The opening of public data,as a key measure to unlock the value of data as an economic factor, presents opportunities for enhancing the quality of basic public services.Based on panel data from 283 Chinese cities between 2010 and 2023,employing a dual machine learning approach to analyze the impact of public data openness on basic public service levels and further dissect its underlying mechanisms.Findings reveal that public data openness significantly enhances basic public service levels,with conclusions validated through parallel trend tests,placebo tests,robustness tests,and endogeneity tests.Mechanism tests indicate that public data openness enhances basic public services through three channels:optimizing government attention allocation,promoting digital economic development,and increasing social inclusion.Heterogeneity tests indicate that public data opening promotes basic public service levels more significantly in cities with higher administrative ranks,internet penetration,and fiscal transparency.These findings provide key references for developing differentiated data opening strategies.
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