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

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Global Approaches in Financial Economics, Banking, and Finance

Part of the book series: Contributions to Economics ((CE))

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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Author information

Authors and Affiliations

  1. Izmir Bakircay University, Izmir, Turkey

    Abdulkadir Hiziroglu

  2. Ankara Yildirim Beyazit University, Ankara, Turkey

    Ayhan Kapusuzoglu & Erhan Cankal

Authors
  1. Abdulkadir Hiziroglu
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  2. Ayhan Kapusuzoglu
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  3. Erhan Cankal
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Editor information

Editors and Affiliations

  1. Istanbul Medipol University, Istanbul, Turkey

    Hasan Dincer

  2. Istanbul Medipol University, Istanbul, Turkey

    Ümit Hacioglu

  3. Istanbul Medipol University , Istanbul, Turkey

    Serhat Yüksel

Keywords Definitions

Keywords Definitions

Energy consumption: Energy consumption is the total energy consumed by end users.

CO 2 emission: It means the release of the gases into the atmosphere over a specified area and period of time.

Economic growth: Economic growth is an increase in the output level by a country over a certain period of time.

Fuzzy clustering: Fuzzy clustering is a method that divides data into overlapping groups according to a similarity or distance measurement.

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Hiziroglu, A., Kapusuzoglu, A., Cankal, E. (2018). Grouping OECD Countries Based on Energy-Related Variables Using k-Means and Fuzzy Clustering. In: Dincer, H., Hacioglu, Ü., Yüksel, S. (eds) Global Approaches in Financial Economics, Banking, and Finance. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-78494-6_7

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