IDEAS home Printed from https://ideas.repec.org/a/url/izvest/v23y2022i2p102-124.html
   My bibliography  Save this article

Long-term trends in differentiation between regions: Sverdlovsk oblast vs Chelyabinsk oblast

Author

Listed:
  • Daria S. Bents

    (Chelyabinsk State University, Chelyabinsk, Russia)

Abstract

Threats of increased differentiation across regions, which have caused inefficient spatial development, are progressively coming into the scientists’ focus. By and large, a peripheral region is unlikely to take the place of the center. In the Urals1 , the Sverdlovsk oblast has long been the center and stayed ahead of its neighbours in terms of socioeconomic performance. Our previous research revealed a phenomenon called ‘synchronisation of economies’. Accordingly, the Chelyabinsk oblast in many instances repeats the trends of the Sverdlovsk oblast, but remains at the periphery. In this regard, studying the differentiation between the two economies becomes a relevant issue. The research aims to construct long-term trends of differentiation between regions using the case of the Sverdlovsk and Chelyabinsk oblasts. The theories of spatial development, including the theory of cumulative growth, constitute the methodological basis of the research. Applying the methods of statistical comparison and times series analysis, the study interprets the data published by Russia’s Federal State Statistics Service (Rosstat), the Unified Interdepartmental Statistical Information System (UISIS), and generated by FIRA PRO information analytics system (OOO “First Independent Rating Agency”). The author proposes a method for assessing differentiation across regions based on 12 indicators. The findings demonstrate that for 2001–2020, the variation between the regions in terms of GRP per capita (in 2001 prices) has increased, whereas in terms of wages in prices of the same year it decreased. In relation to the outsider region, the Sverdlovsk oblast has kept its position in terms of the real GRP per capita compared to the Chelyabinsk oblast, which is approaching the outsider. At the same time, for 2001–2020, both regions have become closer to the leader. With regard to the real wages, the positions of the regions have nearly equalized, the ‘superiority’ over the outsider has decreased.

Suggested Citation

  • Daria S. Bents, 2022. "Long-term trends in differentiation between regions: Sverdlovsk oblast vs Chelyabinsk oblast," Journal of New Economy, Ural State University of Economics, vol. 23(2), pages 102-124, July.
  • Handle: RePEc:url:izvest:v:23:y:2022:i:2:p:102-124
    DOI: 10.29141/2658-5081-2022-23-2-6
    as

    Download full text from publisher

    File URL: https://jne.usue.ru/images/download/95/eng/6.pdf
    Download Restriction: no

    File URL: https://jne.usue.ru/en/issues-2022/1160
    Download Restriction: no

    File URL: https://libkey.io/10.29141/2658-5081-2022-23-2-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marina Malkina, 2019. "Spatial wage inequality and its sectoral determinants: the case of modern Russia," Oeconomia Copernicana, Institute of Economic Research, vol. 10(1), pages 69-87, March.
    2. Aleksandr Kuklin & Alla Leontyeva, 2011. "Differentiation of population income and poverty problem (based on the data of Tyumen region)," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 93-98.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daria S. Bents & Aleksandr V. Rezepin, 2023. "Medium-term trends in economic and technological development of metals industry regions," Journal of New Economy, Ural State University of Economics, vol. 24(3), pages 91-118, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Venera Timiryanova & Dina Krasnoselskaya & Natalia Kuzminykh, 2022. "Applying the Multilevel Approach in Estimation of Income Population Differences," Stats, MDPI, vol. 6(1), pages 1-32, December.
    2. Aleksandra Matuszewska-Janica & Dorota Witkowska, 2021. "Differences between determinants of men and women monthly wages across fourteen European Union states," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(3), pages 503-531, September.
    3. Shulei Cheng & Wei Fan & Jianlin Wang, 2022. "Investigating the humanitarian labor efficiency of China: a factor-specific model," Annals of Operations Research, Springer, vol. 319(1), pages 439-461, December.
    4. Rolando I. Valdez & Francisco García-Fernández, 2022. "The distribution of wage inequality across municipalities in Mexico: a spatial quantile regression approach," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 669-697, September.

    More about this item

    Keywords

    differentiation across regions; Sverdlovsk oblast; Chelyabinsk oblast; real GRP per capita; real wages; differentiation coefficients;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:url:izvest:v:23:y:2022:i:2:p:102-124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Victor Blaginin (email available below). General contact details of provider: https://edirc.repec.org/data/usueeru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.