The name is absent



10

Table 4

marks

regression
coefficient ,
β'

expected
T

significance

strategic aims of management

intensifying R&D-activities

1.926

6.859

0.007 **

rising the technical level of production

1.291

3.638

0.067

introducing new products

0.735

2.086

0.041 *

improvement in knowledge management

-0.146

0.864

0.801

improvement in quality of own products

-0.245

0.783

0.663

strengthen the own core competence

-0.652

0.521

0.342

develop new markets

-1.047

0.351

0.244

increasing usage of outsourcing

-1.646

0.193

0.001 ***

constant factor

-1.872

----

0.187

_____© IfM Bonn

Significant at the 5% (*) , 1% (**) or 0.1% (***) level

Cox & Snell-R2 = 0.393

Number of observations = 383

Log-Likelihood = 501.793

Regional aspects

As the model suggests, regional factors do not contribute significantly to ex-
plain the probability of the observed companies to participate in an R&D co-
operation. Comparing the German federal states with Bavaria - the region in
which the share of firms participating in R&D co-operations almost resembles
the share that has been observed nationwide - only marginal differences in the
commitment to such partnerships can be observed. While the results of the
bivariate analyses have highlighted, at least to some extent, differences be-
tween co-operation activities in Eastern and Western Germany, the multivariate
analysis makes clear that other determinants apart from location specific fac-
tors have to be held responsible for the use of this instrument. Neither regional
barriers nor accumulations in the spread of this instrument can be observed.

Industry

Unlike the firm`s place of residence the branch determines the willingness to
co-operate in R&D. As picture 1 shows, in the building industry the demand for
conjoint R&D is significantly lower than in the reference category, the industry
related services. This is indicated in the negative premise of the regression
coefficient in table 4.



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