论高度复杂性条件下的政府职能议题——职能转变路向与研究范式变革

发布时间：2018-06-14 22:44

本文选题：政府职能 + 复杂性　；参考：《探索》2017年01期

【摘要】：长期以来,政府职能议题得到了人们的持续性关注,已经成为政治学和公共行政学的共有主题。在政府社会治理的实践中,为了应对社会复杂性的增强以及治理问题的复杂化,政府职能呈现出持续性增长的态势。20世纪后期以来,当人类社会逐渐从低度复杂性演变为高度复杂性的时候,既有的政府社会治理模式遭遇前所未有的挑战。"治理失灵"的常态化和总体性在事实上宣告了政府通过职能增长来降低社会复杂性的行动的失败。在这种情形下,运用复杂性的理论视角来对高度复杂性条件下的政府职能议题作专门的研究具有重要的意义。在高度复杂性的社会条件下政府职能将会转变为引导型,政府将会通过扮演引导者的角色来与非政府伙伴展开合作,以共同应对复杂性的无限增长。政府职能的研究也将服务于对引导型职能的理论确认和优化,从实证主义导向的研究转变为一种以规范研究为内核的总体性研究。
[Abstract]:For a long time, the issue of government function has been continuously concerned by people and has become a common theme in politics and public administration. In the practice of government social governance, in order to cope with the increase of social complexity and the complexity of governance, the government functions show a trend of sustained growth since the late 20th century. As human society gradually evolves from low complexity to high complexity, the existing model of government social governance is facing unprecedented challenges. " The normality and totality of governance failure in fact declare the failure of the government's action to reduce the social complexity through the function growth. In this case, it is of great significance to use the theory of complexity to make a special study on the issue of government function under the condition of high complexity. Under the highly complex social conditions, the government function will be transformed into the leading type, and the government will cooperate with the non-governmental partners by playing the role of guide, so as to cope with the infinite growth of complexity. The research of government functions will also serve the theoretical confirmation and optimization of guiding functions, from positivism oriented research to a general study with normative research as the core.
【作者单位】：陕西师范大学政治经济学院;
【基金】：国家社会科学基金青年项目“治理能力现代化视阈下政府职能履行方式研究”(14CZZ003),项目负责人:郑家昊国家留学基金资助项目“政府职能履行方式创新研究:美国经验及其中国本土化”(201506875017),项目负责人:郑家昊江苏服务型政府建设研究基地项目“行动主义视野中的社会治理变革研究”(AE89372&AE15001_21),项目负责人:向玉琼
【分类号】：D630

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