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2018 | OriginalPaper | Buchkapitel

7. Grouping OECD Countries Based on Energy-Related Variables Using k-Means and Fuzzy Clustering

verfasst von : Abdulkadir Hiziroglu, Ayhan Kapusuzoglu, Erhan Cankal

Erschienen in: Global Approaches in Financial Economics, Banking, and Finance

Verlag: Springer International Publishing

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Abstract

The main purpose of this study is to examine the relationships between energy consumption, CO₂ emission and economic growth for 28 OECD countries and to form clusters based on the findings. The study is carried out under the 1990–2010 period, considering the annual data, the average annual values for each country are calculated and the countries are grouped by taking into account the main energy variables. This study examined OECD countries into three groups to form more specific clustering, rendering to test the hypotheses in current empirical studies, and examining the relationships of the interacted variables for within and inter-cluster countries.

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Titel: Grouping OECD Countries Based on Energy-Related Variables Using k-Means and Fuzzy Clustering
verfasst von: Abdulkadir Hiziroglu
Ayhan Kapusuzoglu
Erhan Cankal
Verlag: Springer International Publishing
Buch: Global Approaches in Financial Economics, Banking, and Finance
Print ISBN: 978-3-319-78493-9

Electronic ISBN: 978-3-319-78494-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-78494-6_7