The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design

Antimiani, Alessandro; Costantini, Valeria; Paglialunga, Elena

doi:10.1016/j.econmod.2015.07.015

Cited by 49 publications

(20 citation statements)

References 31 publications

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“…In addition to integrated assessment models (Nordhaus, 1992b;Farmer et al, 2015), traditional approaches include computable general equilibrium models (Antimiani et al, 2015) or inputoutput frameworks (Su et al, 2010). More recently, climate-change analyses have started using agent-based models or stock-flow consistent models (Monasterolo and Raberto, 2018;Dafermos et al, 2018).…”

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confidence: 99%

The Heat Is on: A Framework for Measuring Financial Stress Under Disruptive Energy Transition Scenarios

et al. 2019

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confidence: 99%

The Heat Is on: A Framework for Measuring Financial Stress Under Disruptive Energy Transition Scenarios

et al. 2019

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“…When splitting the sector using quantity shares of BOF and EAF, we preserved the value of total steel 4 Appendix A.1 provides an overview of the production structure together with overview tables of the regions and sectors employed in the model. Appendix A.3 offers sensitivity analyses of the results to the elasticity of substitution between energy and capital, which is a key parameter in CGE-based simulations (Antimiani et al, 2015). 5 See Table A.2 for the composition of these regions.…”

Section: Splitting Eaf and Bof Steel In Gtapmentioning

confidence: 99%

Sectoral Targets to Address Competitiveness — A Cge Analysis With Focus on the Global Steel Sector

et al. 2019

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In the wake of the Paris Climate Agreement, countries may employ sectoral approaches. These allow for efficiency gains while at the same time addressing the concerns of competitiveness and carbon leakage. Applying a multi-country, multi-sector dynamic CGE model, this paper explores the role of sector emission targets for the steel sector in an international agreement, their interaction with emissions trading systems, and to which extent sector targets may address competitiveness concerns. To better reflect technological realities, the steel sector is disaggregated into its two main industries: primary fossil fuel-based steel production (BOF) and secondary scrap recycling steel production (EAF). The policy simulations suggest that sectoral targets may effectively counter the (negative) output and competitiveness effects of differences in the stringency of climate policy across countries. BOF steel contributes significantly more to emission reductions than EAF steel. Moreover, the output effects of BOF and EAF are of opposite signs.

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“…The use of CGE models and EIO‐LCA's to analyze the energy‐environment nexus has continuously grown and has many examples to offer, mainly focusing on carbon emissions, and carbon price, emissions reductions and costs, and, most important, land use and land‐use change. For land‐use change, an important publication dealing with deforestation and emissions found that food output can increase without land supply expansion.…”

Section: Introductionmentioning

confidence: 99%

“…To satisfy the objectives proposed by the project, especially its interest in economy-wide changes in feedstock (from fossil to biobased), computable general equilibrium modeling (CGE) was chosen as the basic methodology, integrated with an economic input-output life cycle analysis (EIO-LCA). The use of CGE models and EIO-LCA's to analyze the energy-environment nexus has continuously grown and has many examples to offer, mainly focusing on carbon emissions, and carbon price, [9][10][11][12] emissions reductions and costs, 13,14 and, most important, land use and land-use change. For land-use change, an important publication dealing with deforestation and emissions 15 found that food output can increase without land supply expansion.…”

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confidence: 99%

The potential of a bioeconomy to reduce Brazilian GHG emissions towards 2030: a CGE‐based life cycle analysis

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et al. 2019

Biofuels Bioprod Bioref

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Brazil is one of the largest emitters of greenhouse gases in the world with most of its emissions coming from the land use, land use change, and forestry (LULUCF) sector. New commitments have been set by the Paris Agreement and are reflected in the country's Nationally Determined Contribution (NDC). The Brazilian NDC has three main pillars to reduce emissions: increasing the share of biomass in the total primary energy supply to 18%, reducing deforestation, and achieving 45% of renewable energy in the energy mix. It is important to enlarge the share of biomass in the Brazilian economy, but it is also important to assess the potential impacts on deforestation in order to set the right strategy eventually. This study is thus an effort to investigate the contributions of a biobased economy to reduce Brazilian emissions, considering the broader concept of the bioeconomy, using biomass for energy, chemicals, and materials. To satisfy the objectives of the project, especially those related to its interest in economy‐wide changes in feedstock (from fossil to biobased), computable general equilibrium modeling (CGE) was chosen as the basic methodology integrated with an economic input–output life cycle analysis (EIO‐LCA). Results show that the impacts of the bioeconomy scenarios are positive but not sufficiently high to reduce the estimated emissions drastically. Emissions by the energy sector produce the highest reductions (7.5%) but the 12% increase in the LULUCF sector offsets those reduction. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd

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The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design

Cited by 49 publications

References 31 publications

The Heat Is on: A Framework for Measuring Financial Stress Under Disruptive Energy Transition Scenarios

The Heat Is on: A Framework for Measuring Financial Stress Under Disruptive Energy Transition Scenarios

Sectoral Targets to Address Competitiveness — A Cge Analysis With Focus on the Global Steel Sector

The potential of a bioeconomy to reduce Brazilian GHG emissions towards 2030: a CGE‐based life cycle analysis

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