TABLE 1
Summary Statistics and Correlations
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 1. Founding | 1984.5 | 2.80 | |||||||
| 2. Cit/pat | 4.68 | 10.69 | .-422** | ||||||
| 3. Ln rd | 1.45 | .91 | .446** | -.247 | |||||
| 4. Ln sales | .87 | 1.69 | .120 | -.127 | .533** | ||||
| 5. N partn. | 2.90 | 2.73 | -.086 | .080 | .329** | .383** | |||
| 6. N patents | 8.38 | 11.05 | -.184 | -.010 | .296* | .233* | .397** | ||
| 7. R&D age | 49.48 | 29.99 | -.321** | .260* | -.032 | .289* | .112 | .081 | |
| 8. N R&D | 2.21 | 2.23 | -.181 | .123 | .331* | .402 | .861** | .463** | .102 |
N = 103
* p < 0.05, ** p < 0.01 (twotailed tests)
Independent variables. Independent
variables of the study were the cumulative number of R&D
cooperative partners (N R&D), partner age (industry
incumbency; R&D age) and partner innovativeness (Innov).
PaineWebber and Genguide directories, Predicasts, and
various news databases were the sources of the cooperation data:
a relationship was recorded only if a record of it was found in
two independent sources. A laggedvariable design was used:
data for the independent variables were collected for the first
five years since the firms founding. The data included all
cooperative relationships (N partn.) that were started during
this period. The purpose of the relationship was also coded to
distinguish between technological and other kinds of
relationships. The age of the partner was measured at the time
when the cooperation started.
Control variables. Since R&D expenditure
of the company is likely to affect innovative output and growth
of high technology firms, average R&D expenditures for years
35 (Ln rd) were collected for each firm (adjusted for
inflation and logged). We also controlled for the differences in
founding conditions and citation periods by including the
founding year of the startup (Founding). See Table 1 for the descriptive statistics of all
variables.
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