Easier access to US market: representatives of micro- and nanotechnology industry in favor of TTIP

The IVAM Executive Panel is the trend indicator for the micro- and nanotechnology industry. IVAM

The industry experts are convinced that TTIP would make it easier for German high-tech companies to access the US market. Presently, especially export laws are posing high barriers to trade, which the free trade agreement would help to reduce. This would have a positive impact on the export of high-tech products to the US.

Whether the negotiations about TTIP are going to be successful is a question the micro- and nanotechnology industry representatives are uncertain about. Less than half (41 %) of respondents are convinced that the partnership will eventually come about. Just as many refrain from making a prediction.

Those who are sceptical of TTIP’s conclusion think that in some areas, such as financial regulations, too many different approaches make it impossible to come to an agreement. Supporters, however, fear that conflicting interests not only between the USA and the EU, but also within a discordant Europe, might lead to compromises that will weaken the partnership and its potential to simplify transatlantic trade relations.

In case TTIP came about, the micro- and nanotechnology experts see the USA slightly at an advantage. But the majority think that both regions – the USA and the EU – would profit to the same extent.

About the IVAM Executive Panel:

The IVAM Executive Panel is the trend indicator for the micro- and nanotechnology industry. The IVAM Microtechnology Network conducts brief periodic surveys among selected opinion leaders, executives in mostly small and medium-sized enterprises, and leading scientists. In November 2014, 17 experts from Germany and Switzerland took part in the survey on the Trade and Investment Partnership TTIP.

Weitere Informationen:

http://www.ivam.com
http://www.ivam.de/research/statistics

Media Contact

Mona Okroy-Hellweg idw - Informationsdienst Wissenschaft

All latest news from the category: Statistics

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors