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Modern technology and innovations are becoming more crucial than ever for thesurvival of companies in the market. Therefore, it is significant both fromtheoretical and practical points of view to understand how governments caninfluence technology growth and innovation diffusion (TGID) processes. Wepropose a simple but essential extension of Ausloos-Clippe-P\c{e}kalski andrelated Cichy numerical models of the TGID in the market. Both models areinspired by the nonlinear non-equilibrium statistical physics. Our extensioninvolves a parameter describing the probability of government intervention inthe TGID process in the company market. We show, using Monte Carlo simulations,the effects interventionism can have on the companies' market, depending on thesegment of firms that are supported. The high intervention probability canresult, paradoxically, in the destabilization of the market development. Itlowers the market's technology level in the long-time limit compared to marketswith a lower intervention parameter. We found that the intervention in thetechnologically weak and strong segments of the company market does notsubstantially influence the market dynamics, compared to the interventionhelping the middle-level companies. However, this is still a simple model whichcan be extended further and made more realistic by including other factors.Namely, the cost and risk of innovation or limited government resources andcapabilities to support companies.

Government intervention modeling in microeconomic company market evolution