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Article: Alipay’s ‘Ant Credit Pay’ meets China’s factory workers: the depersonalisation and re-personalisation of online lending

TitleAlipay’s ‘Ant Credit Pay’ meets China’s factory workers: the depersonalisation and re-personalisation of online lending
Authors
KeywordsCredit scoring
China
debt
digital technology
personalisation
Issue Date2020
PublisherRoutledge. The Journal's web site is located at http://www.tandfonline.com/loi/rjce20#.VMp-XPldVPM
Citation
Journal of Cultural Economy, 2020, Epub 2020-05-25 How to Cite?
AbstractScholarly accounts of the global rise of statistical credit scoring technologies have tended to portray these automated, digitised systems as supplanting human involvement in lending. This paper examines Chinese migrant factory workers’ encounters with Ant Credit Pay, Alipay’s novel consumer credit facility (which utilises the Zhima Credit scoring system). Drawing on ethnographic data, we document how workers come to understand Ant Credit Pay through the depersonalising and re-personalising processes they associate with it. Workers prefer its depersonalised mode of lending over borrowing from banks, friends, or family. However, they nonetheless also attempt to re-personalise Ant Credit Pay through propagating the belief that human-style logics underlie its scoring mechanisms. This becomes evidenced through workers’ integration of the platform into their personal spending practices, alongside their portrayal of charismatic Alipay founder Jack Ma as the orchestrator of the platform’s novel approach to lending. We argue that acknowledging Ant Credit Pay’s consolidation of depersonalising and re-personalising qualities necessitates the productive analysis of digital credit as a human-machine assemblage. Furthermore, this financial object – and workers’ engagement with it – is generative of a distinctive personhood that concretizes China’s ongoing social transformation, while also carrying implications for understanding current global trends towards the digitisation of credit.
Persistent Identifierhttp://hdl.handle.net/10722/283283
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 0.813
ISI Accession Number ID
Grants

 

DC FieldValueLanguage
dc.contributor.authorMcDonald, T-
dc.contributor.authorLi, D-
dc.date.accessioned2020-06-22T02:54:32Z-
dc.date.available2020-06-22T02:54:32Z-
dc.date.issued2020-
dc.identifier.citationJournal of Cultural Economy, 2020, Epub 2020-05-25-
dc.identifier.issn1753-0350-
dc.identifier.urihttp://hdl.handle.net/10722/283283-
dc.description.abstractScholarly accounts of the global rise of statistical credit scoring technologies have tended to portray these automated, digitised systems as supplanting human involvement in lending. This paper examines Chinese migrant factory workers’ encounters with Ant Credit Pay, Alipay’s novel consumer credit facility (which utilises the Zhima Credit scoring system). Drawing on ethnographic data, we document how workers come to understand Ant Credit Pay through the depersonalising and re-personalising processes they associate with it. Workers prefer its depersonalised mode of lending over borrowing from banks, friends, or family. However, they nonetheless also attempt to re-personalise Ant Credit Pay through propagating the belief that human-style logics underlie its scoring mechanisms. This becomes evidenced through workers’ integration of the platform into their personal spending practices, alongside their portrayal of charismatic Alipay founder Jack Ma as the orchestrator of the platform’s novel approach to lending. We argue that acknowledging Ant Credit Pay’s consolidation of depersonalising and re-personalising qualities necessitates the productive analysis of digital credit as a human-machine assemblage. Furthermore, this financial object – and workers’ engagement with it – is generative of a distinctive personhood that concretizes China’s ongoing social transformation, while also carrying implications for understanding current global trends towards the digitisation of credit.-
dc.languageeng-
dc.publisherRoutledge. The Journal's web site is located at http://www.tandfonline.com/loi/rjce20#.VMp-XPldVPM-
dc.relation.ispartofJournal of Cultural Economy-
dc.rightsPreprint: This is an Author's Original Manuscript of an article published by Taylor & Francis Group in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/doi/abs/[Article DOI]. Postprint: This is an Accepted Manuscript of an article published by Taylor & Francis Group in [JOURNAL TITLE] on [date of publication], available online at: http://www.tandfonline.com/doi/abs/[Article DOI].-
dc.subjectCredit scoring-
dc.subjectChina-
dc.subjectdebt-
dc.subjectdigital technology-
dc.subjectpersonalisation-
dc.titleAlipay’s ‘Ant Credit Pay’ meets China’s factory workers: the depersonalisation and re-personalisation of online lending-
dc.typeArticle-
dc.identifier.emailMcDonald, T: mcdonald@hku.hk-
dc.identifier.authorityMcDonald, T=rp02060-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/17530350.2020.1763424-
dc.identifier.scopuseid_2-s2.0-85085976768-
dc.identifier.hkuros310436-
dc.identifier.volumeEpub 2020-05-25-
dc.identifier.isiWOS:000541590400001-
dc.publisher.placeUnited Kingdom-
dc.relation.projectDigital money and migration in China: Contemporary monetary practices and imagined economic futures-
dc.identifier.issnl1753-0350-

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