Pregled bibliografske jedinice broj: 726344
Ex-ante Assessment of the EU-China Free Trade Agreemen
Ex-ante Assessment of the EU-China Free Trade Agreemen // 7th Annual Conference of the EuroMed Academy of Business The Future of Entrepreneurship / Vrontis, Demetris ; Weber, Yaakov ; Tsoukatos, Evagelos (ur.).
Norveška: EuroMed Press, 2014. str. 1523-1534 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Ex-ante Assessment of the EU-China Free Trade Agreemen
Autori
Rios-Morales, Ruth ; Gamberger, Dragan ; Brennan, Louis ; Schweizer, Max
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
7th Annual Conference of the EuroMed Academy of Business The Future of Entrepreneurship
/ Vrontis, Demetris ; Weber, Yaakov ; Tsoukatos, Evagelos - : EuroMed Press, 2014, 1523-1534
ISBN
978-9963-711-27-7
Skup
7th Annual Conference of the EuroMed Academy of Business The Future of Entrepreneurship
Mjesto i datum
Norveška, 18.09.2014. - 19.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Free trade agreements; International Treaties; Bilateral Trade Agreements; Double Taxation Treaties; European Union; China
Sažetak
Two of the world's largest markets, the EU and China, have initiated negotiations to break down their markets’ barriers in pursuit of a multi- billion-dollar free-trade deal. Although the European Commission has proposed a new generation of competitiveness-driven bilateral free trade agreements with emerging and developing countries, some EU member countries are skeptical of China’s trade practices which have halted Brussels and Beijing negotiations. However, some EU officials have suggested that this agreement will be a stepping stone for future liberalization of the EU economy and that a free trade agreement with China is only a matter of time. The purpose of this study is to investigate the comparative advantage, how complementary trade is between the EU and China and how similar are the exports of these prospective FTA members. This is a research paper based on secondary data analysis ; data is obtained from various official entities. This study uses statistical and machine learning techniques in order to detect meaningful trade relationships between the EU and China.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo