数字化转型如何影响基本公共服务供给——基于fsQCA组态视角
How Does Digital Transformation Influence the Provision of Basic Public Services—Based on the fsQCA Configuration Perspective

本研究系统探讨了数字化转型对我国不同省级行政单位基本公共服务供给水平的影响，为政府决策者提供了有益的参考。本研究选取我国31个省级行政单位12年到22年的基本公共服务相关数据，基于熵权法对各个省级行政单位的基本公共服务供给能力进行量化分析，并利用模糊集定性比较分析(fsQCA)方法探究数字化转型要素的不同配置与基本公共服务供给间的因果关系，分析数字化转型背景下基本公共服务供给的优化路径。研究发现，单一变量无法实现对基本公共服务供给的提高，构成基本公共服务供给的优化路径有三条，分别为财政驱动型、全能驱动型以及组织驱动型。结合研究结论提出优化基本公共服务供给优化建议：结合区位优势选择相应路径、强化技术基础设施建设、夯实财政资源保障以及扩大公民需求。未来还可以考虑通过纳入更加完善的理论框架以及条件变量，将传统定量方法与定性比较分析相结合，进行更加深入的研究。
This study systematically explores the impact of digital transformation on the level of basic public service provision across different provincial administrative units in China, providing valuable insights for government policymakers. The study selects relevant data on basic public services from 2012 to 2022 for 31 provincial administrative units in China. It employs the entropy weight method to quantitatively analyze the basic public service provision capacity of each provincial administrative unit and adopts fuzzy-set qualitative comparative analysis (fsQCA) to reveal the causal relationships between different combinations of digital transformation factors and basic public service provision, analyzing the optimization pathways for basic public service provision in the context of digital transformation. The study finds that a single variable cannot enhance basic public service provision. Instead, there are three optimization pathways for basic public service provision: fiscal-driven, omnipotent-driven, and organization-driven. Based on the research findings, suggestions for optimizing basic public service provision are proposed: selecting corresponding pathways based on regional advantages, strengthening technological infrastructure construction, consolidating financial resource guarantees, and expanding citizen demand. Future research could consider incorporating a more comprehensive theoretical framework and conditional variables, combining traditional quantitative methods with qualitative comparative analysis for deeper insights.