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作 者:陈升[1,2,3,5] 刘泽 杨永恒[4,5] 吕俊[6]
机构地区:[1]重庆大学公共管理学院,重庆400030 [2]重庆地方政府治理协同创新中心,重庆400030 [3]重庆中西部省情研究院,重庆400030 [4]清华大学公共管理学院,北京100084 [5]清华大学中国发展规划研究中心,北京100084 [6]重庆市发展改革委员会,重庆400030
出 处:《公共管理学报》2018年第3期1-15,154,共15页Journal of Public Management
基 金:国家社会科学基金重点项目(15AZD016);中央高校基本科研业务费(2018CDJSK01XK05,2018CDJSK01PT07)
摘 要:基层知识型公共政策决策机制如何?其达成共识的内在动力是什么?解决分歧的方式是什么?共识过程的特征是什么样的?已有框架模型均不能进行解释。本文采用案例研究法,以五年规划为研究切入点,以县级为研究单位,试图回答以上问题。研究认为:知识型政策包含事实性和观点性两种类型知识;在决策过程中,分歧是事实性知识和观点性知识共识的内在动力,推动政策参与者(包括编制层、决策层、咨询层成员)通过调研、讨论等形式学习知识、转变观念,促进形成相对准确的共识;政策参与者开展专题调研有利于解决事实性知识分歧,决策者(主要包括决策层成员)掌握整体事实性知识和丰富决策经验有利于解决观点性知识分歧;事实性知识共识过程是接近线性的,而观点性知识共识过程是非线性的。相关理论将为如何有效达成知识型政策决策共识提供指导。What is the decision-making mechanism of grassroot knowledge-based public policy? What is the internal driving force for consensus? What is the way to resolve divergence? What is the characteristic of the consensus process? The existing interpretation framework can not answer these questions. So this paper trying to construct related theories,by useing the case study method,taking the five-year plan as the entry point,and the county as the research unit. The study finds knowledge-based policies contains two types of the knowledge,which are respectively factual knowledge and viewpoint knowledge. The study believes that in the decision-making process of knowledge-based policies,divergence is the internal driving force of consensus,which encouraging participants in policy research(including members of the preparation,decision-making,and consulting levels) to learn knowledge,change concepts through research and discussion. And then the relatively accurate consensus formate;Participants in policy research conduct special research to help resolve factual knowledge divergence. Decision-makers(mainly including members of the decision-making level)have mastered the overall factual knowledge and rich decision-making experience is conducive to the resolution of divergence. The consensus process of factual knowledge is nearly linear,and the consensus process of viewpoint knowledge is nonlinear. Next step,the study will improve knowledge-based policy decision-making theories by supplementing cases at the grassroots level in other regions and the higher-level. Relevant theories will provide guidance for how to effectively reach consensus on knowledge-based policy decisions.
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