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因地制宜:公共数据授权运营的地方差异化路径与组态分析OACHSSCD

Adaptation to Local Conditions:Local Differentiated Paths and Configuration Analysis of Public Data Authorization and Operation

中文摘要英文摘要

公共数据授权运营是具有中国特色的数据开发利用方式,剖析地区差异化实践路径对于探索形成可复制、易推广、能持续的数据流通利用运营模式具有重要意义.以信息生态理论为基础,运用csQCA对25 个开展公共数据授权运营的城市进行组态分析发现,数据质量与官方信息场域是公共数据授权运营效果良好的必要条件;政府引领下的早期实践型、政府统筹下的数据赋能型和市场驱动下的生态赋能型是实践效果良好的三种路径,体制待建型与数制短板型是实践效果不佳的两种路径.数据具有私人物品和公共物品双重属性,在数据运营的不同环节需要市场化和集中化制度为保障,各地可结合数据生态因地制宜地选择契合本地区的授权运营实践路径.

Public data authorization operation is a data development and utilization approach with Chinese charac-teristics.Analyzing the differentiated practical paths in various regions is of great significance for exploring and form-ing replicable,easily-promoted and sustainable data circulation and utilization operation models.Based on the infor-mation ecology theory,this paper conducts a configuration analysis of 25 cities that have carried out public data author-ization operations using csQCA.The research finds that data quality and the official information field are necessary conditions for good public data authorization operation effects.Government-led early practice type,government-coor-dinated data empowerment type and market-driven ecological empowerment type are three paths with good practical effects,while system-to-be-built type and data system shortcoming type are two paths with poor practical effects.Da-ta has dual attributes of private goods and public goods.Market-oriented and centralized systems are needed to guar-antee different stages of data operation.Each region should choose an appropriate authorization operation path in line with its local conditions based on the data ecosystem.

宋心然;李橘;林彤

首都经济贸易大学城市经济与公共管理学院,北京,100070首都经济贸易大学城市经济与公共管理学院,北京,100070首都经济贸易大学城市经济与公共管理学院,北京,100070

管理科学

公共数据公共数据授权运营csQCA数据开发与利用因地制宜

Public dataPublic data authorization operationcsQCAData development and utilizationAdapting measures to local conditions

《信息资源管理学报》 2026 (1)

78-88,11

本文系国家社会科学基金项目"大数据监管背景下政府获取企业经营数据的行政法规制研究"(22FBX169)的研究成果之一.(This study is supported by the National Social Science Foundation Project"Administrative Legal Regulation of Government Acquisition of Enterprise Business Data under the Background of Big Data Supervision"(22FBX169).)

10.13365/j.jirm.2026.01.078

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