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Profiling the EU lobby organizations in Banking and Finance

机译:对银行和金融业的欧盟游说组织进行分析

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摘要

Creating a map of actors and their leanings is important for policy makers and stakeholders in the European Commission’s ‘Better Regulation Agenda’. We explore publicly available information about the European lobby organizations from the Transparency Register, and from the open public consultations in the area of Banking and Finance. We consider three complementary types of information about lobbying organizations: (i) their formal categorization in the Transparency Register, (ii) their responses to the public consultations, and (iii) their self-declared goals and activities. We consider responses to the consultations as the most relevant indicator of the actual leaning of an individual lobbyist.We partition and cluster the organizations according to their demonstrated interests and the similarities among their responses. Thus each lobby organization is assigned a profile which shows its prevailing interest in consultations’ topics, similar organizations in interests and responses, and a prototypical question and answer. We combine methods from network analysis, clustering, and text mining to obtain these profiles. Due to the non-homogeneous consultations, we find that it is crucial to first construct a response network based on interests in consultations topics, and only then proceed with more detailed analysis of the actual answers to consultations. The results provide a first step in the understanding of how lobby organizations engage in the policy making process.
机译:对于欧盟委员会“更好的监管议程”中的政策制定者和利益相关者而言,创建参与者和他们的倾向图非常重要。我们从透明度注册簿以及银行和金融领域的公开公众咨询中探索有关欧洲游说组织的公开信息。我们考虑了有关游说组织的三种补充信息:(i)透明度登记册中的正式分类;(ii)对公众咨询的回应;以及(iii)自我声明的目标和活动。我们将对磋商的回应视为单个游说者实际倾向的最相关指标。我们根据组织表现出的兴趣和回应之间的相似性对组织进行划分和分组。因此,为每个游说组织分配了一个配置文件,以显示其对咨询主题的普遍兴趣,对兴趣和响应的类似组织以及典型的问答。我们结合了网络分析,聚类和文本挖掘的方法来获取这些配置文件。由于协商不统一,我们发现至关重要的是,首先要建立基于协商主题兴趣的响应网络,然后才对协商的实际答案进行更详细的分析。结果为了解游说组织如何参与决策过程提供了第一步。

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