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Renewable Energy
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The role of the building sector for reducing energy consumption and greenhouse gases: An Italian case study

Authors: Francesco Guarino; Maurizio Cellura; Marina Mistretta; Sonia Longo; Aldo Orioli;

The role of the building sector for reducing energy consumption and greenhouse gases: An Italian case study

Abstract

The paper presents one of the first Italian experiences assessing the effectiveness of sustainable production and consumption strategies. The authors developed an energy and environmental extended input–output model, combined with the life cycle assessment, to analyse the role of the building sector in the reduction of Italian energy consumption and CO2 emissions. In detail, the model allows to assess the energy and environmental benefits arising from the Italian tax deduction policy for energy retrofit actions of buildings. Moreover, the authors defined an original model to assess the indirect rebound effect caused by the energy retrofit actions. The outcomes of the research point out that the assessment of the benefits arising from a specific sustainable policy, strongly depends on: - the indirect energy consumed by industry to produce goods and services needed for the policy actuation; - the indirect energy saving, owing to the implemented policy, which in the examined case study has the same order of magnitude as the direct one; - the rebound effect, often neglected in the literature, which can partially avoid the obtained benefits. The model shows wide ranges of applicability to the European context, since it uses as input economic and energy data usually available at local and/or national level for many states in Europe. It may represent a useful tool to decision-makers in the selection of policies oriented to the reduction of energy and environmental impacts caused by final consumption.

  • BIP!
    Impact byBIP!
    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).
    64
    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%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%