为斯洛伐克的创意经济制定新政策

Emile M. Roest, A. Dudeková
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引用次数: 0

摘要

本研究的目的是了解创意产业政策的制定,特别是定量和定性数据或信息对于制定国家和地区层面的第一批创意产业政策的重要性。这项研究的目的是评估是否有可能在没有具体的定量数据可供使用的情况下,为创意产业起草有用的政策,这种情况在新制定此类政策时经常出现。使用的方法是一个简短的文献综述和一个案例研究。该案例研究涉及东斯洛伐克地区Košice建筑部门的政策发展,作者在起草Košice地区创意经济发展战略的任务背景下执行了该研究。本研究中提出的统计数据是在该任务的背景下产生的。作者发现,以斯洛伐克和Košice地区为例,关于创意产业作为一个新政策领域的数据非常有限。在国家一级和区域一级,定性数据和资料对制定政策都是最有用的。除其他外,这是可能的,因为定性需求评估是可行的;国际文献和最佳做法为制定政策提供了指导方针;并且因为一般的政策可以通过需求驱动的项目来处理特定的需求。该研究的含义是,关于创意产业的具体定量数据不需要被视为起草和实施创意产业政策的必要条件。就公共开支的效率和效力而言,评价政策的产出和影响将需要数量数据。指标的选择和定量数据的收集、处理和解释应当是政策实施的一个组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formulating New Policy for the Creative Economy in Slovakia
Abstract The purpose of the research is to understand formulation of policy for creative industries, and in particular the importance of quantitative and qualitative data or information for formulation of the first policies for creative industries at national and regional level. The goal of the research is to assess whether it is possible to draft useful policy for the creative industry without having specific quantitative data at its disposal, which is often the case when such policy is being newly developed. The methodology used is a brief literature review, and a case study. The case study regards policy development for the architectural sector in the East-Slovak region of Košice, which was executed by the authors in the context of the assignment to draft a strategy for development of the creative economy of the Košice region. Statistical data presented in this research were generated in the context of that assignment.The authors found that in the case of Slovakia and the region of Košice, the availability of data on the creative industries as a new policy area is very limited. Both at national level and at regional level, qualitative data and information are most useful for formulating policy. This is possible among others because qualitative needs’ assessment is feasible; international literature and best practices provide a guideline for formulating policy; and because general policies can address specific requirements through demand driven projects. The implication of the research is that specific quantitative data on the creative industries does not need to be considered a conditio sine qua non for drafting and implementing policy for the creative industries. Quantitative data will be necessary for evaluating outputs and impact of policy, in terms of efficiency and effectiveness of public spending. The choice of indicators, and collecting, processing and interpreting of quantitative data shall be an integral part of the policy to be implemented.
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