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EUROPEAN ENERGY EFFICIENCY AND DECARBONIZATION STRATEGIES BEYOND 2030 — A SECTORAL MULTI-MODEL DECOMPOSITION

handle: 10278/3695675
Energy efficiency and decarbonization are important elements of climate change mitigation. We draw on European mitigation scenarios from the EMF28 modeling exercise to decompose economy-wide and sectoral emissions into their main components. We utilize the Logarithmic Mean Divisia Index (LMDI) to gain insights into five effects: affluence, energy intensity, carbon intensity, conversion efficiency, and structural change. Economy-wide analysis suggests that energy efficiency improvements (including end-use efficiency of production and structural change of the economy) determine emission reductions short to medium term while decarbonization becomes more important in the long term. Sectoral analysis suggests that electricity generation holds the largest potential for decarbonization. Mitigation in the transport and energy-intensive sectors is limited by technology availability, forcing output and energy inputs to decline to meet the given mitigation pathways. We conclude that energy efficiency improvements could bridge the time until carbon-free technologies mature, while their quick development remains essential.
- Central Maine Community College United States
- Centre National de la Recherche Scientifique France
- Centre National de la Recherche Scientifique France
- UNIVERSITY COLLEGE LONDON United Kingdom
- Economic Research Service United States
[SHS.ECO] Humanities and Social Sciences/Economies and finances, 330, Q5, Q4, 338, Decomposition analysis, decarbonization, model intercomparison, Decomposition Analysis, Decarbonization, Model Intercomparison, [ SHS.ECO ] Humanities and Social Sciences/Economies and finances, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Q51, Decomposition analysis,decarbonization,model intercomparison, decarbonization, ECO] Humanities and Social Sciences/Economy and finances [[SHS], [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Decarbonization, Decomposition analysis, Model Intercomparison, Decomposition Analysis, model intercomparison, ECO] Sciences de l'Homme et Société/Economie et finances [[SHS], ddc: ddc:330, jel: jel:Q4, jel: jel:Q5, jel: jel:Q51
[SHS.ECO] Humanities and Social Sciences/Economies and finances, 330, Q5, Q4, 338, Decomposition analysis, decarbonization, model intercomparison, Decomposition Analysis, Decarbonization, Model Intercomparison, [ SHS.ECO ] Humanities and Social Sciences/Economies and finances, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Q51, Decomposition analysis,decarbonization,model intercomparison, decarbonization, ECO] Humanities and Social Sciences/Economy and finances [[SHS], [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Decarbonization, Decomposition analysis, Model Intercomparison, Decomposition Analysis, model intercomparison, ECO] Sciences de l'Homme et Société/Economie et finances [[SHS], ddc: ddc:330, jel: jel:Q4, jel: jel:Q5, jel: jel:Q51
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).43 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
