Promotie: dhr. U. Temurshoev, 14.45 uur, Academiegebouw, Broerstraat 5, Groningen
Proefschrift: Interdependencies. Essays on cross-shareholdings, social networks, and sectoral linkages
Promotor(s): prof.dr. H.W. Dietzenbacher
Faculteit: Economie en Bedrijfskunde
Contact: Umed Temurshoev, tel. 050-363 3675, e-mail: firstname.lastname@example.org
Hidden economic interdependencies
This thesis focuses on three types of interdependencies: at the levels of firms, individuals and economic sectors. The analysis shows that taking indirect shareholding links into account has many important implications: total property distributions may be entirely different from the directly observed ownership structures in an economy, the proposed ownership complexity measures can explain the separation of control and dividend rights, firms with partial cross ownership (PCO) may exercise strictly larger market power than those without PCO, and PCO among firms can facilitate tacit collusion but never hinders it. In the networks of individuals/industries, the members of the key group with the maximum or minimum impact on the overall activity level of the network are shown to be nonredundant (dissimilar) with respect to their patterns and sizes of interlinkages. Finally, two distinct problems of finding a key sector and a key group of sectors with the hypothetical extraction method are thoroughly analyzed both for national and interregional input-output settings.
Prof. Moniek Tromp has been appointed Captain of Science of the Chemistry Top Sector by the Minister of Economic Affairs and Climate Policy. As from 1 July 2023, she succeeded Prof. Bert Weckhuysen from Utrecht University.
Leonardo Arriagada Beltran conducted his PhD research on the interface of computer-generated art and the constantly evolving field of Artificial Intelligence (AI). He will defend his Phd thesis on 21 September. His research offers valuable insights...
Harish Vedantham and Casper van der Kooi have been nominated by New Scientist for Wetenschapstalent 2023 (Science Talent 2023). This election is meant to give young scientists and their research a stage.
The UG website uses functional and anonymous analytics cookies. Please answer the question of whether you want to accept
or reject other cookies (such as tracking cookies).
If no choice is made, only basic cookies will be stored. More information