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Diffusion of nuclear energy in some developing countries

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  • Dalla Valle, Alessandra
  • Furlan, Claudia

Abstract

Electric power demand is increasing worldwide and, in the last years, energy policy has focused on expanding nuclear power, especially in developing countries. One of the key points surrounding this issue is the depletion time of uranium; further, forecasters had estimated that the use of nuclear reactors would come to a halt in 2020 by IAEA. It is apparent that we can no longer sustain the evolutionary model of energy consumption typical of the last century. The Fukushima disaster of 2011 reopened the debate about the use of nuclear energy to produce electricity. Japan, Switzerland and Germany decided to halt new nuclear projects. However, the question remains: would the world's uranium resources suffice to meet nuclear energy projects, especially those slated in the developing countries? This paper offers an analysis of nuclear energy diffusion of some graduated developing countries (the Slovak Republic and South Korea) and some developing countries (Ukraine, China, Bulgaria, and India); moreover, it estimates the depletion time of uranium using a Generalized Bass model and OECD forecasts, with the uranium requirements scheduled for 2035. This study concludes that, given the estimated depletion time of uranium, and considering 50years as a reasonable lifetime for reactors, the present international nuclear energy policy, and in particular the nuclear projects of the developing countries are not sustainable.

Suggested Citation

  • Dalla Valle, Alessandra & Furlan, Claudia, 2014. "Diffusion of nuclear energy in some developing countries," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 143-153.
  • Handle: RePEc:eee:tefoso:v:81:y:2014:i:c:p:143-153
    DOI: 10.1016/j.techfore.2013.04.019
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    4. Furlan, Claudia & Guidolin, Mariangela & Guseo, Renato, 2016. "Has the Fukushima accident influenced short-term consumption in the evolution of nuclear energy? An analysis of the world and seven leading countries," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 37-49.
    5. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    6. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
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