北京航空航天大学学报(社会科学版) ›› 2019, Vol. 32 ›› Issue (2): 70-76.DOI: 10.13766/j.bhsk.1008-2204.2019.0008

• 本期特约专家稿件 • 上一篇    下一篇

流浪儿童救助策略研究——基于史密斯政策执行过程模型

贾洪波, 李继红   

  1. 北京航空航天大学 公共管理学院, 北京 100083
  • 收稿日期:2019-01-03 出版日期:2019-03-25 发布日期:2019-03-28
  • 作者简介:贾洪波(1976-),男,甘肃镇原人,副研究员,博士,研究方向为社会养老保障、社会医疗保障、社会保障经济理论与实践.
  • 基金资助:

    国家社科基金一般项目"中国流动人口社会保障制度协调机制研究"(14BRK020);北京航空航天大学第一批人文社科拔尖人才项目(ZJ226S181J)

Research on the Strategy of Street Children Assistance Based on Smith's Policy Implementation Process Model

JIA Hongbo, LI Jihong   

  1. School of Public Administration, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2019-01-03 Online:2019-03-25 Published:2019-03-28

摘要:

政策执行是政策过程的重要环节。"史密斯政策执行过程模型"表明理想的政策、执行机构、目标群体和政策环境是影响政策执行成功与否的关键。救助内容单一和救助模式陈旧是流浪儿童救助政策执行困境的主要表现。基于史密斯政策执行过程模型,流浪儿童救助政策执行困境的原因是理想化的政策文本缺乏、执行机构有效执行能力不足、目标群体复杂性高、执行流浪儿童救助的政策环境薄弱。完善流浪儿童救助政策执行需要提高政策文本的可操作性、提升执行机构的能力、分类救助目标群体、营造良好的政策环境。

关键词: 史密斯模型, 流浪儿童, 社会救助, 政策执行

Abstract:

Policy implementation is the pivotal part to policy process. According to Smith's policy implementation process model, ideal policy, implementation institution, targeted group, and policy environment are the key factors for whether policy implementation is success or not. The dilemma of policy implementation for street children mainly is the simple assistance content and out-dated assistance mode. In line with Smith's policy implementation process model, scarcity of ideal policy documents, insufficiency of effective abilities for implementation institution, high complexity of targeted group, and poor policy environment all contribute to the dilemma of policy implementation for street children. To improve the policy for street children assistance, it is suggested that operability of policy documents be enhanced, ability of policy implementation institution be improved, assistant to targeted group be categorized, and friendly policy environment be created.

Key words: Smith's model, street children, social assistance, policy implementation

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