Dr. Ivan Savin
Welcome to my personal website! Since March 2018 I'm a research fellow within the ERC project “Behavioral-evolutionary analysis of climate policy: Bounded rationality, markets and social interactions” (EVOCLIM) at ICTA-UAB. Also, I am a research fellow at the Ural Federal University. On this webpage I will tell you what I am currently working on and what I have done in the recent past.
EMAEE conference in Brighton
Workshop on Economics and Finance in Karlsruhe
LATEST AND UPCOMING EVENTS
International research workshop at GSEM UrFU
MY LATEST RESEARCH
MY RECENT PRESENTATIONS
The present study models networks of innovating firms which decide on whether to cooperate (and if yes, with whom) based on their capacity to absorb and assimilate new knowledge (the so-called absorptive capacity). Contrary to the existing literature, we do not fix this capacity but unpack it as a function of firm internal inputs: knowledge distance to a potential partner and R&D investment allocation (i.e. how much this firm is ready to allocate in absorbing new knowledge from the partner).
Apart from reproducing the stylized small world property (groups of firms being densely interconnected but also having short paths connecting those clusters together), we find that certain network strategies such as occupying brokerage positions (locating themselves on the shortest paths connecting many different firms to one another and at the same time having shortest average path to any other firm in the network) pay off, especially in ‘young’ industries, where intensity of cooperation is high but amount of accumulated knowledge (through publications, patents etc.) is moderate. In addition, networks in such a knowledge regime exhibit another stylized property: the scale free structure, where large number of firms has only few partners in the network, while a small cohort of firms manage to establish a large number of partnerships (the brokers, mentioned above).
The latter results are driven by the endogenous nature of the absorptive capacity (running a counterfactual experiment where it is not the case, none of the results is reproduced) and diminish in their extent over time (as knowledge accumulates). All this helps to understand the key role of the firms’ ability to absorb new knowledge in their network strategies, and the intuition behind the network structures we observe empirically.
What does our social network mean to us? Can we benefit from our network position? What would be the optimal network strategy in this respect? These and some other related questiones I addressed in my TEDx talk in 2015.
MY LAST INTERVIEWS
What KIT/BETA research group is currently working at and what they discussed with researchers from the University of Hohenheim? General Purpose Technologies! Which factors influence their development? How strongly do they penetrate economy and how closely connected with other technologies?