Universities’ Contribution to More Effective Public Policies

L. Lucaciu
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Abstract

Focusing on understanding the specific gap in the availability and accessibility of the learning opportunities for public managers, the paper is based on the author experience in policy and programme design, implementation and evaluation in EU member states and EU neighbourhood countries. The importance of the theme is explained by the recognised constraints experienced in the policies and programmes’ analysis and evaluation. These phases appear to be deeply influenced by the availability of data, capacity to produce the necessary data, competences of the public managers and specialists to make the best use of data to formulate conclusions, identify alternative solutions and select the most appropriate ones. Based on a large literature review, the author outlines a clear map of the key actors in policy and programme design and evaluation, their role and the optimal competencies. Further on the author created an inventory of the typical gaps in ensuring the best use of data for effective policies and programmes, as well as solutions and measures implemented in different countries.  The role of the universities and interactions with other actors for filling the gaps identified is assessed, leading to conclusions regarding the most effective future actions. The paper highlights the key role of the universities to develop specific competencies through education and training programmes, as well to contribute through research to new methodologies and tools for analysis and evaluation.
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大学对更有效的公共政策的贡献
本文基于作者在欧盟成员国和欧盟邻国的政策和方案设计、实施和评估方面的经验,重点了解公共管理人员学习机会的可得性和可及性方面的具体差距。在政策和方案的分析和评价中所遇到的公认的限制解释了这一主题的重要性。这些阶段似乎深受下列因素的影响:数据的可得性、产生必要数据的能力、公共管理人员和专家充分利用数据拟订结论、确定备选解决办法和选择最适当解决办法的能力。在大量文献综述的基础上,作者清晰地勾勒出政策和方案设计与评价中的关键角色、他们的作用和最佳胜任能力。此外,作者还编制了一份清单,列出了在确保最佳地利用数据制定有效政策和方案以及在不同国家实施的解决办法和措施方面存在的典型差距。评估了大学的作用以及与其他行动者在填补所确定的空白方面的相互作用,从而得出关于未来最有效行动的结论。该文件强调了大学通过教育和培训计划发展特定能力的关键作用,以及通过研究为分析和评估提供新的方法和工具。
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来源期刊
Journal of Computational Technologies
Journal of Computational Technologies Mathematics-Applied Mathematics
CiteScore
0.60
自引率
0.00%
发文量
37
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