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Education, Training and Networking for Entrepreneurship in ...

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Table 9.10<br />

Size of entrepreneurs’ advisory network,<br />

by their competency<br />

Starters <strong>and</strong> owner-managers <strong>in</strong><br />

Denmark 2008<br />

Competent Less<br />

competent<br />

Large network 50 % 33 %<br />

Small network 50 % 67 %<br />

Sum 100 % 100 %<br />

Mean size 7,4 5,7<br />

N entrepreneurs 174 45<br />

The above cross-tabulations have exam<strong>in</strong>ed the<br />

relationship between two phenomena at a time,<br />

ignor<strong>in</strong>g that the relationship may be affect by<br />

other conditions. The above analyses are thus<br />

prelim<strong>in</strong>aries to an analysis that considers each<br />

phenomenon to have several causes. This more<br />

elaborate analysis comes next.<br />

Effects among entrepreneurs’ education,<br />

tra<strong>in</strong><strong>in</strong>g, competency <strong>and</strong> network<strong>in</strong>g<br />

The question now is, what are the effects among<br />

entrepreneurs’ education, tra<strong>in</strong><strong>in</strong>g, competency<br />

<strong>and</strong> network<strong>in</strong>g?<br />

More precisely, how is network size affected<br />

jo<strong>in</strong>tly by competency, tra<strong>in</strong><strong>in</strong>g <strong>and</strong> education?<br />

How is competency affected jo<strong>in</strong>tly by tra<strong>in</strong><strong>in</strong>g<br />

<strong>and</strong> education? How is tra<strong>in</strong><strong>in</strong>g affected by education,<br />

while also tak<strong>in</strong>g other conditions <strong>in</strong>to<br />

consideration, such as gender <strong>and</strong> age of the<br />

entrepreneurs?<br />

what the effects of education are upon network<strong>in</strong>g.<br />

The effects upon entrepreneurs’ competency<br />

from tra<strong>in</strong><strong>in</strong>g <strong>and</strong> education are estimated by<br />

regression (Table 9.12 <strong>in</strong> the Appendix). Entrepreneurs’<br />

tra<strong>in</strong><strong>in</strong>g promotes their competency,<br />

as we would expect. The frame of reference <strong>for</strong><br />

ascerta<strong>in</strong><strong>in</strong>g the effects of education is long<br />

higher education. Entrepreneurs with medium<br />

or short higher education tend to be less competent<br />

than entrepreneurs with long higher education.<br />

Entrepreneurs who have neither vocational<br />

nor higher education also tend to be less<br />

competent than entrepreneurs with long higher<br />

education. Vocationally educated entrepreneurs<br />

tend to be as competent as entrepreneurs<br />

with long higher education.<br />

The effects upon entrepreneurs’ tra<strong>in</strong><strong>in</strong>g from<br />

education are estimated by regression (Table<br />

9.11 <strong>in</strong> the Appendix). Entrepreneurs with vocational<br />

education, with short or medium higher<br />

education, or without vocational or higher education<br />

have received tra<strong>in</strong><strong>in</strong>g more frequently<br />

than entrepreneurs with long higher education.<br />

In other words, entrepreneurs with long higher<br />

education have especially rarely been tra<strong>in</strong>ed <strong>in</strong><br />

start<strong>in</strong>g a bus<strong>in</strong>ess.<br />

These estimated effects are shown <strong>in</strong> Figure<br />

9.2, where a positive effect is shown as a solid<br />

arrow <strong>and</strong> a negative effect as a dashed arrow,<br />

<strong>and</strong> the magnitude of an effect is shown by the<br />

thickness of the arrow.<br />

The effects upon entrepreneurs’ network size<br />

from competency, tra<strong>in</strong><strong>in</strong>g <strong>and</strong> education are<br />

estimated by regresssion (Table 9.13 <strong>in</strong> the<br />

Appendix). <strong>Tra<strong>in</strong><strong>in</strong>g</strong> has a very large <strong>and</strong> positive<br />

effect upon network<strong>in</strong>g. Competency also<br />

has a large <strong>and</strong> positive effect upon network<strong>in</strong>g.<br />

The effects of the various levels of education<br />

are hard to estimate because the size of<br />

the sample <strong>in</strong> each educational group is small,<br />

so small that we do not obta<strong>in</strong> statistical significance<br />

when test<strong>in</strong>g the effects. So we cannot<br />

conclude, with any reasonable confidence,<br />

64

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