IDEAS home Printed from https://ideas.repec.org/a/rom/terumm/v15y2020i4p21-37.html
   My bibliography  Save this article

Spatial Effects Of Informal Employment And Precarization In Urban Centres And Regions

Author

Listed:
  • Vyacheslav VOLCHIK

    (Southern Federal University, Bolshaya Sadovaya str. 105, Rostov-on -Don 344006, Russian Federation)

  • Elena MASLYUKOVA

    (Southern Federal University, Bolshaya Sadovaya str. 105, Rostov-on -Don 344006, Russian Federation)

  • Wadim STRIELKOWSKI

    (Cambridge Institute for Advanced Studies, 23 King Street, CB1 1AH Cambridge, United Kingdom)

Abstract

Informal employment constitutes a significant factor in economic development of large cities and regions. In this paper, we examine the informal employment within the context of instability and precarization of labor in the Russian cities and regions. We consider the negative effects in the higher education system as one of the factors in the formation of the precariat and informal employment. Universities and higher educational institutes have always been associated with the cities and their steady urban development. The aim of our study is to identify and assess the influence of the determinants of the development of employment in the informal sector in the Russian regions, taking into account the influence of spatial effects using spatial regression models and classical panel data models. The paper compares the use of spatial econometric models with classical panel data models to analyze the dependence of employment in the informal sector on various characteristics of regions. In order test the hypothesis of the influence of the spatial location of regions on the distribution of the share of employees in the informal sector, we employ the values of Moran and Geary indices of the global spatial autocorrelation. We use a matrix of inverse geographic distances between the centroids of the corresponding administrative units and a matrix of inverse shortest automobile distances as spatial weights. The persistently positive statistically significant values of the Moran and Geary indices confirm the presence of spatial autocorrelation. Moreover, the use of spatial econometric models also made it possible to obtain estimates of the coefficients taking into account the presence of positive spatial autocorrelation. Our results can be used for studying the instability in the labor market in the context of the formation of a stable precariat. Spatial effects can also be considered in relation to the evolution of the local institutional and organizational structure of the training system for regional labor markets.

Suggested Citation

  • Vyacheslav VOLCHIK & Elena MASLYUKOVA & Wadim STRIELKOWSKI, 2020. "Spatial Effects Of Informal Employment And Precarization In Urban Centres And Regions," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(4), pages 21-37, November.
    • Handle: RePEc:rom:terumm:v:15:y:2020:i:4:p:21-37
    as

    Download full text from publisher

    File URL: http://um.ase.ro/no154/2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. V. Gimpelson & A. Zudina., 2011. "Informal Workers in the Russian Economy: Who Are They and How Many?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    2. J. Paul Elhorst, 2003. "The Mystery of Regional Unemployment Differentials: Theoretical and Empirical Explanations," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 709-748, December.
    3. V. A. Rusanovskiy & V. A. Markov, 2016. "Influence of the spatial factor on the regional differentiation of unemployment in the Russian economy," Studies on Russian Economic Development, Springer, vol. 27(5), pages 593-604, September.
    4. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    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. Vyacheslav VOLCHIK & Elena MASLYUKOVA & Wadim STRIELKOWSKI, 2021. "Youth Labour Market Precarization In Regional And Urban Centres," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 5-19, November.

    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. Franziska Lottmann, 2012. "Regional Unemployment in Germany: a spatial panel data analysis," ERSA conference papers ersa12p53, European Regional Science Association.
    2. Franziska Lottmann, 2012. "Explaining regional unemployment differences in Germany: a spatial panel data analysis," SFB 649 Discussion Papers SFB649DP2012-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Lottmann, Franziska, 2012. "Explaining regional unemployment differences in Germany: A spatial panel data analysis," SFB 649 Discussion Papers 2012-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Alexandra Fedorets & Franziska Lottmann & Michael Stops, 2019. "Job matching in connected regional and occupational labour markets," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1085-1098, August.
    5. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
    6. Galiani, Sebastian & Lamarche, Carlos & Porto, Alberto & Sosa-Escudero, Walter, 2005. "Persistence and regional disparities in unemployment (Argentina 1980-1997)," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 375-394, July.
    7. Giovanni S F Bruno & Enrico Marelli & Marcello Signorelli, 2014. "The Rise of NEET and Youth Unemployment in EU Regions after the Crisis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 56(4), pages 592-615, December.
    8. Blien, Uwe & Sanner, Helge, 2015. "Structural change and regional employment development," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113162, Verein für Socialpolitik / German Economic Association.
    9. Luis Eduardo Arango & Ana María Ríos, 2015. "Duración del desempleo en Colombia: género, intensidad de búsqueda y anuncios de vacantes," BORRADORES DE ECONOMIA 012528, BANCO DE LA REPÚBLICA.
    10. Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.
    11. F. Pastore, 2015. "The Mezzogiorno and Crisis after Market and State Failures. A Review of Economic Literature," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 525-582.
    12. Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
    13. H Ingham & M Ingham & J Herbst, 2008. "Why do Local Unemployment Rates in Poland Vary so Much?," Working Papers 594943, Lancaster University Management School, Economics Department.
    14. Merkl, Christian & Snower, Dennis J., 2008. "Escaping the unemployment trap: The case of East Germany," Journal of Comparative Economics, Elsevier, vol. 36(4), pages 542-556, December.
    15. Kondo, Keisuke, 2015. "Spatial persistence of Japanese unemployment rates," Japan and the World Economy, Elsevier, vol. 36(C), pages 113-122.
    16. Michel Blanc & François Hild, 2008. "Analyse des marchés locaux du travail : du chômage à l'emploi," Économie et Statistique, Programme National Persée, vol. 415(1), pages 45-60.
    17. J Herbst & H Ingham & M Ingham, 2005. "Local unemployment in Poland," Working Papers 566803, Lancaster University Management School, Economics Department.
    18. Brixiová, Zuzana & Ncube, Mthuli & Bicaba, Zorobabel, 2015. "Skills and Youth Entrepreneurship in Africa: Analysis with Evidence from Swaziland," World Development, Elsevier, vol. 67(C), pages 11-26.
    19. Huang, Qiong & Chand, Satish, 2015. "Spatial spillovers of regional wages: Evidence from Chinese provinces," China Economic Review, Elsevier, vol. 32(C), pages 97-109.
    20. Nasser Dine Mohamedou, 2022. "Labor mobility within Japanese regional labor markets and spillover effects," The Japanese Economic Review, Springer, vol. 73(4), pages 625-645, October.

    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:rom:terumm:v:15:y:2020:i:4:p:21-37. 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: Colesca Sofia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.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.