Technology Co-evolution Analysis in the Energy Sector

  • Sungjoo Lee
  • Byungun Yoon
Part of the Springer Proceedings in Physics book series (SPPHY, volume 135)


This paper suggests the method that can describe the co-evolutionary patterns in the energy sectors. Technologies that have facilitated the growth of other technologies should get the priority in the R&D investment, if other conditions are almost the same. In the suggested method, LVC equations were applied to the patents relating to energy technologies. Then a network showing the interactions between technologies in their evolution process is visualised. Research findings will provide numerous implications for policy-making and strategic planning for energy technology development.


Energy Technology Energy Sector Patent Data Pure Competition Coal Technology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Jefferson, M.: Sustainable energy development: performance and prospects. Renewable Energy 31, 571–582 (2006)CrossRefGoogle Scholar
  2. 2.
    Nemet, G., Kammen, D.: U.S. Energy research and development: declining investment, increasing need, and the feasibility of expansion. Energy Policy 35, 746–755 (2007)CrossRefGoogle Scholar
  3. 3.
    Kajikawa, Y., Yoshikawa, J., Takeda, Y., et al.: Tracking emerging technologies in energy research: toward a roadmap for sustainable energy  75, 771–782 (2008)Google Scholar
  4. 4.
    Lotka, A.: Elements of physical biology. Williams and Wilkins, Baltimore (1925)zbMATHGoogle Scholar
  5. 5.
    Ernst, H.: Patent information for strategic technology management. World Patent Information 25(3), 233–242 (2003)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Lee, S., Kim, M., Park, Y.: ICT co-evolution and Korean ICT strategy: an analysis based on patent data, Telecommunications Policy (2009) doi: 10.1016/j.telpol.2009.02.004Google Scholar
  7. 7.
    Bazykin, A.: Nonlinear dynamics of interacting populations. In: Khibnik, A., Krauskopf, B. (eds.) World Scientific Series on Nonlinear Science, A11. World Scientific, Singapore (1998)Google Scholar
  8. 8.
    Kim, J., Lee, D., Ahn, J.: A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model. Computers & Industrial Engineering 51(1), 174–182 (2006)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sungjoo Lee
    • 1
  • Byungun Yoon
    • 2
  1. 1.Department of Industrial & Information Systems EngineeringAjou UniversitySuwon, Kyungki-doSouth Korea
  2. 2.Department of Industrial & Systems EngineeringDongguk UniversitySeoulSouth Korea

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