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Content archived on 2024-05-29

Dynamic regions in a knowledge-driven global economy: lessons and policy implications for the EU

Objective

This research project will analyse the growth performance of emerging dynamic regions, (China, India, SE Asia, Brazil, Russia, Central Europe), examine their shifting comparative advantages and roles in a knowledge-driven world economy and draw lessons and policy implications for the EU from:
a) the factors underlying growth performance, particularly the role of knowledge and innovation in fostering growth at firm, industry, region and country levels;
b) the role of shifting comparative advantages in the new growth regions, on patterns of world growth and development, competitiveness, inequalities and convergence;
c) public policies shaping the dynamic economic performance of firms, industries, regions and countries to find lessons and policy implications for the EU. Research will be organised in four co-ordinated and complementary workpackages (WPs).

WP 1, Dynamic growth regions, innovation and competitiveness in a knowledge-driven world economy will provide a theoretical and methodological framework for the research. WP 2 Understanding the growth performance of dynamic regions will analyse the sources and driving forces of dynamic growth. WP 3, Consequences of dynamic growth will identify changing comparative advantages and consequences of dynamic growth on world patterns of growth and development, competitiveness, inequalities and convergence. WP 4 Emerging dynamic growth regions:

Lessons and policy implications for the EU will summarise the main findings of WP 2 & 3 and assess their policy implications for the EU. In addition, the research team will analyse the role of public policies in shaping the dynamic economic performance of firms, industries, regions and countries. The research output will contribute to the advancement of theory, methodology and empirical analysis of the factors driving dynamic spaces in the world economy and their implications for EU competitiveness and growth.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP6-2004-CITIZENS-5
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Funding Scheme

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STREP - Specific Targeted Research Project

Coordinator

ECONOMIC AND SOCIAL RESEARCH INSTITUTE
EU contribution
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Total cost

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Participants (10)

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