Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4850
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dc.contributor.authorMane, Pramod C.en_US
dc.contributor.authorAhuja, Kapilen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:44Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:44Z-
dc.date.issued2020-
dc.identifier.citationMane, P. C., Ahuja, K., & Krishnamurthy, N. (2020). Externalities in endogenous sharing economy networks. Applied Economics Letters, 27(17), 1404-1408. doi:10.1080/13504851.2019.1683507en_US
dc.identifier.issn1350-4851-
dc.identifier.otherEID(2-s2.0-85074835224)-
dc.identifier.urihttps://doi.org/10.1080/13504851.2019.1683507-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4850-
dc.description.abstractThis paper investigates the impact of link formation between a pair of agents on the resource availability of other agents (that is, externalities) in a social cloud network, a special case of endogenous sharing economy networks. Specifically, we study how the closeness between agents and the network size affect externalities. We conjecture, and experimentally support, that for an agent to experience positive externalities, an increase in its closeness is necessary. The condition is not sufficient though. We, then, show that for populated ring networks, one or more agents experience positive externalities due to an increase in the closeness of agents. Further, the initial distance between agents forming a link has a direct bearing on the number of beneficiaries, and the number of beneficiaries is always less than that of non-beneficiaries. © 2019 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.sourceApplied Economics Lettersen_US
dc.subjectresource availabilityen_US
dc.subjectsize effecten_US
dc.subjectsocial networken_US
dc.titleExternalities in endogenous sharing economy networksen_US
dc.typeJournal Articleen_US
dc.rights.licenseAll Open Access, Green-
Appears in Collections:Department of Computer Science and Engineering

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