Sprečavanje katastrofa

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Financial aid for Member States and countries still negotiating the terms of their accession to the EU which are seriously affected by a major public health emergency

Opinion
Usvojeno on 02/03/2020
Referentni dokument: 
ECO/516-EESC-2020-01535-00-01-pac-tra
Referral: 
COM(2020) 114 final 2020/0044 COD
General Rapporteur: 
Stefano PALMIERI (Workers - GR II)

Mišljenje EGSO-a: Financial aid for Member States and countries still negotiating the terms of their accession to the EU which are seriously affected by a major public health emergency

Downloads: 

Position paper - Financial assistance to Member States affected by a major public health emergency

Strengthen EU's civil protection response - rescEU

Opinion
Usvojeno on 18/10/2018
Referentni dokument: 
NAT/750-EESC-2018-03220
Referral: 
COM(2017) 772 final 2017/0309 CODCOM(2017) 772 final 2017/0309 CODCOM(2017) 772 final 2017/0309 CODCOM(2017) 773 final
Rapporteur: 
Dimitris DIMITRIADIS (Employers - GR I / Greece)

The proposal is intended to introduce some targeted changes to Council Decision No 1313/2013/EU on a Union Civil Protection Mechanism (UCPM), under which the European Union supports, coordinates and supplements the action of Member States in the field of civil protection to prevent, prepare for and respond to natural and man-made disasters within and outside the Union. The proposal acknowledges that disaster prevention efforts are crucial to limit the need for crisis and emergency support.

Mišljenje EGSO-a: Strengthen EU's civil protection response - rescEU

The cost of climate change on households and families in the EU

Publication
Study
80 pages

This study investigates the major climate-related risks for households in the EU by quantifying the relationship between a set of selected climate-hazards metrics, households’ income by source, and sector-specific expenditures, capturing both the climate induced cost of impacts and adaptation measures. This analysis is complemented with the assessment of mitigation policy costs for households using a mixed modelling approach.

Published in: 
2023
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