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Tag: shift-share analysis

Approaching the service-based economy: regionally differentiated employment growth in Czechia

The study assesses the employment dynamics of LAU1 regions in Czechia (Czech Republic) in the period 2001-2011 using the territorial approach. It is operationalised on the basis of typological regions. Regions are differentiated fi rstly by their rurality according to the OECD methodology and the development of non-agricultural employment is used as the second differentiating characteristic. This refl ects the regional differentiation based on the character of regional employment development potential. The specifi cs of rural regions are highlighted. Employment dynamics are assessed in the light of the process of employment restructuring both in its territorial and sectoral characteristics. The results illustrate employment in the service sector to be a viable driver of employment development regardless the degree of rurality but in absolute effects conditioned by its value. Furthermore, employment development is conditioned by the sectoral structure of regional employment. Components of employment development are identifi ed by application of shift-share analysis. The strength of the competitive effect describing the existence of locational advantages for specifi c sectors is further relativised to calculate its relevance for employment change. In conclusion, the existence of locational advantages has only a minor impact in terms of its relative size on employment change that ...

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  • Scopus SJR (2023): 0.29
  • Scopus CiteScore (2022): 2.0
  • WoS Journal Impact Factor (2023): 0.9
  • WoS Journal Citation Indicator (2023): 0.33
  • ISSN (electronic): 2063-0476
  • ISSN-L 1418-2106

 

Impressum

Publisher Name: Institute of Agricultural Economics Nonprofit Kft. (AKI)

Publisher Headquarters: Zsil utca 3-5, 1093-Budapest, Hungary

Name of Responsible Person for Publishing:        Dr. Pal Goda

Name of Responsible Person for Editing:             Dr. Attila Jambor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The publication cost of the journal is supported by the Hungarian Academy of Sciences.

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