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Discovering the signs of Dutch disease in Russia

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  • Mironov, V.V.
  • Petronevich, A.V.

Abstract

​This paper examines the problem of Dutch disease in Russia during the oil boom of the 2000s, from both the theoretical and empirical points of view. Our analysis is based on the classical model of Dutch disease by Corden and Neary (1982). We examine the relationship between changes in the real effective exchange rate of the ruble and the evolution of the Russian economic structure during the period 2002 – 2013. We empirically test the main effects of Dutch disease, controlling for specific features of the Russian economy, namely the large role of state-owned organizations. We estimate the resource movement and spending effects as determined by the theoretical model and find the presence of several signs of Dutch disease: the negative impact of the real effective exchange rate on growth in the manufacturing sector, the growth of total income of workers, and the positive link between the real effective exchange rate and returns on capital in all three sectors. Although also predicted by the model and clearly observable, the shift of labor from manufacturing to services cannot be explained by ruble appreciation alone. Publication keywords: Dutch disease, resource curse, real effective exchange rate, cointegration model, economic policy, Russia

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  • Mironov, V.V. & Petronevich, A.V., 2015. "Discovering the signs of Dutch disease in Russia," BOFIT Discussion Papers 3/2015, Bank of Finland, Institute for Economies in Transition.
    • Handle: RePEc:bof:bofitp:2015_003
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    Cited by:

    1. Mironov, Valeriy V. & Petronevich, Anna V., 2015. "Discovering the signs of Dutch disease in Russia," Resources Policy, Elsevier, vol. 46(P2), pages 97-112.
    2. Scott M. R. Mahadeo & Reinhold Heinlein & Gabriella Deborah Legrenzi, 2018. "Energy Contagion Analysis: A New Perspective with Application to a Small Petroleum Economy," CESifo Working Paper Series 7279, CESifo.
    3. Barczikay, Tamás & Biedermann, Zsuzsánna & Szalai, László, 2020. "An investigation of a partial Dutch disease in Botswana," Resources Policy, Elsevier, vol. 67(C).
    4. Abdulaziz Hamad Algaeed, 2017. "Oil Price Fluctuations and the Future of Saudi Arabian Non-Oil Traded Sector: An Empirical Investigation," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 217-229.
    5. Nasir, Muhammad Ali & Naidoo, Lutchmee & Shahbaz, Muhammad & Amoo, Nii, 2018. "Implications of oil prices shocks for the major emerging economies: A comparative analysis of BRICS," Energy Economics, Elsevier, vol. 76(C), pages 76-88.
    6. Nasir, Muhammad Ali & Al-Emadi, Ahmed Abdulsalam & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 166-179.
    7. Shao, Shuai & Zhang, Yan & Tian, Zhihua & Li, Ding & Yang, Lili, 2020. "The regional Dutch disease effect within China: A spatial econometric investigation," Energy Economics, Elsevier, vol. 88(C).
    8. Mahadeo, Scott M.R. & Heinlein, Reinhold & Legrenzi, Gabriella D., 2019. "Energy contagion analysis: A new perspective with application to a small petroleum economy," Energy Economics, Elsevier, vol. 80(C), pages 890-903.
    9. Kristina V. Shvandar & Vsevolod Y. Cherkasov & Tatiana F. Burova, 2017. "Dutch Disease: Applying the Budget Rule and the Role of Structural Reforms," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 127006, Russia, issue 5, pages 20-32, October.
    10. Ville Kaitila, 2016. "GDP growth in Russia: different capital stock series and the terms of trade," Post-Communist Economies, Taylor & Francis Journals, vol. 28(2), pages 129-145, April.
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    16. Shumilov, Andrei, 2019. "Модели Зависимости Реального Курса Рубля От Цены И Стоимости Экспорта Нефти: Сравнительный Анализ [Oil prices versus oil export revenues as fundamental factors of the real Russian ruble exchange ra," MPRA Paper 96400, University Library of Munich, Germany.
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    JEL classification:

    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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