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Global trade accounted for 35% of the EU's carbon footprint in 2023, the study shows

Un studiu arată că comerțul internațional a contribuit cu 35% la amprenta de carbon a Uniunii Europene în 2023, subliniind provocările climatice actuale.

Global trade accounted for 35% of the EU's carbon footprint in 2023, the study shows

According to this instrument, emissions attributable

International trade contributed 35% to the European Union's total carbon footprint in 2023, according to a study by the European Climate Fund (ECF) and the climate consultancy firm Matière. This proportion underlines an important reality: although the EU is investing heavily in reducing emissions on its territory through plant modernization, the transition to renewable energy and the promotion of electric vehicles a significant part of its climate impact comes from imported production. Published data indicate that more than five of the EU Member States have a greater dependence of 40% of their carbon footprint on imports, excluding intra-Community trade. These developments in Spain, Austria, Malta and Ireland, where most of the emissions generated by the European Union's transportation industry are affected by the 2010 Cypriot Emissions Survey, which concluded that most of the emissions generated by the European Union's transportation industry are generated by the European Union.

According to this instrument, emissions attributable to international trade have grown at a faster pace than global emissions as a whole. Between 1995 and 2023, their share has increased by 10 percentage points, indicating a trend in the development of global supply chains that are increasingly shifting the burden of pollution to developed countries. This phenomenon creates a political contradiction for Brussels: while the EU has enacted stricter standards for domestic production, it continues to benefit from goods produced under environmental protection standards, with emissions similar to those in other parts of the world.

The ECF and Matière report argue

A particular emphasis is placed on the relationship with China, which is one of the largest trading partners and, at the same time, is one of the main sources of greenhouse gas emissions from European and European manufacturing, which is the main source of greenhouse gas emissions, which by 2023, China and China are the main sources of energy, and the main sources of energy from the European Union, which are the main sources of greenhouse gas emissions.

The ECF and Matière report argue that an effective approach to this problem is not solely to applying border duties or import restrictions, but to actively work with trade partners to harmonise environmental standards. The alignment of EU and Chinese climate requirements for products could affect trade flows equivalent to around 7% of global greenhouse gas emissions and almost a third of global trade emissions. Such agreements would therefore not only reduce emissions but also create a more balanced playing field for European trade partners, who are faced with the challenge of reducing the amounts of non-renewable greenhouse gas emissions.

It is also noted that the EU-China trade deficit has reached alarmingly high levels: according to the European Commission, the difference between the value of exports and imports between the two blocks has reached around EUR 1 billion per day. This situation, driven by a strong European demand force for Chinese high-technology products and next-generation vehicles, has led to calls to reduce dependency and to combat dumping practices, through ongoing negotiations and official visits from European officials in Beijing. In conclusion, the study shows that emission reduction efforts cannot be limited to territorial borders. To achieve the climate change objectives, the EU must also take action to reduce dependency and to combat dumping practices, through the ongoing negotiations and the formal launching of a strategy for reducing emissions from the world's most polluted air.

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Content written by Sarah Mitchell for pressblip.com editorial team, AI-assisted.

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