Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/202497 
Year of Publication: 
2018
Series/Report no.: 
GUT FME Working Paper Series A No. 3/2018 (49)
Publisher: 
Gdańsk University of Technology, Faculty of Management and Economics, Gdańsk
Abstract: 
The theoretical analysis of structural changes in the context of economic growth has a long tradition. However, studies which analyze the empirical relationship between these two economic categories are still very rare. In the literature, whether growth causes structural changes or the other way round is still an open the question. This paper empirically tests the relationship between structural changes (changes in gross value added and employment) and economic growth by using a panel Granger causality analysis based on annual data for 8 transition countries, covering the period 1995-2011. The main finding is that the causality relations analyzed are heterogeneous processes and are identified more often when we measure structural changes by value added than by changes in employment. Among the countries analyzed, we separate a subgroup of economies with very strong bilateral causality (small countries like Latvia, Lithuania, Estonia), a subgroup where no causal relationships are observed (e.g. Hungary for the case of employment) and a group with a one-directional relationship (e.g. Poland, where GDP changes cause employment changes in the Granger sense, but not vice versa).
Subjects: 
economic growth
structural changes
industries
panel data
Granger causality
CEE countries
JEL: 
C12
C33
O14
O47
O57
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Working Paper

Files in This Item:
File
Size
606.04 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.