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Long-term projections as a tool for the formation of science and technology policy
[Долгосрочные Прогнозы Как Инструмент Формирования Научно-Технологической Политики]

Author

Listed:
  • Kurakova, Natalia (Куракова, Наталия)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Zinov, Vladimir (Зинов, Владимир)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Komarov, Vladimir (Комаров, Владимир)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Pavlov, Pavel (Павлов, Павел)

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

The results of the analysis of long-term forecasts of scientific and technological development of Russia suggest that a substantial part of the allocated priorities in these documents create a risk of inefficient usage of public funds. The article is an excerpt from the above analysis that illustrate the typical risks of the currently approved long-term priorities for the development of applied science in Russia and proposals to improve the methodology of scientific and technological forecasting.

Suggested Citation

  • Kurakova, Natalia (Куракова, Наталия) & Zinov, Vladimir (Зинов, Владимир) & Komarov, Vladimir (Комаров, Владимир) & Pavlov, Pavel (Павлов, Павел), 2014. "Long-term projections as a tool for the formation of science and technology policy [Долгосрочные Прогнозы Как Инструмент Формирования Научно-Технологической Политики]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 7-32.
    • Handle: RePEc:rnp:ecopol:ep1449
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    References listed on IDEAS

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    1. Woo Hyoung Lee, 2008. "How to identify emerging research fields using scientometrics: An example in the field of Information Security," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 503-525, September.
    2. Yuri V. Granovsky, 2001. "Is It Possible to Measure Science? V. V. Nalimov's Research in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 127-150, October.
    3. Fuchs, Erica R.H., 2010. "Rethinking the role of the state in technology development: DARPA and the case for embedded network governance," Research Policy, Elsevier, vol. 39(9), pages 1133-1147, November.
    4. Kenneth G. Huang & Fiona E. Murray, 2010. "Entrepreneurial Experiments in Science Policy: Analizing the Human Genome Project," DRUID Working Papers 10-22, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    5. Gohar Feroz Khan & Han Woo Park, 2012. "Editorial: Triple Helix and innovation in Asia using scientometrics, webometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 1-7, January.
    6. Péter Vinkler, 2012. "The Garfield impact factor, one of the fundamental indicators in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 471-483, August.
    7. Gisler, Monika & Sornette, Didier & Woodard, Ryan, 2011. "Innovation as a social bubble: The example of the Human Genome Project," Research Policy, Elsevier, vol. 40(10), pages 1412-1425.
    8. Huang, Kenneth G. & Murray, Fiona E., 2010. "Entrepreneurial experiments in science policy: Analyzing the Human Genome Project," Research Policy, Elsevier, vol. 39(5), pages 567-582, June.
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    Citations

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    Cited by:

    1. Stepan Zemtsov & Vyacheslav Baburin, 2015. "Knowledge economy formation in Russian regions in 2000th," ERSA conference papers ersa15p1540, European Regional Science Association.
    2. V. KomarovM. & V. A. Barinova & S. P. Zemtsov, 2016. "Approaches To Forming A Technological Hub In Lomonosov Moscow State University," Economics of Science, Delo Publishing house, vol. 2(2).
    3. Komarov, Vladimir (Комаров, Владимир), 2015. "Economic Development Strategy: is it time to update the paradigm? [Стратегия Экономического Развития: Время Обновить Парадигму?]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 24-39.

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