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Summary and Conclusion

Knowledge Based Entrepreneurship and Regional Economic Performance

4.4 Summary and Conclusion

4 Knowledge Based Entrepreneurship 73 Hence we identify two channels by which knowledge has an impact on produc- tivity of a region’s manufacturing sector. On the one hand, parts of the technical knowledge in a region is taken on by incumbent firms, increasing productivity of a region’s manufacturing sector directly. On the other hand, parts of that technical knowledge is taken on by newly created firms that in turn increase the level of pro- ductivity as well. Note however that both trajectories describe distinct processes.

While new knowledge within incumbent firms increases the level of productivity within the existing production process, entrepreneurial activity increases it through the creation of new firms.

74 D. B. Audretsch et al.

has a positive and significant impact on economic performance. Moreover, new knowledge has a significant positive impact on the regions’ entrepreneurship capital which in turn has a significant positive impact on economic performance. Hence we can indeed identify knowledge to increase the regions’ entrepreneurship cap- ital and moreover that entrepreneurship capital to increase the regions’ economic performance. Thus we find evidence for the above hypotheses.

A straightforward policy implication would be that in a knowledge based econ- omy it is not sufficient to focus policies to generate stronger economic growth on the generation of new knowledge. Equally important is the exploration and use of new knowledge. Entrepreneurship is one mechanism that goes in that direction.

Notes

1This view has been challenged by the literature on absorptive capacity (Cohen and Levinthal, 1990).

2Scherer (1980) or CHI Research Inc. (2002). The U.S. Small Business Administration (1995, p.114) enumerates some 70 important innovations by small firms in the 20th century, ranging from low-tech innovations such as the zipper or bakelite to high-tech ones such as the nuclear magnetic resonance scanner or the microprocessor.

3See Keilbach (2000, Chapter 3) for a review.

4In that respect the notion of entrepreneurship capital is close to the one of social capital (e.g. Putnam, 1993), though not identical. See Audretsch and Keilbach (2004a) for an in-depth discussion of this issue.

5All values of the indicators are transformed to logarithms.

6P denotes the p-value or exact significance level. RMSEA (Root Mean Squared Error of Approximation) is below 0.05 for all three models which means a very good fit. Moreover, the Adjusted Goodness of Fit Index (AGFI) is 0.95 or higher for all models where values above 0.9 indicate a very good fit. See Jöreskog and Sörbom (2001) for the details of global fit indicators.

7Note, that all values of the observed indicators are transformed to logarithms.

8Scatter plots of the observed indicators R&D and patents show that these are not very strongly correlated.

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Chapter 5

What Determines Self-employment Choice