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Journal of Applied Sciences
  Year: 2009 | Volume: 9 | Issue: 14 | Page No.: 2576-2583
DOI: 10.3923/jas.2009.2576.2583
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Multivariate Classification of China’s Regional Energy Consumption Pattern

Enebeli Emmanuel Emeka, Cheng Jinhua and Xu Xiaoping

The unbalanced mix of energy consumption pattern in China and its environmental consequences have been a controversial topic researched on by many researchers. With an energy consumption structure clearly dominated by coal, the emission of CO2 into the atmosphere becomes inevasible, posing future danger to the environment and the health of its citizenry. Before formulating successful policy reforms that will put in check this danger or proffer an alternative energy source, identification of dense energy consumption regions is paramount. This study looks at regional energy consumption pattern of 30 Chinese regions and further investigates whether there is evidence of distinct groups of regions based on their energy consumption indicators by means of cluster analysis. Ningxia and Qinghai regions were identified as outliers and were excluded from initial consideration. Four-cluster groups were obtained using Ward’s hierarchical clustering method with 7, 13, 4 and 4 cluster members, respectively in each of the clusters. The resulting cluster groups were statistically evaluated against their Gross Regional Products using General Linear Model (GLM) procedure and the result obtained was significant at 5% level of significance. However, further analysis shows that Ningxia and Qinghai regions could be considered under cluster 4 for policy formulation and implementation purposes.
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How to cite this article:

Enebeli Emmanuel Emeka, Cheng Jinhua and Xu Xiaoping, 2009. Multivariate Classification of China’s Regional Energy Consumption Pattern. Journal of Applied Sciences, 9: 2576-2583.

DOI: 10.3923/jas.2009.2576.2583






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