摘要
决策是公共领导的重要职能,提升决策能力是国家治理体系和治理能力现代化的重要内容。传统公共决策研究可以被归纳为理性假定的视角、数理优化的视角以及政策议程和参与的视角。根据PV-GPG框架提出绩效领导决策机制,构建渐进调适的适应性决策系统来提升决策有效性。通过对L县党政领导人深入访谈数据的编码分析,对我国党政融合机制下公共决策的过程、呈现出的绩效领导特征、不同绩效领导属性的决策准则、决策中的学习机制和约束条件进行研究。
Decision-making is an important function of public leadership,and the ability to make decisions is an important element of the modernization of national governance system and governance capacity.Traditional public decision-making research can be categorized into rational assumed perspective,mathematically optimized perspective,and policy agenda&participative perspective.According to the PV-GPG framework,a competitive performance leadership decision-making path is proposed to enhance the effectiveness of public decision-making by constructing an adaptive system.Through coding and analysis of in-depth interview data of party and government leaders in County L,the process of public decision making,decision guidelines of different leadership mechanisms,and learning mechanisms and constraints in public decision making are studied in China’s party government system.
作者
包国宪
张弘
Bao Guoxian;Zhang Hong(School of Management,Lanzhou University;Research Center for Government Performance Management,Lanzhou University;Lanzhou University,Lanzhou 730000;Indiana University)
出处
《中国行政管理》
CSSCI
北大核心
2021年第3期84-93,共10页
Chinese Public Administration
基金
研究阐释党的十九届四中全会精神国家社会科学基金重点项目“国家治理效能目标导向下的政府职责体系优化研究”(编号:20AZD032)
关键词
公共决策的绩效领导路径
PV-GPG
渐进调适
复杂适应性系统
Performance leadership approach for public decision making
PV-GPG
muddling through
complex adaptive systems