By Peter Huber, Danuše Nerudová, Petr Rozmahel
This e-book brings jointly the paintings of researchers in japanese and Western Europe, who research competitiveness, social exclusion and sustainability from more than a few views. It examines the foremost demanding situations confronted via the european in its efforts to set up a socially inclusive and greener route to progress and develops coverage ideas to concurrently in attaining the european 2020 agenda’s long term objectives and deal with the present monetary main issue in Europe.
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Additional info for Competitiveness, Social Inclusion and Sustainability in a Diverse European Union: Perspectives from Old and New Member States
Recalling the current discussions regarding the changing perceptions of growth among European academics and policy-makers and stressing the role of a knowledge-based economy and societal and environmental issues, one should ask about the future perspective of such an approach on competitiveness evaluation. The role of medium and small enterprises focusing on high-tech, high-skilled and highly competitive businesses with high innovation potential is stressed in the EU strategic documents on the new growth path in Europe, leading to the question of whether the EU countries provide interesting conditions for such businesses.
After 2007, growth forecasts for CEECs (especially for private consumption) were significantly revised downward. Consequently, several CEECs allowed their currencies to depreciate massively so that they could improve competitiveness and cope with both capital flight and sudden stops of capital inflows. The vulnerabilities that accumulated during the pre-crisis period were further increased by adverse income shocks, leading to reforms in the European supervisory architecture. Liquidity and solvency shocks during the crisis contributed to changes in output across Europe.
In the earlier years, periphery countries created one or more smaller clusters with the CEECs but never with the core countries (Fig. 14). The average distance within clusters tends to decline over time, as observed in Fig. 15. The decline is slower in the core countries group. The extended cluster that includes the CEECs, the convergence of core and CEECs, is a result of the 15 10 AT DE BE NL FR UK DN FI SE BG RO GR IT PT ES IE CZ SK HU LT PL SI EE LI 5 0 20 2012 10 AT SE DN FI BE NL EE FR DE SI BG RO CZ SK HU PL LT LI GR PT ES IE IT 5 0 AT DE SE BE NL FR UK DN FI BG RO GR PT ES IE IT CZ EE HU LT PL LI SI SK 15 2008 Euclidean dissimilarity measure AT DE BE IE FR UK NL DN FI SE BG RO GR IT PT ES CZ SK HU LT PL SI EE LI Euclidean dissimilarity measure Euclidean dissimilarity measure 5 15 20 10 0 Euclidean dissimilarity measure 10 5 15 20 0 2004 20 2000 Fig.