The evolution of R&D networks.
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| Title: | The evolution of R&D networks. |
|---|---|
| Authors: | Dawid, Herbert1 hdawid@wiwi.uni-bielefeld.de, Hellmann, Tim2 tim.hellmann@uni-bielefeld.de |
| Source: | Journal of Economic Behavior & Organization. Sep2014, Vol. 105, p158-172. 15p. |
| Subjects: | Research & development, Economic models, Direct costing, Stochastic analysis, Profit, Monotonic functions, Evolutionary theories |
| Abstract: | We study the evolution of R&D networks in a Cournot model where firms may lower marginal costs due to bilateral R&D collaborations. Stochastically stable R&D networks exhibit the dominant group architecture, and, contrary to the existing literature, generically unique predictions about the size of the dominant group can be obtained. This size decreases monotonically with respect to the cost of link formation and there exists a lower bound on the size of the dominant group for non-empty networks. Stochastically stable networks are always inefficient and an increase in linking costs has a non-monotone effect on average industry profits. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Economic Behavior & Organization is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 97085642 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The evolution of R&D networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dawid%2C+Herbert%22">Dawid, Herbert</searchLink><relatesTo>1</relatesTo><i> hdawid@wiwi.uni-bielefeld.de</i><br /><searchLink fieldCode="AR" term="%22Hellmann%2C+Tim%22">Hellmann, Tim</searchLink><relatesTo>2</relatesTo><i> tim.hellmann@uni-bielefeld.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Economic+Behavior+%26+Organization%22">Journal of Economic Behavior & Organization</searchLink>. Sep2014, Vol. 105, p158-172. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Research+%26+development%22">Research & development</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+models%22">Economic models</searchLink><br /><searchLink fieldCode="DE" term="%22Direct+costing%22">Direct costing</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Profit%22">Profit</searchLink><br /><searchLink fieldCode="DE" term="%22Monotonic+functions%22">Monotonic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+theories%22">Evolutionary theories</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We study the evolution of R&D networks in a Cournot model where firms may lower marginal costs due to bilateral R&D collaborations. Stochastically stable R&D networks exhibit the dominant group architecture, and, contrary to the existing literature, generically unique predictions about the size of the dominant group can be obtained. This size decreases monotonically with respect to the cost of link formation and there exists a lower bound on the size of the dominant group for non-empty networks. Stochastically stable networks are always inefficient and an increase in linking costs has a non-monotone effect on average industry profits. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Economic Behavior & Organization is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jebo.2014.03.004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 158 Subjects: – SubjectFull: Research & development Type: general – SubjectFull: Economic models Type: general – SubjectFull: Direct costing Type: general – SubjectFull: Stochastic analysis Type: general – SubjectFull: Profit Type: general – SubjectFull: Monotonic functions Type: general – SubjectFull: Evolutionary theories Type: general Titles: – TitleFull: The evolution of R&D networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dawid, Herbert – PersonEntity: Name: NameFull: Hellmann, Tim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 01672681 Numbering: – Type: volume Value: 105 Titles: – TitleFull: Journal of Economic Behavior & Organization Type: main |
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