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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

宋心然 李橘 林彤

信息资源管理学报2026,Vol.16Issue(1):78-88,11.
信息资源管理学报2026,Vol.16Issue(1):78-88,11.DOI:10.13365/j.jirm.2026.01.078

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

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

宋心然 1李橘 1林彤1

作者信息

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

摘要

Abstract

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.

关键词

公共数据/公共数据授权运营/csQCA/数据开发与利用/因地制宜

Key words

Public data/Public data authorization operation/csQCA/Data development and utilization/Adapting measures to local conditions

分类

管理科学

引用本文复制引用

宋心然,李橘,林彤..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[J].信息资源管理学报,2026,16(1):78-88,11.

基金项目

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).) (22FBX169)

信息资源管理学报

OACHSSCD

2095-2171

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