欧盟及其成员国凝聚力政策的评级分析

Metodi Hristov
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引用次数: 0

摘要

成功的欧洲联盟(欧盟)和成员国凝聚力政策需要深入分析,可以使用不同的方法。本研究仅关注评级分析的潜力。为此,首先尝试创建两个基本评级。这些是欧盟国家经济和社会状况的凝聚力评级和投资费用的投资评级。为了构建这些评级,使用了选定的绝对和相对指标。在此基础上,对其值取平均值的可能性进行了处理。对平均指标进行升序或降序排序,以便根据每个指标对欧盟不同国家进行排名。之后,将显示创建两个评级的可能性。研究结果表明,企业投资与企业凝聚力评级呈负相关关系。假设反向依赖是基于这样一个事实,即一个国家更好的经济和社会条件需要较少的投资支出来实现凝聚力政策目标,反之亦然。依赖性的程度也被处理。假设它可以通过两个评级值之间的差来评估。还得出结论,可以用这些差异的百分比表示来衡量依赖程度。本研究的结论支持了凝聚力政策评级分析的使用应与其他统计、数学和计量经济学方法和方法相结合的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rating Analysis of Cohesion Policy of the European Union and the Member Countries
The successful European Union (EU) and Member States Cohesion Policy requires an in deep analysis in which different approaches can be used. This study is focused only on the potential of the rating analysis. For this purpose firstly there is an attempt to create two basic ratings. These are the Cohesion rating of the economic and social situation of the EU countries and the investment rating for their investment expenses. For the construction of these ratings are used selected absolute and relative indicators. On this basis, the possibility of averaging of their values is treated. The ascending or descending ranking of the average indicators is made in order to rank the different countries of EU by each indicator. After that, the possibility of creating the two ratings is shown. This study shows the inverse dependency between the investment and the Cohesion ratings. It is assumed that inverse dependency is based on the fact that better economic and social conditions of a given country need less investments expenses for meeting Cohesion policy goals and vice versa. The degree of the dependency is also treated. It is assumed that it can be evaluated by the differences between the values of the two ratings. It is also concluded that measurement of the degree of dependency is possible to be made by the percentage representation of these differences. The conclusion of this study supports the view that the use of the Cohesion Policy rating analysis should be combined with the use of other statistical, mathematical and econometric methods and approaches.
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