IDEAS home Printed from https://ideas.repec.org/a/far/spaeco/y2022i2p83-100.html
   My bibliography  Save this article

Interrelation between Supply and Demand Factors in Regional Labor Markets

Author

Listed:
  • Alexander Nikolaevich Tyrsin

    (Ural Federal University
    South Ural State University (National Research University))

  • Elena Vitalyevna Vasilyeva

    (Institute of Economics of the UB RAS)

Abstract

The article presents the author’s approach to the analysis of matching the demand for labor and its supply. The essence of the approach lies in the dynamic assessment the closeness of the relationship between two sets of indicators describing each of the factors. The proposed model for calculating the coefficient characterizing the closeness of the relationship allowed us to consider simultaneously the factors of the formation of demand for labor and its supply, as well as to make quantitative estimates. The approach was tested using the data from the subjects of the Russian Federation situated in the Ural Federal District. The results of the assessment showed that during the period from 2000 to 2019 the closeness of relationship between the indicators of supply and demand factors in the labor market increased. The most significant contribution to the coordination between supply and demand in the regional labor markets is made by the demographic factor, i.e. the share of the population of working age. In addition, in some subjects of the Russian Federation, the functioning of the labor market is quite significantly affected by the retail turnover, the amount of investment in fixed assets and the graduation of specialists. The use of the coefficient of closeness of the relationship allowed us to consider simultaneously all the indicators of the factors of supply and demand in the labor market and make quantitative estimates. Such a unique approach makes it possible to avoid the objectively existing restrictions in the statistical accounting of employment and unemployment

Suggested Citation

  • Alexander Nikolaevich Tyrsin & Elena Vitalyevna Vasilyeva, 2022. "Interrelation between Supply and Demand Factors in Regional Labor Markets," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 83-100.
    • Handle: RePEc:far:spaeco:y:2022:i:2:p:83-100
    DOI: https://dx.doi.org/10.14530/se.2022.2.083-100
    as

    Download full text from publisher

    File URL: http://www.spatial-economics.com/images/spatial-econimics/2022_2/SE.2022.2.083-100.Tyrsin.pdf
    Download Restriction: no
    File URL: http://spatial-economics.com/eng/arkhiv-nomerov/2022/117-2022-2/1045-SE-2022-2-83-100
    Download Restriction: no
    File URL: https://libkey.io/https://dx.doi.org/10.14530/se.2022.2.083-100?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. Michael Hopkins, 2002. "The Measurement and Monitoring of Mismatches (Employment and Unemployment);," Palgrave Macmillan Books, in: Labour Market Planning Revisited, chapter 3, pages 56-73, Palgrave Macmillan.
    2. Michael Hopkins, 2002. "Labour Market Planning Revisited," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-4039-2026-3, December.
    3. Krugman, Paul R. (Кругман, Пол) & Smith, Vernon L. (Смит, Вернон) & Solow, Robert M. (Солоу, Роберт), 2016. "Economics for the Curious. Inside the Minds of 12 Nobel Laureates [Экономика Для Любознательных. О Чем Размышляют Нобелевские Лауреаты]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 162-187, October.
    4. A. A. Shirov, 2020. "Statistics for the Benefit of Economics and Society," Studies on Russian Economic Development, Springer, vol. 31(1), pages 3-6, January.
    5. Viktor Koksharov & Daniil Sandler & Sergey Kadochnikov & Dmitrii Tolmachev, 2012. "Research and development potential of the Russian higher education institutions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 33-46.
    6. V. Gimpelson, 2004. "Shortage of Skills in the Labor Market: Limited Supply, Lack of Demand, or False Signals from Employers?," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 3.
    7. David Card, 2011. "Origins of the Unemployment Rate: The Lasting Legacy of Measurement without Theory," American Economic Review, American Economic Association, vol. 101(3), pages 552-557, May.
    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. A. I. Pyzhev, 2022. "The Forest Industry of the Regions of Siberia and the Far East: Prospects for the Development of the Forest-Climate Sector," Studies on Russian Economic Development, Springer, vol. 33(4), pages 402-408, August.
    2. Anna Aizer & Shari Eli & Adriana Lleras-Muney & Keyoung Lee, 2020. "Do Youth Employment Programs Work? Evidence from the New Deal," NBER Working Papers 27103, National Bureau of Economic Research, Inc.
    3. Poitras, Geoffrey, 2018. "The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 89-98.
    4. Clifford F. Thies, 2017. "Slip and Drift in Labor Statistics Since 2007," Econ Journal Watch, Econ Journal Watch, vol. 14(1), pages 121–132-1, January.
    5. Cristina Gabriela ZAMFIR, 2018. "Unemployment Prospective in Romania," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 79-86.
    6. Fernando Martins & Domingos Seward, 2019. "Into the heterogeneities in the Portuguese labour market: an empirical assessment," Working Papers w201908, Banco de Portugal, Economics and Research Department.
    7. Hugh Rockoff, 2019. "On the Controversies behind the Origins of the Federal Economic Statistics," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 147-164, Winter.
    8. Carneiro, Pedro & Lee, Sokbae & Reis, Hugo, 2020. "Please call me John: Name choice and the assimilation of immigrants in the United States, 1900–1930," Labour Economics, Elsevier, vol. 62(C).
    9. Lofgren, Hans & Cicowiez, Martin & Diaz-Bonilla, Carolina, 2013. "MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 159-276, Elsevier.
    10. Yulia I. Pyzheva & Evgeniya V. Zander & Anton I. Pyzhev, 2021. "Impacts of Energy Efficiency and Economic Growth on Air Pollutant Emissions: Evidence from Angara–Yenisey Siberia," Energies, MDPI, vol. 14(19), pages 1-10, September.
    11. Süheyla Erikli & Serap Pelin Türkoğlu, 2021. "OECD Ülkelerinin İşgücü Piyasası Performans Analizi," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(80), pages 299-320, June.
    12. Olha Hrynkevych & Olha Levytska & Ihor Baranyak, 2023. "Human resources for regional development in Ukraine: A roadmap for forecasting and determining a regional training request," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(1), pages 95-107, February.
    13. Yakovlev, A., 2017. "Demand for Skills and Training, Middle Income Trap and Prospects of Catch-Up Development in Russia," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 166-173.
    14. Donald J. Hernandez & Jeffrey S. Napierala, 2020. "Disparities in U.S. Parental Employment Insecurity and Child Well-Being Across Income Groups: Before, During, and After the Great Recession," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(3), pages 741-775, June.
    15. Li, Teng & Barwick, Panle Jia & Deng, Yongheng & Huang, Xinfei & Li, Shanjun, 2023. "The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China," Journal of Urban Economics, Elsevier, vol. 135(C).
    16. Felder, Rahel & Sheldon, George, 2023. "Ein System zur laufenden Messung der Knappheitsverhältnisse auf beruflichen Arbeitsmärkten in der Schweiz," Working papers 2023/10, Faculty of Business and Economics - University of Basel.
    17. Burenin, Alexander (Буренин, Александр), 2019. "The Limits of Macroeconomic Policy Under the Eye of Economic Crisis [Пределы Макроэкономической Политики Под Углом Зрения Экономических Кризисов]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 76-91, February.
    18. Rebecca M. Aldrich & Debbie Laliberte Rudman & Na Eon (Esther) Park & Suzanne Huot, 2020. "Centering the Complexity of Long-Term Unemployment: Lessons Learned from a Critical Occupational Science Inquiry," Societies, MDPI, vol. 10(3), pages 1-22, September.
    19. Anton I. Pyzhev & Roman V. Gordeev & Eugene A. Vaganov, 2020. "Reliability and Integrity of Forest Sector Statistics—A Major Constraint to Effective Forest Policy in Russia," Sustainability, MDPI, vol. 13(1), pages 1-10, December.
    20. Debra L. Brucker & Nicholas G. Rollins & Andrew J. Houtenville, 2018. "Striving to Work," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 541-558, September.

    More about this item

    Keywords

    labor market; demand; supply; labor force; region;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • N97 - Economic History - - Regional and Urban History - - - Africa; Oceania
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:far:spaeco:y:2022:i:2:p:83-100. 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: Sergey Rogov (email available below). General contact details of provider: https://edirc.repec.org/data/ecrinru.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.