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基层减负视角下政府绩效考核水平影响因素研究

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政府绩效考核的本质是基于目标对政府行为导致的后果进行评价,从基层减负的角度审视政府绩效考核,意味着在特定的技术条件下,采用革新方法替代传统评估途径与战术,在达成对基层政府效能评定的同时,显著降低一线公务员的负担.故而以模糊集定性比较分析法为研究工具,对基层减负视角下政府绩效考核的影响因素进行探讨,旨在推导出对政府绩效考核具有增效效果的组态构件,并且尝试引入"政府绩效噪声"概念,对分析得出的有益组合进行反思,得出结论:在基层减负政策背景下,政府可以通过推动信息化政府建设、考核指标体系完善来达成减负预期,提升政府绩效水平,并应采取相应的措施有效消解绩效"噪声".
A Study on the Influencing Factors of Government Performance Assessment from the Perspective of Alleviating the Burden at the Grassroots Level
The essence of government performance assessment is to evaluate the consequences of government actions based on set objectives.Viewing government performance assessment from the perspective of grassroots burden reduction means that,under specific technical conditions,we should adopt innovative methods to replace traditional assessment approaches and tactics.This not only achieves an evaluation of the effectiveness of grassroots government but also significantly reduces the burden on front-line civil servants.Therefore,with fuzzy-set qualitative comparative analysis(fsQCA)as the research tool,this study explores the factors influencing government performance assessment from the perspective of grassroots burden reduction,aiming to derive configurational components that enhance the effectiveness of government performance assessment.Furthermore,by introducing the concept of"government performance noise",the study reflects on the beneficial combinations derived from the analysis and draws the following conclusion:In the context of the grassroots burden reduction policies,the government is able to achieve the expected burden reduction and enhance government performance by promoting the construction of an information-based government and improving the assessment indicator system,and take corresponding measures to effectively mitigate performance"noise".

alleviating the burden at the grassroots levelthe fuzzy-set qualitative comparative analysisgovernment performance as-sessment

赵江韬、赵欣雨

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对外经济贸易大学 政府管理学院,北京 100029

大连理工大学 公共管理学院,大连 116081

基层减负 模糊集定性比较分析 政府绩效考核

2025

西部学刊

西部学刊

影响因子:0.132
ISSN:
年,卷(期):2025.(2)