Scenario Forecast for Wind Turbine Manufacturing in Russia

Authors

  • Svetlana Valerievna Ratner V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences http://orcid.org/0000-0003-3485-5595
  • Vladislav Valerievich Klochkov V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences

Abstract

In this paper we suggest a method of evaluation of the prospects of creating and developing a wind energy-engineering sector in Russia, which is oriented, primarily, on domestic needs. Using the concept of learning curves as a framework, we evaluate the possible volumes of production of green energy equipment in Russia and prospects of competitiveness of such industries. Analysis of documents which determine the future development of Russian energy shows market share of Russian manufactures will be significantly lower than that of most wind energy equipment manufacturers, and wouldn't allow for a competitive level of costs and prices of Russian wind energy equipment. In the initial stages of domestic development of wind energy equipment, the average labor productivity may make up around 70-90% of the level of worldwide leaders, however this loss in productivity can be offset by tax benefits, which would stimulate entrepreneurs to localize their productions in Russia.

Keywords: energy equipment machine-building, productivity, learning-by-doing effect

JEL Classifications: O33, Q42, Q47, Q48

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Author Biographies

Svetlana Valerievna Ratner, V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences

Leading research fellow of Economic dynamics and innovation management laboratory 

Vladislav Valerievich Klochkov, V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences

Leading research fellow of Economic dynamics and innovation management laboratory

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Published

2017-04-14

How to Cite

Ratner, S. V., & Klochkov, V. V. (2017). Scenario Forecast for Wind Turbine Manufacturing in Russia. International Journal of Energy Economics and Policy, 7(2), 144–151. Retrieved from https://econjournals.com/index.php/ijeep/article/view/4222

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