Back to "FAIR - Introduction"
Although the FAIR programme was divided into
five distinct scientific sectors, only four of the sectors appear
in this publication. Table 1 shows how most projects belong to generic
science and advanced technologies for nutritious foods (43%). However,
it should be noted that the breakdown is largely arbitrary as many
projects could equally qualify under the other sectors. Of greater
interest is how the project participants are split among the various
countries of Europe. Figure 1 shows the breakdown by country.
|Table 1: Project breakdown by
|Integrated production and processing chains
|Generic science and advanced technologies for
|Agriculture, forestry and rural development
|Fisheries and aquaculture
These include SMEs, RTD-Performers and/or
other organisations. The map in Figure 1 clearly shows that the
greatest number of participants hailed from the United Kingdom,
with over 15%. Spain, France, Italy, The Netherlands and Germany
then share roughly the same amount of participants with approximately
10% of the total number. The remaining countries range from around
2-5% of the total number of participants. Interestingly, of these,
two associated states, Norway and Iceland, figure prominently. This
is largely due to the projects working in the fisheries and aquaculture
sector. Not surprisingly, the two countries with the lowest number
of participants are from outside the European Union, namely Switzerland
and Israel, with 0.8% and 0.5% of the participants respectively.
When looking at the number of project co-ordinators by country,
again the same pattern emerges (Fig. 2).
In the 15 countries represented, the majority
of the 61 co-ordinators came from the United Kingdom (over 30%).
Again Spain and France were the two countries who led the next highest
number of projects accounting for 12% and 10% of the total respectively.
Organisations from The Netherlands and Belgium coordinated 8% and
7% of the projects. The remaining countries only had between 1 -
3 project co-ordinators. Ireland and Luxembourg were the only countries
from the European Union which did not lead any of the projects in
Figure 3 depicts the number of small and
medium sized enterprises (SMEs) that were present in the project.
SMEs are defined as having less than 250 employees, conforming to
the criteria of independence with either an annual turnover not
exceeding 40 million euro, or an annual balance-sheet total not
exceeding 27 million euro. Typically they are not research centres,
research institutes, contract research organisations or consultants.
However, this figure is based on information from only 43 of the
projects and so is only a representative sample. Again the United
Kingdom takes the lead with 14% of the SMEs. Compared with the other
figures, the gap between the next highest country is not so great.
Italy, Spain and France have the next highest proportion of SMEs
with around 11% and Germany 9%. The remaining countries contain
a smaller proportion of SMEs ranging from 6% (or 14) in The Netherlands
and 5% (or 11) in Portugal to less than 1% in Finland and Israel
(Two SMEs each). Only Luxembourg and the associated country, Switzerland,
were not represented by SMEs.
Figure 4 shows how the RTDPerformers are
distributed throughout Europe. RTDPerformers are organisations with
sufficient means of conducting research and technological development
at the request of the SMEs. As with the SMEs, the information is
based on data from only 43 of the 61 projects. The United Kingdom
has the highest number of RTD-Performers with over a fifth of the
total (119). France, Spain, The Netherlands and Italy all follow
with approximately 10% each. The other countries then tail off from
Germany with 8 RTDPerformers to Finland, Greece and Israel with
only 1%. Sweden had none.