title: The impact of digitalization on the demand for labor in the context of working specialties: Spatial analysis
metadata.name: dc.contributor.author
metadata.value: Dubrovskaya, Julia V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kosonogova, Elena V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-11-03T09:46:34Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-11-03T09:46:34Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Dubrovskaya J. V., Kozonogova E. V. (2021) The impact of digitalization on the demand for labor in the context of working specialties: Spatial analysis. St Petersburg University Journal of Economic Studies, vol. 37, iss. 3, pp. 395–412.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu05.2021.302
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/33410
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The spread of digital technologies, as well as the expansion of remote work practices, have a
  direct impact on the transformation of the labor market. At the same time, there is no wellestablished
  scholarly consensus about the nature and consequences of this influence. The key
  premise of the article is that there are relatively few empirical studies on the labor market
  that account for the influence of the location of regions relative to each other. This article
  tests a hypothesis about the significance of location and neighborhood of territories on labor
  demand in the context of economic digitalization, based on the calculation of coefficients of
  demand localization for specialists of different profiles and methods of spatial econometrics.
  The assessment is based on the evaluation of the registered unemployment rate heterogeneity
  for municipalities in the Perm region of the Russian Federation, using the global and local
  Moran’s indexes. The studies revealed a positive spatial autocorrelation among neighboring
  municipalities that proved the high spatial heterogeneity of the registered unemployment rate.
  Centers of localization and development of labor resources (“growth poles”) and territories
  affected by spillover effects were also identified. This demonstrates that spatial inter-territorial
  relations have a significant impact on the demand for labor, which makes it necessary to account
  for spatial effects when modeling dynamics of employment indicators. The method of
  labor market analysis based on the assessment of spatial heterogeneity of the unemployment
  rate and the calculation of localization coefficients is universal and can be applied to various
  taxonomic units.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: St Petersburg University Journal of Economic Studies;Volume 37; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: demand for labor
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: registered unemployment rate
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Moran index
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: localization rates
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: digital economy
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: spatial heterogeneity
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: The impact of digitalization on the demand for labor in the context of working specialties: Spatial analysis
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 395-412.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/33410/1/395-412.pdf
resources.format: Adobe PDF
resources.size: 1,05 MB