摘要
技术应用既可以改进城市治理,也会产生新的挑战和问题,而政府学习模式是影响城市治理能力的关键变量。本文构建了城市治理的“双轨学习”分析框架,区分了政府学习的两种类型:问题应对型学习与现象溯因型学习。进而,以B市基层治理改革为案例,观察从“接诉即办”到“未诉先办”的改革历程,剖析政府学习模式的变迁。“接诉即办”改革具有问题应对型学习特征,而“未诉先办”改革更注重溯因学习。城市基层治理不仅要运用技术手段提升问题识别和数据集成能力,也要善于运用溯因学习模式,持续优化机制设计,提升治理模式的可持续性。
The application of technology can not only improve urban governance,but also produce new challenges and problems,and the government learning model is the key variable affecting the ability of urban governance.The authors construct the“double-track learning”framework of urban governance and distinguishes two types of government learning:problem stress learning and phenomenal abductive learning.Then,taking the grass-roots governance of B city as case study,the authors observe the reform process from“Handling the Complaint Immediately”to“handling Complaints first”,and analyzes the change of government learning mode in the process.The reform of“handling complaints immediately”has obvious characteristics of problem stress learning,while the reform of“handling complaints first”pays more attention to adbuctive learning.Urban governance should not only use technical tools to improve the ability of problem identification and data integration,but also introduce adbuctive learning mode,so as to optimize the mechanism design and improve the sustainability of governance system.
作者
杨宏山
李悟
Yang Hongshan;Li Wu
出处
《公共管理与政策评论》
CSSCI
北大核心
2022年第3期107-115,共9页
Public Administration and Policy Review
基金
国家社科基金重大项目“中国特色政策试验与政府间学习机制研究”(19ZDA123)
中国人民大学科研基金重大项目“政策试验模式的国际比较研究”(20XNL022)。
关键词
城市治理
数字治理
政府学习
双轨学习
Urban Governance
Digital Governance
Governmental Learning
Double-track Learning
