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Multi-agent modeling <strong>of</strong> economic innovation dynamics <strong>and</strong> its implications 329<br />

In Figs. 5 <strong>and</strong> 6 the results <strong>of</strong> an exemplary run <strong>of</strong> the simulation model are shown.<br />

Here we assume an optimistic scenario leading to an increase <strong>of</strong> total production by<br />

300% in 120 time steps (30 years) (Fig. 5, left part). In the right part <strong>of</strong> Fig. 5 the<br />

amounts for intermediary <strong>and</strong> final production as well as primary inputs <strong>of</strong> the input/<br />

out-table (cf. Fig. 4) are represented by columns. What is clearly underst<strong>and</strong>able in<br />

this example is that in t=120 only about one third <strong>of</strong> total production is net production<br />

(value added). That the modes <strong>of</strong> actions (<strong>and</strong> their frequencies) at the agent level play<br />

an essential role for the growth <strong>of</strong> total production can be verified by looking at Fig. 6.<br />

In terms <strong>of</strong> the frequencies <strong>of</strong> the modes <strong>of</strong> action the system passes through a<br />

transition phase (up to about t=50) after which a pattern <strong>of</strong> moderate irregular<br />

fluctuations around an average level occur for all modes <strong>of</strong> action (routine, imitation<br />

<strong>and</strong> innovation). It is only in this second phase in which the share <strong>of</strong> firms pursuing<br />

only routines <strong>and</strong> the share <strong>of</strong> firms additionally creating novelties follows a cyclical<br />

pattern that the growth <strong>of</strong> total production increases significantly (cf. Fig. 5, left<br />

part).<br />

To sum up, the link between novelty creation <strong>and</strong> growth is not trivial: First<br />

<strong>of</strong> all the innovation activity itself has to be triggered <strong>and</strong> has to be successful.<br />

If so, it has a primary growth effect in terms <strong>of</strong> an increased value added (final<br />

dem<strong>and</strong>) in the same sector. Furthermore, the secondary effect constituted by<br />

substitution <strong>and</strong> devaluation <strong>of</strong> old products has to be included. Finally the<br />

inter-sectoral (tertiary) effects <strong>of</strong> the primary <strong>and</strong> secondary effect have to be<br />

considered for getting a comprehensive picture <strong>of</strong> the dynamics in the whole<br />

economy.<br />

5 Driving forces <strong>and</strong> dynamics <strong>of</strong> emission impacts<br />

<strong>The</strong> multi-level model developed in section 3 <strong>and</strong> 4 is now enhanced by including<br />

emissions. Because the main purpose here is to demonstrate the applicability <strong>of</strong> such<br />

an approach for analyzing the dynamics <strong>of</strong> environmental impacts only one<br />

exemplary emission (e.g. CO 2) is assumed. This emission is related to the level <strong>of</strong><br />

gross production<br />

net production<br />

t<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Sector0<br />

Sector1<br />

final dem.<br />

Sector3<br />

Sector2<br />

Sector2<br />

Sector1<br />

Sector3<br />

prim.input<br />

Sector0<br />

Fig. 5 Gross production over time (left) <strong>and</strong> sectoral production (input/output-table) in t=120 (right)

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