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Some Problems in Statistically Assessing the Level of Knowledge Economy

Author

Listed:
  • Gwang-Nam Rim

    (Kim Il Sung University)

  • Gang-Sok Kim

    (Kim Il Sung University)

  • Sun-Hui Hwang

    (Kim Il Sung University)

  • Un-Dok Ko

    (Kim Il Sung University)

Abstract

At present, what is important in the management of knowledge economy is to assess its current level and take measures for its development. What is important in establishing the statistical assessment methodology for the level of knowledge economy is to set the key indicators for assessment and to improve its assessment methodology. For the purpose of research, we conducted the theoretical research on the main concepts related to assessing the level of knowledge-based economy, and on this basis, we set the key indicators for assessment and suggested the general assessment methodology. The first part of the paper discusses the theoretical background for statistically assessing the level of knowledge-based economy. In this part, we discussed the features of knowledge resource as the source of economic growth and the features and the expressions of knowledge-based economy. The second part of the paper suggests the statistical assessment methodology for the level of knowledge-based economy. After illustrating the different assessment methodologies for the level of knowledge-based economy, we suggested the key indicators and the methodology for statistically assessing the level of knowledge economy, based on the essential features of knowledge economy described in the first part and prior studies.

Suggested Citation

  • Gwang-Nam Rim & Gang-Sok Kim & Sun-Hui Hwang & Un-Dok Ko, 2019. "Some Problems in Statistically Assessing the Level of Knowledge Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 974-996, September.
    • Handle: RePEc:spr:jknowl:v:10:y:2019:i:3:d:10.1007_s13132-017-0510-0
    DOI: 10.1007/s13132-017-0510-0
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    References listed on IDEAS

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    1. Jensen, Morten Berg & Johnson, Bjorn & Lorenz, Edward & Lundvall, Bengt Ake, 2007. "Forms of knowledge and modes of innovation," Research Policy, Elsevier, vol. 36(5), pages 680-693, June.
    2. Norihisa Sakurai & Evangelos Ioannidis & George Papaconstantinou, 1996. "The Impact of R&D and Technology Diffusion on Productivity Growth: Evidence for 10 OECD Countries in the 1970s and 1980s," OECD Science, Technology and Industry Working Papers 1996/2, OECD Publishing.
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    Citations

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    Cited by:

    1. Jinhui Li & Gwang-Nam Rim & Chol-Ju An, 2023. "Comparative Study of Knowledge-Based Economic Strength Between China and the USA," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4256-4292, December.
    2. Gwang-Nam Rim & Sun-Nam Jang & Chol-Ju An & Sun-Hui Hwang & Son-Hui Ri, 2020. "State Economic Strength and Some Methodological Issues on Its Assessment," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 607-636, November.
    3. Elena Širá & Roman Vavrek & Ivana Kravčáková Vozárová & Rastislav Kotulič, 2020. "Knowledge Economy Indicators and Their Impact on the Sustainable Competitiveness of the EU Countries," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    4. Voxi Heinrich Amavilah & Antonio Rodriguez Andres, 2022. "Knowledge Economy and the Economic Performance of African Countries: A Seemingly Unrelated and Recursive Approach," Working Papers 57, The German University in Cairo, Faculty of Management Technology.
    5. Kwee Keong Choong & Patrick W. Leung, 2022. "A Critical Review of the Precursors of the Knowledge Economy and Their Contemporary Research: Implications for the Computerized New Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1573-1610, June.

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