Factors and Configuration Paths Influencing the Improvement of Public Data Utilization Level——A qualitative comparative analysis based on panel data
To promote the utilization of public data and unleash its value,a SDE model is constructed from the perspective of supply and demand theory.Panel data QCA is used to test provincial-level data in China from 2018 to 2022,revealing the influencing factors,configuration paths,and its spatiotemporal differences of public data utilization.The results indicate that no necessary conditions are found for generating high and low levels of public data utilization.There are four configurations that generate high levels of public data utilization,including unbalanced supply type,balanced supply type,supply-demand linkage type,and comprehensive type,as well as two configurations that generate low levels of public data utilization.On the temporal dimensions,the explanatory power of each configuration has remained stable with an overall increase.The supply-demand linkage configuration and the unbalanced supply configuration have gone through a process of change from leading to leveling and a significant leap,respectively.On the spatial dimension,each configuration has a stronger explanation for regions with relatively low education funds and relatively few Internet ports.Promoting the utilization of public data requires both supply and demand sides.At the same time,provinces should pay attention to resource allocation combinations and leverage their own advantages according to time and local conditions.
public data utilizationopen datapublic datadata elementqualitative comparative analysispanel data QCA
万方数据
