944 resultados para Ambient Air Pollution, China, Climate Change, Health Impact


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This paper analyses the extent of European Union (EU) actorness and effectiveness at the fifteenth United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP) meeting in Copenhagen in December 2009. For over a decade the European Union has been characterised as a leader in international climate policy-making and as an important actor in international climate change negotiations. The COP15 meeting in Copenhagen has overall brought about disappointing outcomes, especially from the perspective of the European Union. This casts doubts on EU leadership and begs the question of what has happened to EU actorness and effectiveness in this field. In terms of actorness we take Jupille and Caporaso (1998) as a point of departure and then specify a more parsimonious actorness framework that consists of cohesion and autonomy. Effectiveness (i.e. goal attainment) is seen as conceptually separate from actorness. Effectiveness is conceptualised as the result of actorness conditioned by the ‘opportunity structure’, i.e. the external context (of other actors, events and ideas) that enables or constrains EU actions. We hold that the EU’s actorness has been only moderate, especially given somewhat limited preference cohesion. In terms of the opportunity structure in Copenhagen we argue that the high degree of politicisation constrained the EU’s ability to negotiate and thus to attain its goals. Another external factor that had a substantial adverse impact on the EU’s effectiveness at the Copenhagen negotiations was the strong involvement of other actors with rather different positions, namely the United States (US) and the BASIC countries (Brazil, South Africa, India, and China).

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This Commentary finds that the US-China joint declaration on climate change, issued following the Asia-Pacific Economic Cooperation (APEC) Summit in Beijing on November 12th, is undoubtedly an important announcement by the two global economic giants responsible for emitting over 30% of the world’s GHG emissions. As such, it needs to be seen as important and relevant – a very positive development towards a new global climate change agreement in Paris. It is a challenge to those that have announced their pledges and are seen as capable of doing more, as well as to those that have not yet announced their intentions. It shows the importance and success of the UN climate change conference in Warsaw last year, when the decision was made that all Parties should announce their commitments by the first quarter of 2015. It also represents a total breakdown of the Kyoto Protocol-style separation in climate change negotiations between countries into Annex 1 and non-Annex 1, with China signalling that it is taking on the leadership role that comes with being a great economic power. In broader terms, it shows that there is scope for cooperation between the two main economic actors, even in the face of competition in other spheres. It is also a challenge to the EU, which was a leader and needs to show that there is a benefit in maintaining its leadership. Finally, agreements are deemed historic only by history. This one is important, and a potential game-changer, on the face of it. But it needs to live up to its promise. There is sufficient uncertainty for us to withhold final judgement and see if its promise materialises through implementation. But, as sober a judgement as we must make on such important matters, this announcement certainly gives us great hope that it is possible to do what needs to be done, and we must wholeheartedly welcome and applaud it.

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This paper establishes and measures key biodiversity and ecosystem health indicators and the number of world heritage sites in coastal areas at global level. It then estimates – econometrically – the indicators’ influence on the provision of tourism values through the marine ecosystem function as a harbour of biodiversity, and as a provider of amenity values and marine cultural identity. The report then focuses on the MEDPRO region, providing some estimates of the potential impact of climate change on these services for a given temperature increase scenario. Finally, the effect on ecosystemrelated tourism is computed for the four MEDPRO social economic scenarios. The analysis is enriched by some quantification of the potential costs of adaptation.

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Background. This paper examines the short-term health effects of air pollution on daily hospital admissions in Australian cities (those considered comprise more than 50% of the Australian population) for the period 1996-99. Methods: The study used a similar protocol to overseas studies and derived single city and pooled estimates using different statistical approaches to assess the accuracy of the results. Results: There was little difference between the results derived from the different statistical approaches for cardiovascular admissions, while in those for respiratory admissions there were differences. For three of the four cities (for the other the results were positive but not significant), fine particles (measured by nephelometry - bsp) and nitrogen dioxide (NO2) have a significant impact on cardiovascular admissions (for total cardiac admissions, RR=1.0856 for a one-unit increase in bsp (10(-4). m(-1)), RR=1.0023 for a 1 ppb increase in NO2). For three of the four cities (for the other, the results were negative and significant), fine particles, NO2 and ozone have a significant impact on respiratory admissions (for total elderly respiratory admissions, RR=1.0552 per 1 unit (10(-4).m(-1)) increase in bsp, RR=1.0027 per 1ppb increase in NO2, RR=10014 per 1 ppb increase in ozone for elderly asthma and COPD admissions). In all analyses the particle and NO2 impacts appear to be related. Conclusions: Similar to overseas studies, air pollution has an impact on hospital admissions in Australian cities, but there can be significant differences between cities.

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A climate envelope model was run on the distribution of four coniferous species (European silver fir, European larch, Norway spruce, and Swiss pine). The model was supported by EUFORGEN area database, ArcGIS 10 and PAST software, andREMO climate model. Prediction periods were 2011-40 and 2041-70.