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

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

Author

Listed:
  • Abdulkadir Hiziroglu

    (Izmir Bakircay University)

  • Ayhan Kapusuzoglu

    (Ankara Yildirim Beyazit University)

  • Erhan Cankal

    (Ankara Yildirim Beyazit University)

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.

Suggested Citation

  • Abdulkadir Hiziroglu & Ayhan Kapusuzoglu & Erhan Cankal, 2018. "Grouping OECD Countries Based on Energy-Related Variables Using k-Means and Fuzzy Clustering," Contributions to Economics, in: Hasan Dincer & Ümit Hacioglu & Serhat Yüksel (ed.), Global Approaches in Financial Economics, Banking, and Finance, chapter 0, pages 151-169, Springer.
    • Handle: RePEc:spr:conchp:978-3-319-78494-6_7
    DOI: 10.1007/978-3-319-78494-6_7
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