral characteristics; the carbon emission reduction policies have less economic impacts on the sectors with less energy requirements like gservice sectorh, while they have more critical impacts on the sectors served as investment commodities like gconstruction sector,h and energy-intensive commodities like giron and steel sector.h The GDP losses and shadow prices increase within the relatively small ranges in the S650-S500-CO2 only cases while the losses in the S450-CO2 only case increase rapidly and enormously. Innovative technologies in the gtransport sectorh into energy supply sectors are required in the stabilizations at 450 ppmv-CO2 only before 2030 under the assumption of the relatively rigid substitution of energy demands using the Leontief functions as in the DEARS model. |
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- Climate change policy |
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Public Access  2007 Conference Paper (334.3 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
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Last Modified: 9/15/2023 2:05:45 PM
