Climate change mitigation: evidences from the European scenario

Idiano D' et al.

International Journal of Management and Network Economics2018https://doi.org/10.1504/ijmne.2018.095079article
ABDC C
Weight
0.26

What the paper says

The European Union (EU) member states fight climate change through the greenhouse gas emissions reduction (mitigation measures) and prepare for the unavoidable effects which have already been triggered (adaptation measures). By 2050, the EU aims to reduce its greenhouse gas emissions by 80%-95% compared with 1990 levels. New objectives up to 2030 provide for a 40% reduction of GHG emissions and an increase of 27% for renewables and energy efficiency. The aim of this work is twofold. Firstly, we present the inventory data of the greenhouse gas emissions, final energy consumption, share of renewable energy, ISO 14001, EMAS and ISO 50001 certifications in 2015 for the EU-28 member states. Then, we identify the current level achieved by the EU and by individual countries compared to the 2020 targets. Secondly, we find a correspondence between the increasing number of certified companies and the good results relating to the mitigation measures. The regulatory obligations and the growing awareness about climate change led companies to voluntarily adopting systems of environmental management and/or energy management, because they generate a series of benefits such as the improving of image return, revenues and levels of competitiveness.

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https://doi.org/https://doi.org/10.1504/ijmne.2018.095079

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@article{idiano2018,
  title        = {{Climate change mitigation: evidences from the European scenario}},
  author       = {Idiano D' et al.},
  journal      = {International Journal of Management and Network Economics},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.1504/ijmne.2018.095079},
}

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.