Author
Lorna A. Greening
Other affiliations: Lawrence Berkeley National Laboratory, International Resources Group, University of California, Berkeley
Bio: Lorna A. Greening is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Greenhouse gas & Energy consumption. The author has an hindex of 14, co-authored 24 publications receiving 3013 citations. Previous affiliations of Lorna A. Greening include Lawrence Berkeley National Laboratory & International Resources Group.
Papers
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TL;DR: In this paper, a review of some of the relevant literature from the US offers definitions and identifies sources including direct, secondary, and economy-wide sources and concludes that the range of estimates for the size of the rebound effect is very low to moderate.
1,867 citations
TL;DR: A typology for this broad class of models is offered, some of the types of problems that may be analyzed with these methods are suggested, and the implementation of several MCDM methods in currently evolving IA frameworks are recommended.
306 citations
TL;DR: In this article, the authors compared six different methods of aggregate energy intensity decomposition applied to the same set of data, for the manufacturing sector in 10 OECD countries from 1970 to 1992.
170 citations
TL;DR: The authors examined the dynamics and composition of household adjustment to changes in the real price of gasoline using a panel of US households and found that consumers initially respond to a price rise with a much larger decrease in consumption than would be indicated by the total elasticity.
146 citations
TL;DR: In this article, the Adaptive Weighted Divisia rolling base year index specification is applied to total carbon emissions from the manufacturing sector of 10 OECD countries for the period 1971-1991.
145 citations
Cited by
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TL;DR: In this article, the authors reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation.
Abstract: Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO2 emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.
1,868 citations
TL;DR: In this paper, a review of some of the relevant literature from the US offers definitions and identifies sources including direct, secondary, and economy-wide sources and concludes that the range of estimates for the size of the rebound effect is very low to moderate.
1,867 citations
TL;DR: There is a need to have a common understanding among practitioners and consistency on the choice of decomposition methods in empirical studies, and to address the above-mentioned issues and provide recommendations.
1,487 citations
TL;DR: In this paper, the authors provide a cohesive categorisation of the most common sustainability assessment tools within the broader objective of lifting the understanding of tools from the environmentally-focused realm to that of the wider concept of sustainability.
1,306 citations