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Education, Training and Networking for Entrepreneurship in ...

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Table 8.4<br />

Vocation of adults, by their competency<br />

Denmark 2003-08<br />

Competent Less<br />

competent<br />

Non-entrepreneurs 64 % 92 %<br />

Entrepreneurs 36 % 8 %<br />

Sum 100 % 100 %<br />

N adults 7.122 10.715<br />

Table 8.5<br />

Vocation of adults, by their network<strong>in</strong>g<br />

Denmark 2003-08<br />

<strong>Network<strong>in</strong>g</strong><br />

Not<br />

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

Non-entrepreneurs 71 % 90 %<br />

Entrepreneur 29 % 10 %<br />

Sum 100 % 100 %<br />

N adults 8.502 9.842<br />

Vocation is shaped by competency, <strong>in</strong> the manner<br />

that competent people are far more likely to<br />

be entrepreneurs than less competent people<br />

(hold<strong>in</strong>g other conditions constant). Vocation is<br />

also shaped by network<strong>in</strong>g, <strong>in</strong> the manner that<br />

network<strong>in</strong>g people are more likely to be entrepreneurs<br />

than non network<strong>in</strong>g people. <strong>Tra<strong>in</strong><strong>in</strong>g</strong><br />

seems to have a t<strong>in</strong>y effect on vocation. <strong>Education</strong><br />

affects vocation <strong>in</strong> the follow<strong>in</strong>g ways:<br />

people with medium or short higher education<br />

or with vocational education have less likelihood<br />

of becom<strong>in</strong>g entrepreneurs than people<br />

with long higher education. Also people with<br />

neither vocational nor higher education have<br />

less likelihood of becom<strong>in</strong>g entrepreneurs than<br />

people with higher education (control<strong>in</strong>g <strong>for</strong><br />

the other conditions).<br />

These effects are shown <strong>in</strong> Figure 8.2, which<br />

also shows the effects found <strong>in</strong> the preced<strong>in</strong>g<br />

chapter (Figure 7.2). A solid arrow denotes a<br />

positive effect, a dashed arrow shows a negative<br />

effect, <strong>and</strong> the thickness of an arrow symbolizes<br />

the magnitude of the effect.<br />

Vocation can thus be partly understood <strong>and</strong> expla<strong>in</strong>ed<br />

<strong>in</strong> terms of four factors: education,<br />

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

with long higher education, with tra<strong>in</strong><strong>in</strong>g, with<br />

competency, <strong>and</strong> with a network are more likely<br />

than other people to be entrepreneurs.<br />

probability-value less than 0.0001 <strong>in</strong> a one-sided<br />

chi-square test).<br />

The above cross-tabulations show how vocation<br />

relates to each condition, while ignor<strong>in</strong>g<br />

the other conditions. This limitation will now be<br />

overcome by a more elaborate analysis.<br />

Hav<strong>in</strong>g studied people, as they may or may not<br />

be <strong>in</strong>volved <strong>in</strong> entrepreneurship, we now zoom<br />

<strong>in</strong> to focus on the entrepreneurs.<br />

Effects upon people’s vocation from their<br />

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

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

Now we address the further question, how is<br />

vocation affected by each condition, while hold<strong>in</strong>g<br />

the other conditions constant? The dist<strong>in</strong>ct<br />

effects are estimated by regression (Table 8.6 <strong>in</strong><br />

the appendix).<br />

56

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