COP 20 Presidency Holds Stakeholder Dialogues in Lima

Wednesday, 5 November, 2014 - 00:00

30 October 2014: A three-day dialogue event was organized by the Presidency of the 20th session of the Conference of the Parties (COP 20) to the UNFCCC, which brought together leaders from Peruvian civil society organizations and their international counterparts in preparation for COP 20.

The event took place from 27-29 October 2014, in Lima, Peru, under the theme ‘Global Stakeholders Dialogues: Taking Action on Climate Change.' Organized by the COP 20 Stakeholder Engagement Team, the aim of the dialogues was to provide a space for discussions, coordination and networking between the two sides regarding goals and expectations for the COP in Lima. According to the organizers, the event was the first in its kind organized by a COP Presidency, and came as a response to a call from the Peruvian civil society to know more about the UNFCCC observer constituencies represented in Lima. The event was structured around information sessions by the global constituencies, and private sessions between the Peruvian and international counterparts, and with the COP 20 Presidency and media representatives.

The dialogues saw presentations by international representatives of UNFCCC constituencies, including from the youth non-governmental organizations (NGOs), trade unions NGOs, business and industry NGOs, indigenous peoples' organizations, research and independent NGOs, and environmental NGOs. Among others, 60 indigenous leaders and 13 union representatives were present.

Outlining his vision and calling for participants not to “miss the opportunity” of having the COP in the country, incoming COP 20 President and Minister of Environment of Peru Manuel Pulgar-Vidal said that COP 20 will leave a legacy for Peruvians that will mean an improvement as a country and society that continues to grow sustainably.

read more: http://larc.iisd.org/news/cop-20-presidency-holds-stakeholder-dialogues-in-lima/

Work regions: 
Mountain Ranges: 

Facebook comments

randomness