Stress in the Real Economy of Russian Regions under the Pandemic and Sanctions
DOI:
https://doi.org/10.17059/ekon.reg.2024-1-2Keywords:
region, sanctions, pandemic, shock, stress index, industry, retail, paid services to the populationAbstract
Recently, the Russian economy has been affected by sanctions and pandemic shocks. Russian regions reacted differently depending on their spatial location and sectoral structure of economies. Using monthly data for 2016-2023, the article assesses the dynamics of stress of regions’ industrial production volume, retail turnover and volume of paid services to the population. A stress index is calculated as a moving difference between the standard deviation and the average growth rate of the indicator compared to the corresponding period of the previous year. An integrated stress index is a simple sum of individual stress indices normalised using the Z-score method within the panel data framework. As a result, time series of individual and integrated stress indices at the national, federal district and regional levels were obtained. The average stress levels of different Russian regions were compared for the entire period and three sub-periods: pre-pandemic, pandemic (from March, 2020 to February, 2022) and post-pandemic/new sanctions. The data revealed a greater and relatively uniform sensitivity of the service sector of Russian regions to the pandemic; various reactions of regional industries to sanctions, causing the diversification effect across the country; greater trade response to pandemic shocks and industry response to new sanctions. On average, the constituent entities of the North Caucasus Federal District turned out to be the most vulnerable to shocks, while the regions of the Siberian Federal District showed the greatest stability. The study demonstrated that sectoral structure and regional income level are significant factors determining the resilience of the regional real economy to pandemic shocks, while spatial location is also important in response to sanctions.
References
Ankudinov, A., Ibragimov, R., & Lebedev, O. (2017). Sanctions and the Russian stock market. Research in International Business and Finance, 40 , 150-162. https://doi.org/10.1016/j.ribaf.2017.01.005
Apostolakis, G. N., Floros, C., Gkillas, K., & Wohar, M. (2021). Financial stress, economic policy uncertainty, and oil price uncertainty. Energy Economics, 104 , 105686. https://doi.org/10.1016/j.eneco.2021.105686
Balakrishnan, R., Danninger, S., Elekdag, S., & Tytell, I. (2011). The transmission of financial stress from advanced to emerging economies. Emerging Markets Finance and Trade, 47 (sup2), 40-68. https://doi.org/10.2753/REE1540-496X4703S203
Cevik, E. I., Dibooglu, S., & Kutan, A. M. (2013). Measuring financial stress in transition economies. Journal of Financial Stability, 9 (4), 597-611. https://doi.org/10.1016/j.jfs.2012.10.001
Du, X., & Wang, Z. (2022). Multinationals, global value chains, and the welfare impacts of economic sanctions. Economics Letters, 220 , 110870. https://doi.org/10.1016/j.econlet.2022.110870
Giannakis, E., & Bruggeman, A. (2020). Regional disparities in economic resilience in the European Union across the urban–rural divide. Regional Studies, 54 (9), 1200-1213. https://doi.org/10.1080/00343404.2019.1698720
Haddou, S. (2022). International financial stress spillovers to bank lending: Do internal characteristics matter? International Review of Financial Analysis, 83 , 102289. https://doi.org/10.1016/j.irfa.2022.102289
Hakkio, C. S., & Keeton, W. R. (2009). Financial stress: What is it, how can it be measured, and why does it matter? Economic Review, 94 (2), 5-50.
Kaneva, M. (2022). Determinants of Economic Growth in Regions with Diverse Incidence of COVID-19. ECO [EKO], 52 (11), 90–108. https://doi.org/10.30680/eco0131-7652-2022-11-90-108 (In Russ.)
Kolomak, E. (2020). Economic effects of pandemic-related restrictions in Russia and their spatial heterogeneity. R-Economy, 6 (3), 154-161. https://doi.org/10.15826/recon.2020.6.3.013
Lagravinese, R. (2015). Economic crisis and rising gaps North-South: evidence from the Italian regions. Cambridge Journal of Regions, Economy and Society, 8 (2), 331–342. https://doi.org/10.1093/cjres/rsv006
Malkina, M. Yu. (2022). Resilience of the Russian Regional Economies to the 2020 Pandemic. Prostranstvennaya ekonomika [Spatial Economics], 18 (1), 101-124. https://doi.org/10.14530/se.2022.1.101-124 (In Russ.)
Malkina, M. Yu., & Balakin, R. V. (2022). Stress Index of the Tax System of the Russian Federation in Terms of Tax Revenues. Journal of Tax Reform, 8 (3), 251–269. https://doi.org/10.15826/jtr.2022.8.3.120
Martin, R. (2012). Regional economic resilience, hysteresis and recessionary shocks. Journal of Economic Geography, 12 (1), 1–32. https://doi.org/10.1093/jeg/lbr019
Martin, R., Sunley, P., Gardiner, B., & Tyler, P. (2016). How Regions React to Recessions: Resilience and the Role of Economic Structure. Regional Studies, 50 (4), 561–585. https://doi.org/10.1080/00343404.2015.1136410
Martini, B. (2020). Resilience and economic structure. Are they related? Structural Change and Economic Dynamics, 54 , 62-91. https://doi.org/10.1016/j.strueco.2020.03.006
Nazlioglu, S., Soytas, U., & Gupta, R. (2015). Oil prices and financial stress: A volatility spillover analysis. Energy Policy, 82 , 278-288. https://doi.org/10.1016/j.enpol.2015.01.003
Nguyen, T. T., & Do, M. H. (2021). Impact of economic sanctions and counter-sanctions on the Russian Federation’s trade. Economic Analysis and Policy, 71 , 267-278. https://doi.org/10.1016/j.eap.2021.05.004
Polat, O., & Ozkan, I. (2019). Transmission mechanisms of financial stress into economic activity in Turkey. Journal of Policy Modelling, 41 (2), 395-415. https://doi.org/10.1016/j.jpolmod.2019.02.010
Semin, A., Vasiljeva, M., Sokolov, A., Kuznetsov, N., Maramygin, M., Volkova, M., Zekiy, A., Elyakova, I., & Nikitina, N. (2020). Improving Early Warning System Indicators for Crisis Manifestations in the Russian Economy. Journal of Open Innovation: Technology, Market, and Complexity, 6 (4), 171. https://doi.org/10.3390/joitmc6040171
Sheng, X., Kim, W. J., Gupta, R., & Ji, Q. (2023). The impacts of oil price volatility on financial stress: Is the COVID-19 period different? International Review of Economics & Finance, 85 , 520-532. https://doi.org/10.1016/j.iref.2023.02.006
Smirnov, S. V., & Smirnov, S. S. (2022). Monitoring Russian business cycle with daily indicators. Voprosy Ekonomiki, 5 , 26-50. https://doi.org/10.32609/0042-8736-2022-5-26-50 (In Russ.)
Turgel, I. D., Chernova, O. A., & Usoltceva, A. A. (2022). Resilience, robustness and adaptivity: Large urban Russian Federation regions during the COVID-19 crisis. Area Development and Policy, 7 (2), 222-244. https://doi.org/10.1080/23792949.2021.1973522
Tuzova, Y., & Qayum, F. (2016). Global oil glut and sanctions: The impact on Putin’s Russia. Energy Policy, 90 , 140-151. https://doi.org/10.1016/j.enpol.2015.12.008
Zhang, D., & Li, B. (2022). What can we learn from financial stress indicator? Finance Research Letters, 50 , 103293. https://doi.org/10.1016/j.frl.2022.103293
Zubarevich, N. V. (2022). Regions of Russia in the new economic realities. Zhurnal Novoy ekonomicheskoy assotsiatsii [Journal of the New Economic Association], 3 (55), 226-234. https://doi.org/10.31737/2221-2264-2022-55-3-15 (In Russ.)
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