1.华中师范大学政治学与国家治理研究院,武汉 430000 ;2.厦门大学公共事务学院,厦门 361005 ;3.清华大学数字政府与治理研究院,北京 100084
李立:华中师范大学政治学与国家治理研究院副教授。研究方向:组织社会学、量化历史、国家理论。
吕俊延:清华大学“水木学者”、数字政府与治理研究院助理研究员。研究方向:数字治理、城市治理、信息政治。
D63/F204
本文受国家社会科学青年基金项目“算法赋能背景下纵向政府间权力的调适机制及配置优化研究”(项目编号:24CZZ041)、北京社会科学重大项目“北京构建超大城市现代化治理体系的理论和实践”(项目编号:24LLZZA097)、上海市2021年度人工智能科技支撑专项“人工智能治理的理论、设计与实践”(项目编号:21511104500)、国家资助博士后研究人员计划项目(项目编号:GZB20250870)、中移信息系统集成有限公司课题“数字治理顶层设计研究项目”(项目编号:CMXX-202400540)的资助
1.Institute of Political Science and State Governance, Central China Normal University, Wuhan 430000 , China ; 2.School of Public Aff airs,Xiamen University, Xiamen 361005 , Fujian, China ; 3.Institute for Digital Government and Governance, Tsinghua University, Beijing 100084 , China
既有研究认为数字技术在基层治理中的广泛应用能够推动政策执行实现“上传下达、令行禁止”的理想状态。但是,为什么现实中在“数字控制”下基层仍能采取“上有政策,下有对策”的应对行为呢?通过对 S 省 A 县抛荒地治理案例的分析发现,数字技术虽能强化治理,但基层通过各种应对策略分解了“数字控制”,展现出组织行为惯性。究其根源,源自科层、技术与社会等多重逻辑间的张力构成应对行为的基础,算法嵌入激化了基层执行者的逻辑冲突,进一步固化了其策略应对的行为惯性,最终导致政策执行偏差产生。具体而言,其产生机制主要是治权集中性与治理灵活性张力下的自主性逻辑,技术统一性与治理对象复杂性张力下的技术逻辑,治理任务递增与治理能力固化张力下的权变逻辑。本文超越技术?组织二元分析视角,引入制度逻辑理论,增进了对算法技术嵌入下政策执行者应对行为与技术治理限度的理解,提出未来技术治理应从追求“更强大的控制技术” 转向探索如何设计“更具韧性与适配性的智慧治理系统”,以调和技术与治理间的张力。
Existing research suggests that the widespread application of digital technology in government can promote the ideal state of policy execution, characterized by “eff ective top-down communication and strict compliance with orders”. Why do grassroots governments still adopt the strategy of “the upper has policies, the lower has countermeasures” under “digital control”? By analyzing a case of land reclamation governance in County A of S Province, this study fi nds that while digital tools can strengthen governance, grassroots governments employ various coping strategies to dismantle “digital control”, revealing organizational inertia. The root cause lies in the tension of institutional logics, which forms the basis for such strategic responses. The embedding of algorithms intensifi es logical confl icts among grassroots implementers, further entrenching their behavioral inertia in strategic coping and ultimately leading to deviations in policy implementation. The contradiction between power centralization and governance flexibility limits the production of technical information;The conflict between technological uniformity and the complexity of governance objects leads to “technical compliance” replacing genuine target outcomes; The mismatch between increasing governance tasks and fi xed governance capacity results in incentive failures, prompting grassroots actors to seek fl exibility based on contingent logic.Moving beyond the dualistic technical–organizational perspective, this paper introduces institutional logic theory to enhance understanding of how policy implementers strategically respond to algorithmic technologies and the limits of technical governance. It suggests that future technical governance should shift from pursuing “more powerful control technologies” to exploring how to design “more resilient and adaptive intelligent governance systems” to reconcile the tension between technology and governance.
李立,卢佳丽,吕俊延.数字控制”与组织惯性:算法嵌入下的基层政府行为逻辑[J].上海对外经贸大学学报,2026,33(1):112-124.
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