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

Abdulkadir Hiziroglu, Ayhan Kapusuzoglu and Erhan Cankal
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Abdulkadir Hiziroglu: Izmir Bakircay University
Ayhan Kapusuzoglu: Ankara Yildirim Beyazit University
Erhan Cankal: Ankara Yildirim Beyazit University

Chapter Chapter 7 in Global Approaches in Financial Economics, Banking, and Finance, 2018, pp 151-169 from Springer

Abstract: 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.

Keywords: Energy consumption; CO2 emission; Economic growth; Fuzzy clustering (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-319-78494-6_7

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DOI: 10.1007/978-3-319-78494-6_7

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