dc.contributor.author
Große-Bley, Jelena
dc.contributor.author
Kostka, Genia
dc.date.accessioned
2023-02-24T09:50:40Z
dc.date.available
2023-02-24T09:50:40Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/38064
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-37777
dc.description.abstract
Chinese cities are increasingly using digital technologies to address urban problems and govern society. However, little is known about how this digital transition has been implemented. This study explores the introduction of digital governance in Shenzhen, one of China's most advanced smart cities. We show that, at the local level, the successful implementation of digital systems faces numerous hurdles in long-standing data management and bureaucratic practices that are at least as challenging as the technical problems. Furthermore, the study finds that the digital systems in Shenzhen entail a creeping centralisation of data that potentially turns lower administrative government units into mere users of the city-level smart platforms rather than being in control of their own data resources. Smart city development and big data ambitions thereby imply shifting stakeholder relations at the local level and also pull non-governmental stakeholders, such as information technology companies and research institutions, closer to new data flows and smart governance systems. The findings add to the discussion of big data-driven smart systems and their implications for governance processes in an authoritarian context.
en
dc.format.extent
14 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Digital governance
en
dc.subject
smart city platform
en
dc.subject
data centralisation
en
dc.subject.ddc
300 Sozialwissenschaften::300 Sozialwissenschaften, Soziologie::300 Sozialwissenschaften
dc.title
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1177/20539517211045171
dcterms.bibliographicCitation.journaltitle
Big Data & Society
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.volume
8
dcterms.bibliographicCitation.url
https://doi.org/10.1177/20539517211045171
refubium.affiliation
Geschichts- und Kulturwissenschaften
refubium.affiliation.other
Ostasiatisches Seminar / Sinologie – Chinastudien
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2053-9517
refubium.resourceType.provider
WoS-Alert