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A novel analysis model of China’s new energy talents

Author

Listed:
  • Liu, Lin
  • Li, Guodong
  • Luo, Han

Abstract

Sustainable development of the new energy industry requires continuous input from professional talents. The new energy industry will continue to grow in importance, and the characteristics of the necessary cross-discipline talents that will promote its development are becoming more and more defined. This article puts forward an analysis model starting with the addition of talents carriers subdivided by specialties, and takes this subdivision as a starting point with the purpose of maximizing talents selection throughout the entire nation. First of all, we define each talent as a specific vector. Then a clustering algorithm is used to perform an analysis and the new energy talents database is created. Finally, we use an algorithm based on graph theory and discrete mathematics to calculate the essential value of the talents vector. This value provides a measurement of the importance of the talents. The current talents structure is analyzed in order to clarify understanding of the present situation so as to enable informed planning of targeted training needs and structural adjustments, thus meeting the sustainable development requirements for the new energy industry in China.

Suggested Citation

  • Liu, Lin & Li, Guodong & Luo, Han, 2013. "A novel analysis model of China’s new energy talents," Renewable Energy, Elsevier, vol. 58(C), pages 21-27.
    • Handle: RePEc:eee:renene:v:58:y:2013:i:c:p:21-27
    DOI: 10.1016/j.renene.2013.03.006
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    References listed on IDEAS

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    1. Wu, Yunna & Luo, Wei & Bian, Qing, 2012. "The research on performance management for new energy project oriented company based on information system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4370-4378.
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    Cited by:

    1. Li, Guodong & Liu, Lin & Luo, Han, 2014. "Network study of the distribution of talent in the Chinese renewable energy industry," Renewable Energy, Elsevier, vol. 63(C), pages 779-784.

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