Objective
The overall objective of the project is to collect and analyze new data on non-tariff measures (NTMs), particularly on governmental standards and regulations that prescribe the conditions for importing agri-food products into the EU market and into the markets of the main competing players. Furthermore, impacts from EU NTBs on least developing country (LDC) exports are examined. The project will deliver the following results: 1. An analytical framework for defining measures, methods, products and countries. 2. A data base on NTMs in EU, USA, Canada, Japan, China, India, Brazil, Argentina, Australia, Russia and New Zealand. 3. Comparative analyses on the impact of NTMs on agri-food trade of the EU. 4. Policy recommendations from case studies for quantifying NTMs on fruits and vegetables, meat and dairy trade clusters with the EU. 5. Policy recommendations from case studies on the impacts of EU private and public standards in LDCs. 6. Dissemination of project results to key stakeholders. This will be achieved: A. By optimizing complementarities of the project with ongoing NTM research on the TRAINS data base at UNCTAD. B. By organizing the research work in research, database, management and dissemination work packages. C. By developing research methodologies that are innovative and robust, optimizing the direct usefulness of the end results for the end users. D. By proposing a partner consortium that together reunites the relevant needs, for: • Scientific excellence and international project experience • Appropriate geographic coverage to collect the required data in all countries • Linkages and complementarities with ongoing international NTM analyses (UNCTAD, OECD, World Bank, IFPRI) • Policy contacts, dialogue and influence • Efficient and effective project management E. With a budget of 314.5 person months, 2.372 M€ EC request, for 19 partners, over 30 months.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences databases
- agricultural sciences animal and dairy science dairy
- agricultural sciences agriculture, forestry, and fisheries agriculture horticulture fruit growing
- agricultural sciences agriculture, forestry, and fisheries agriculture horticulture vegetable growing
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-KBBE-2008-2B
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
75016 Paris
France
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Participants (18)
53113 BONN
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BN1 9RE Brighton - Falmer
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75007 PARIS CEDEX 07
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3000 Leuven
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05508 220 SAO PAULO SP
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C1033AAE Buenos Aires
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24061 Blacksburg Va
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G1V 0A6 Quebec
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9054 Dunedin
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110 003 New Delhi
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20036 Washington DC
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109029 Moscow
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949 76 Nitra
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100101 BEIJING
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2006 SYDNEY
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560 0056 TOYONAKA OSAKA
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202-0015 TOKYO
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6708 PB Wageningen
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