[Purpose/significance] Overcoming the "temporal blind spot", this study explores the multifactor linkage effects for enhancing the utilization level of Open Government Data (OGD) platforms in the temporal dimension, aiming to provide theoretical contributions and practical value to research on government data openness. [Method/process]Employing the dynamic QCA method, based on panel data from 29 municipal platforms （2019-2023）， this study analyz⁃es the temporal trends of local government OGD platform utilization levels, identifying condition configurations consid⁃ering both spatial and temporal factors. [Result/conclusion] There are no necessary conditions affecting OGD platform utilization levels; rather, the utilization level is influenced by multiple factors acting together, not controlled by a single factor. In the sufficiency analysis of condition combinations, three configuration paths are identified: platform driven by fiscal support and data resource construction, government-led platform construction and public demand-driven, gov⁃
ernment-led platform and data resource-driven. The level of data platform construction is the core factor promoting high utilization levels of OGD platforms. The configuration analysis results show no apparent temporal effects but exhib⁃it case effects resulting from certain spatial differences.
Wu Yingqiang
,
Zhang Maping
,
Wen Lijun
,
Li Baiyang
. Configuration Analysis of Utilization Level of Open Government Data Platform in China: Dynamic QCA Empirical Analysis Based on City Panel Data[J]. Information and Documentation Services, 2025
, 46(2)
: 16
-25
.
DOI: 10.12154/j.qbzlgz.2025.02.002
