title: Dynamic network model of production and investment
metadata.name: dc.contributor.author
metadata.value: Kochevadov, Vitaly A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Sedakov, Artem A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-06-13T16:19:47Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-06-13T16:19:47Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kochevadov V. A., Sedakov A. A. Dynamic network model of production and investment. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2023, vol. 19, iss. 1, pp. 10–26.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu10.2023.102
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41571
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper studies a dynamic network game that models the competitive behavior of firms in a market. It is assumed that firms, under the condition of simultaneous and independent choice of their actions, implement the behavior that determines their production and investment behavior in each period. The production behavior of the firm reflects the ongoing quantities that it should produce and supply to the market. The investment behavior specifies the ongoing amounts of investment that the firm allocates to the modernization of its production technology in order to prevent it from becoming obsolete. Next, the unit cost is assumed to depend on the firm's investment and the investment of its competitors, which are determined by an exogenous network. Two types of Nash equilibria are characterized: open-loop and feedback. Finally, we analyze the impact of the network and related model parameters on firms' behavior, profits, and competitive advantage.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: This research was supported by the Russian Science Foundation grant N 22-11-00051.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 19; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: competition
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: investment
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: dynamic game
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: network
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Nash equilibrium
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Dynamic network model of production and investment
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 16062-Текст статьи-54555-1-10-20230524.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41571/1/16062-%d0%a2%d0%b5%d0%ba%d1%81%d1%82%20%d1%81%d1%82%d0%b0%d1%82%d1%8c%d0%b8-54555-1-10-20230524.pdf
resources.format: Adobe PDF
resources.size: 538,74 kB