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Education, Training and Networking for Entrepreneurship in ...

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tion, while hold<strong>in</strong>g gender <strong>and</strong> age constant,<br />

were estimated <strong>in</strong> the preced<strong>in</strong>g chapter (Figure<br />

6.2).<br />

The effects upon competency from tra<strong>in</strong><strong>in</strong>g <strong>and</strong><br />

education while control<strong>in</strong>g <strong>for</strong> gender <strong>and</strong> age,<br />

are estimated by regression (Table 7.8 <strong>in</strong> the Appendix).<br />

Competency is promoted by tra<strong>in</strong><strong>in</strong>g<br />

(when education, gender <strong>and</strong> age are held constant).<br />

Competency is also affected by education<br />

<strong>in</strong> the manner that medium higher education<br />

makes <strong>for</strong> less competency than long higher<br />

education, short higher education makes <strong>for</strong> less<br />

competency than long higher education, vocational<br />

education entails less competency than<br />

long higher education, <strong>and</strong> hav<strong>in</strong>g neither vocational<br />

education nor higher education makes <strong>for</strong><br />

much less competency than long higher education<br />

(controll<strong>in</strong>g <strong>for</strong> gender, age <strong>and</strong> tra<strong>in</strong><strong>in</strong>g).<br />

The effects upon network<strong>in</strong>g are also estimated<br />

by a regression (Table 7.9 <strong>in</strong> the appendix). <strong>Network<strong>in</strong>g</strong><br />

is promoted by competency <strong>and</strong> by<br />

tra<strong>in</strong><strong>in</strong>g (while hold<strong>in</strong>g other conditions constant).<br />

<strong>Network<strong>in</strong>g</strong> is affected by education <strong>in</strong><br />

the follow<strong>in</strong>g ways. Medium <strong>and</strong> short higher<br />

education <strong>and</strong> also vocational education entail<br />

less likelihood of network<strong>in</strong>g than long higher<br />

education, <strong>and</strong> hav<strong>in</strong>g neither vocational nor<br />

higher education entails much less chance of<br />

network<strong>in</strong>g than long higher education (hold<strong>in</strong>g<br />

other conditions equal).<br />

These effects are all shown <strong>in</strong> Figure 7.2, <strong>for</strong><br />

people <strong>in</strong> Denmark, where solid arrows show<br />

positive effects, dashed arrows show negative<br />

effects, <strong>and</strong> the magnitude of an effect is <strong>in</strong>dicated<br />

by the thickness of the arrow.<br />

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

network<strong>in</strong>g have consequences <strong>for</strong> entrepreneurship.<br />

How people’s education, tra<strong>in</strong><strong>in</strong>g,<br />

competency <strong>and</strong> network<strong>in</strong>g affect their vocation<br />

– to be an entrepreneur or not – shall be<br />

exam<strong>in</strong>ed <strong>in</strong> the next chapter.<br />

Figure 7.2<br />

Estimated effects among people’s education, tra<strong>in</strong><strong>in</strong>g, competency <strong>and</strong> network<strong>in</strong>g<br />

Adults <strong>in</strong> Denmark<br />

<strong>Tra<strong>in</strong><strong>in</strong>g</strong><br />

Medium higher<br />

education<br />

Competency<br />

Short<br />

higher education<br />

Vocational<br />

education<br />

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

Neither vocational nor<br />

higher education<br />

53

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