Regulation of meso trajectories in the national innovation system
Abstract
The meso trajectory is considered as a sequential process of performing core functions on the phases of the development of the national innovation system (NIS). It constitutes a three-phase process. They describe emergence (origination), diffusion (adoption, adaptation and assimilation) and retention of a new successful rule (innovation). The study focuses on two groups of factors of these phases. The first is external factors whose action is manifested in the existence of high risks and uncertainties distributed over the stages of the meso trajectory. The second group occurs within the meso populations of the trajectory. The actors of these populations shape the group. Regarding the first group of factors, two conclusions are drawn. First, government policy that aims to mitigate inherent risks and uncertainties must be dual. It means that, on the one hand, the policy should provide compensation for a part of the uncertainties and risks inherent in innovation activity, and, on the other hand, make the actors carry some significant portion of risks themselves. Secondly, if the policy is intended for regulating the effects of externalities (e.g. technological spillover) on different phases of the trajectory, then its task is to maintain the necessary balance of their influences on NIS core functions on the adjacent phases of the trajectory. The paper introduces the concept of factor-forming populations. The action of factor-forming populations contributes to the dynamics of meso trajectories and performance of NIS functions at the phases of the trajectory. In the study, such populations are carrying the attributes of factors having a significant impact on meso trajectories. The public policy must weaken a factor-forming population with a negative impact on performing the NIS functions and reinforce those that have a positive effect on them. If factor-forming populations demonstrate both positive and negative influence on the trajectory, the policy should assist in strengthening useful parameters and smoothing ...
Problem melden