英文标题：
《Hierarchical structure of the countries based on electricity consumption
and economic growth》
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作者：
Ersin Kantar, Alper Aslan, Bayram Deviren and Mustafa Keskin
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最新提交年份：
2014
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英文摘要：
We investigate the hierarchical structures of countries based on electricity consumption and economic growth by using the real amounts of their consumption over a certain time period. We use of electricity consumption data to detect the topological properties of 60 countries from 1971 to 2008. These countries are divided into three subgroups: low income group, middle income group and high income group countries. Firstly, a relationship between electricity consumption and economic growth is investigated by using the concept of hierarchical structure methods (minimal spanning tree (MST) and hierarchical tree (HT)). Secondly, we perform bootstrap techniques to investigate a value of the statistical reliability to the links of the MST. Finally, we use a clustering linkage procedure in order to observe the cluster structure more clearly. The results of the structural topologies of these trees are as follows: i) we identified different clusters of countries according to their geographical location and economic growth, ii) we found a strong relation between energy consumption and economic growth for all the income groups considered in this study and iii) the results are in good agreement with the causal relationship between electricity consumption and economic growth.
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中文摘要：
我们利用一段时间内各国的实际消费量，研究各国基于电力消费和经济增长的等级结构。我们使用电力消耗数据来检测1971年至2008年60个国家的拓扑特性。这些国家分为三个亚组：低收入国家、中等收入国家和高收入国家。首先，利用层次结构方法（最小生成树（MST）和层次树（HT）的概念，研究了电力消费与经济增长之间的关系。其次，我们使用引导技术来研究MST链接的统计可靠性值。最后，为了更清楚地观察簇结构，我们使用了一个聚类链接过程。这些树木结构拓扑的结果如下：i）我们根据地理位置和经济增长确定了不同的国家集群，ii）对于本研究中考虑的所有收入群体，我们发现能源消费与经济增长之间存在密切关系；iii）结果与电力消费与经济增长之间的因果关系一致。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Statistical Finance 统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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