• Lietuvių
    • English
  • English 
    • Lietuvių
    • English
  • Login
View Item 
  •   DSpace Home
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • View Item
  •   DSpace Home
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Quantitative assessment of the industrial composition in the country’s regions

Thumbnail
Date
2018
Author
Ginevičius, Romualdas
Gedvilaitė, Dainora
Stasiukynas, Andrius
Metadata
Show full item record
Abstract
To this date, insufficient number of reasoned methods for assessing the industrial composition in the country or in the region in an integrated and quantitative manner is on offer. The existing proposals are basically intended for explaining the drivers of change in the industrial composition as well as the reasons thereof. Following this analysis, the most export-oriented industries are determined. Hence, the focus is not on assessing the industrial composition of a country or a region itself in a quantitative manner, but rather the impact of the changes thereof on economic indicators, i.e. derivative measures of industrial composition. The industrial composition of a country or a region can be described through indicators that reflect three key aspects, i.e. the variety of active economic entities by their number, size and types of economic activities. The proposed methodology is suitable for assessing the industrial composition of a country’s region.
Issue date (year)
2018
URI
https://etalpykla.vilniustech.lt/handle/123456789/123890
Collections
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjects / KeywordsInstitutionFacultyDepartment / InstituteTypeSourcePublisherType (PDB/ETD)Research fieldStudy directionVILNIUS TECH research priorities and topicsLithuanian intelligent specializationThis CollectionBy Issue DateAuthorsTitlesSubjects / KeywordsInstitutionFacultyDepartment / InstituteTypeSourcePublisherType (PDB/ETD)Research fieldStudy directionVILNIUS TECH research priorities and topicsLithuanian intelligent specialization

My Account

LoginRegister