|
RIST |
4 |
0,6 |
12,0 |
5,1 |
|
KONUS |
4 |
2,0 |
220 |
9,2 |
|
Bio MeT |
20 |
77 |
37,4 |
20,5 |
|
IAW 2010 |
8 |
2,6 |
28,3 |
9,2 |
|
Totai |
257 |
68,6 |
29,8 |
230,6 |
|
Among: Projects applied from... | ||||
|
industrial companies |
143 |
32J |
x |
x |
|
associations (included nonprofit |
61 |
22,3 |
x |
x |
|
universities |
31 |
8,6 |
x |
x |
|
research facilities |
22 |
57 |
x |
x |
|
Project is.... | ||||
|
a office |
23 |
ÎÏ6 |
x |
x |
|
a single project |
80 |
327 |
x |
x |
|
a cooperative project |
154 |
24,3 |
x |
x |
|
1 March 2002. | ||||
|
Source: BMBF. |
DIW Berlin _________2002 |
However, the different speeds with which projects were approved could also be linked to
individual regions’ peculiarities. In many regions, the number, scale and type of projects had
not yet been confirmed at the beginning of the period under consideration in this study. The
project’s time sequence often had to be restructured, and some actors dropped out or new
ones joined. In addition to these factors, the networks’ priorities or the participants’ previous
experience of receiving support also had an influence on the speed at which the approval
process progressed. The following examines the importance of network-specific factors in
this process.
The connection between network development and project approval
As previously mentioned, networks differ according to their priorities, structure of participants,
level of development and not least according to the amount of progress made in the project
approval process. Clear links exist among these factors. For example, the networks’ priorities
can influence the structure and perhaps even the number of participants. The structure and
size of networks can also have an influence - via participants’ performance level or previous
experience - on the speed of project approval. The range and precision of defined network
aims, the partners’ willingness to cooperate, and the competency of network management
are also very important. In view of the complexity of interactions and the limited number of
cases available for study, we did not attempt to test these connections statistically. An
estimation using selected factors came to the conclusion that those InnoRegio networks that
were better developed in structure and efficiency reached the project implementation stage
more quickly. Various connections are discussed in the following.
Network composition
Research and producer networks have relatively minor problems in submitting good
applications for support (Table 3). In the case of research networks, this may be due to the
15