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Energy Efficiency Drivers in South Africa: 1965-2014

Author

Listed:
  • Goodness C. Aye

    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Peter Wanke

    (COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355. 21949-900 Rio de Janeiro)

Abstract

This paper presents an efficiency assessment in South Africa from 1965-2014 using Technique for Order Preference by Similarity to The Ideal Solution (TOPSIS). In this research, TOPSIS is used first in a two-stage approach to assess how energy efficiency in South Africa evolved using the most frequent indicators adopted by the literature. Afterwards, in the second stage, neural networks are combined with TOPSIS results as part of an attempt to produce a model for energy performance with effective predictive ability. The results reveal different impacts of contextual variables, such as the rise of China in foreign trade, the Apartheid Regime, and oil shocks, on energy efficiency levels in South Africa.

Suggested Citation

  • Goodness C. Aye & Rangan Gupta & Peter Wanke, 2015. "Energy Efficiency Drivers in South Africa: 1965-2014," Working Papers 201571, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201571
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    Keywords

    energy efficiency; South Africa; TOPSIS; two-stage; neural networks;
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