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Functional specialisation and economic upgrading in GVCs

Description

The dataset collected for selected Central Eastern European (CEE) countries (CZE, EST, HUN, LVA, LTU, POL, SVK, SVN) contains country-level and sector-level observations for the project implementation linked to the concept of functional specialization of economies.
The aim of the project is to identify patterns of functional specialisation in global value chains (GVC) and determinants of upgrading it for selected CEE countries.
Functional specialisation index (rca_fsi) which provides a basis for the construction of dependent binary variable (fsi) in analysed models is obtained with the aid of an online appendix with replication files and the Matlab codes provided by Timmer et al. (2019).
The dataset contains Stata format files.
The results confirm that the higher labour productivity, labour compensation, skills and backward linkages are, the greater the probability is of climbing up the smile curve in management tasks and R&D activities. Upgrading functional specialisation in marketing tasks is supported by strong GVC linkages and may occur when wages are rising.
Marcel P Timmer, Sébastien Miroudot, Gaaitzen J de Vries, Functional specialisation in trade [dataset/supplementary data], Journal of Economic Geography, Volume 19, Issue 1, January 2019, Pages 1–30, https://doi.org/10.1093/jeg/lby056

Dataset file

data_functional specialisation_CEE.zip
234.6kB, MD5 676eedeb9eb544ba9f570be25d0f4394-1, downloads: 0

Details

Year of publication:
2020
Creation date:
2020
Dataset language:
English
Fields of science:
  • Economics and finance (Social studies)
License:
CC BY-NC
Non-commercial
DOI:
10.34808/hzrt-aq62 open in new tab
Verified by:
Gdańsk University of Technology

Keywords

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