IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v35y2024i4d10.1134_s1075700724700011.html
   My bibliography  Save this article

Employment and Labor Productivity in Russia: Analysis and Forecasts

Author

Listed:
  • E. S. Uzyakova

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • A. A. Shirov

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

The article analyzes the main characteristics of employment in Russia, considers the peculiarities of their development. The dynamics of labor productivity and the structure of the employed population are analyzed in the sectoral context and taking into account international comparisons. The forecast of sectoral dynamics in labor productivity is evaluated depending on the speed and quality of economic growth. Here, the quality of economic growth is associated with the level and dynamics of technological development. The paper considers scenarios for medium-term development of the Russian economy and the forecasts of sectoral productivity for primary resources (as an indicator of technological changes in industries) and labor productivity achieved on their basis. The transition to forecast estimates of the number of employees was made taking into account the prospects for the country’s demographic development.

Suggested Citation

  • E. S. Uzyakova & A. A. Shirov, 2024. "Employment and Labor Productivity in Russia: Analysis and Forecasts," Studies on Russian Economic Development, Springer, vol. 35(4), pages 467-478, August.
  • Handle: RePEc:spr:sorede:v:35:y:2024:i:4:d:10.1134_s1075700724700011
    DOI: 10.1134/S1075700724700011
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700724700011
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S1075700724700011?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Vries, Gaaitzen J. & Erumban, Abdul A. & Timmer, Marcel P. & Voskoboynikov, Ilya & Wu, Harry X., 2012. "Deconstructing the BRICs: Structural transformation and aggregate productivity growth," Journal of Comparative Economics, Elsevier, vol. 40(2), pages 211-227.
    2. Leanne Roncolato & David Kucera, 2014. "Structural drivers of productivity and employment growth: a decomposition analysis for 81 countries," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(2), pages 399-424.
    3. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    4. M. Yu. Ksenofontov & D. A. Polzikov, 2018. "Retrospective Structural Shifts in the Russian Economy," Studies on Russian Economic Development, Springer, vol. 29(6), pages 625-636, November.
    5. I. D. Masakova, 2019. "The Russian Practice of Compiling Input-Output Tables: Problems and Prospects of Development," Studies on Russian Economic Development, Springer, vol. 30(2), pages 119-128, March.
    Full references (including those not matched with items on IDEAS)

    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. Vu, Khuong & Hartley, Kris, 2022. "Sources of transport sector labor productivity performance in industrialized countries: Insights from a decomposition analysis," Transport Policy, Elsevier, vol. 129(C), pages 204-218.
    2. Diane Coyle & Jen‐Chung Mei, 2023. "Diagnosing the UK productivity slowdown: which sectors matter and why?," Economica, London School of Economics and Political Science, vol. 90(359), pages 813-850, July.
    3. Erumban, Abdul A. & de Vries, Gaaitzen J., 2024. "Structural change and poverty reduction in developing economies," World Development, Elsevier, vol. 181(C).
    4. Hanan Morsy & Antoine Levy, 2020. "Growing without changing: A tale of Egypt's weak productivity growth," African Development Review, African Development Bank, vol. 32(3), pages 271-287, September.
    5. Aggarwal, Aradhna, 2019. "How has globalisation affected the economic growth, structural change and poverty reduction linkages? Insights from international comparisons," MERIT Working Papers 2019-015, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Ilya B. Voskoboynikov, 2020. "Structural Change, Expanding Informality and Labor Productivity Growth in Russia," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 394-417, June.
    7. Lavopa, Alejandro & Szirmai, Adam, 2012. "Industrialization, employment and poverty," MERIT Working Papers 2012-081, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Elstner, Steffen & Feld, Lars P. & Schmidt, Christoph M., 2018. "The German productivity paradox: Facts and explanations," Ruhr Economic Papers 767, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Volker Grossmann, 2005. "White-collar employment, inequality, and technological change," Journal of Economics, Springer, vol. 10(1), pages 119-142, December.
    10. Los, Bart & Timmer, Marcel P. & de Vries, Gaaitzen J., 2015. "How important are exports for job growth in China? A demand side analysis," Journal of Comparative Economics, Elsevier, vol. 43(1), pages 19-32.
    11. Svante Prado, 2014. "Yeast or mushrooms? Productivity patterns across Swedish manufacturing industries, 1869–1912," Economic History Review, Economic History Society, vol. 67(2), pages 382-408, May.
    12. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    13. Andrew Reeson & Lachlan Rudd, 2016. "ICT Activity, Innovation and Productivity: An Analysis of Data From Australian Businesses," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 245-255, September.
    14. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2008. "A Retrospective Look at the U.S. Productivity Growth Resurgence," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 3-24, Winter.
    15. Yunhee Kim & Jae Young Choi & Yeonbae Kim, 2009. "Complementarity and Contextuality in the Adoption of Information Systems in Korean Firms," TEMEP Discussion Papers 200919, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
    16. A. A. Shirov, 2020. "Assessment of Interregional Economic Interactions Using Statistics of Freight Railway Transportation," Studies on Russian Economic Development, Springer, vol. 31(2), pages 153-161, March.
    17. Rui Mano & Marola Castillo, 2015. "The Level of Productivity in Traded and Non-Traded Sectors for a Large Panel of Countries," IMF Working Papers 2015/048, International Monetary Fund.
    18. Espinoza, Héctor & Kling, Gerhard & McGroarty, Frank & O'Mahony, Mary & Ziouvelou, Xenia, 2020. "Estimating the impact of the Internet of Things on productivity in Europe," LSE Research Online Documents on Economics 116391, London School of Economics and Political Science, LSE Library.
    19. Qiansheng Gong & Xiangyu Wang & Xi Tang, 2023. "How Can the Development of Digital Economy Empower Green Transformation and Upgrading of the Manufacturing Industry?—A Quasi-Natural Experiment Based on the National Big Data Comprehensive Pilot Zone ," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    20. António Madureira & Nico Baken & Harry Bouwman, 2011. "Value of digital information networks: a holonic framework," Netnomics, Springer, vol. 12(1), pages 1-30, April.

    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:spr:sorede:v:35:y:2024:i:4:d:10.1134_s1075700724700011. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.