IDEAS home Printed from https://ideas.repec.org/a/url/izvest/v24y2023i3p119-135.html
   My bibliography  Save this article

Regional labour market: A method for research

Author

Listed:
  • Ekaterina S. Dashkova

    (Voronezh State University, Voronezh, Russia)

  • Natalia V. Dorokhova

    (Voronezh State University, Voronezh, Russia)

Abstract

Turbulent socioeconomic environment significantly affects the state and dynamics of the regional labour market. The paper develops and tests a methodological toolkit for assessing the state of a regional labour market allowing for the main socioeconomic trends – digitalisation and innovative development of the economy. Labour economics constitutes the methodological basis of the research. Methods of economic statistical and content analysis were used. The evidence is the 2021 data of the Federal State Statistics Service of the Russian Federation concerning the labour markets of the Central Black Earth economic region of Russia, which comprises Belgorod, Voronezh, Kursk, Lipetsk and Tambov oblasts. The suggested method for investigating the state of the regional labour market takes into account the impact of digitalisation and innovative development processes on the latter. Testing the method at the case of the Central Black Earth economic region revealed that the regions’ labour markets appreciably lag behind other subjects of the Russian Federation in terms of wages and encounter labour shortages against rather low rates of digital transformation and innovative development in their economies. The paper formulates recommendations for all parties of the social partnership, which suggest boosting the investment attractiveness of regions; creating high-productive jobs; spurring the activities of trade unions and associations; retaining the youth in the regions; increasing the efficiency of career guidance; attracting labour migrants, first and foremost, from other Russian regions due to improvements in economic, social and household infrastructure; promoting competencies of citizens of pre-retirement age and retired citizens; creating conditions for acceleration of digital transformation as well as expanding regions’ innovation activities.

Suggested Citation

  • Ekaterina S. Dashkova & Natalia V. Dorokhova, 2023. "Regional labour market: A method for research," Journal of New Economy, Ural State University of Economics, vol. 24(3), pages 119-135, October.
  • Handle: RePEc:url:izvest:v:24:y:2023:i:3:p:119-135
    DOI: 10.29141/2658-5081-2023-24-3-6
    as

    Download full text from publisher

    File URL: https://jne.usue.ru/images/download/100/6.pdf
    Download Restriction: no

    File URL: https://jne.usue.ru/en/issues-2023/1364
    Download Restriction: no

    File URL: https://libkey.io/10.29141/2658-5081-2023-24-3-6?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. Işgın, Ebru & Sopher, Barry, 2015. "Information transparency, fairness and labor market efficiency," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 33-39.
    2. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Nicole M. Fortin & Thomas Lemieux & Neil Lloyd, 2021. "Labor Market Institutions and the Distribution of Wages: The Role of Spillover Effects," Journal of Labor Economics, University of Chicago Press, vol. 39(S2), pages 369-412.
    5. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    6. Frank Fossen & Alina Sorgner, 2019. "Mapping the Future of Occupations: Transformative and Destructive Effects of New Digital Technologies on Jobs," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(2), pages 10-18.
    7. John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2018. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 183-300.
    8. Okudaira, Hiroko & Takizawa, Miho & Yamanouchi, Kenta, 2019. "Minimum wage effects across heterogeneous markets," Labour Economics, Elsevier, vol. 59(C), pages 110-122.
    9. Korovkin, A., 2018. "Current Status and Prospects of Employment Sphere and Labor Market Developments in Russia: Macroeconomic Estimates," Journal of the New Economic Association, New Economic Association, vol. 37(1), pages 168-176.
    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. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Carbonero, Francesco & Scicchitano, Sergio, 2021. "Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?," GLO Discussion Paper Series 765, Global Labor Organization (GLO).
    3. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    4. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    5. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    6. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    7. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    8. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    10. Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
    11. Hasbi, Maude & Bohlin, Erik, 2021. "Impact of Broadband Quality on Median Income and Unemployment: Evidence from Sweden," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238026, International Telecommunications Society (ITS).
    12. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    13. Eichhorst, Werner & Buhlmann, Florian, 2015. "Die Zukunft der Arbeit und der Wandel der Arbeitswelt," IZA Standpunkte 77, Institute of Labor Economics (IZA).
    14. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    15. Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2022. "Coevolution of job automation risk and workplace governance," Research Policy, Elsevier, vol. 51(3).
    16. Arellano-Bover, Jaime & Saltiel, Fernando, 2021. "Differences in On-the-Job Learning across Firms," IZA Discussion Papers 14473, Institute of Labor Economics (IZA).
    17. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    18. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.
    19. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    20. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    21. Oussama Chemlal & Wafaa Benomar, 2024. "The Technological Impact on Employment in Spain between 2023 and 2035," Forecasting, MDPI, vol. 6(2), pages 1-30, April.

    More about this item

    Keywords

    labour market; socioeconomic environment; regions; regional economy; labour economics; Central Black Earth economic region of Russia;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

    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:24:y:2023:i:3:p:119-135. 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.