This document discusses a study on productivity spillovers in global value chains (GVCs) for Poland and other new EU member states. The study aims to examine how participation in GVCs and a firm's position in the production chain affects productivity. It uses firm-level data from multiple countries and years, and measures of GVC participation and foreign value-added content. The results show heterogeneous effects, with Poland experiencing more gains from intermediate goods GVCs, while other countries see benefits from final goods production. Participation in GVCs is also linked to lower productivity differences between domestic and foreign firms in some cases.
3. Motivation
Method
Results
Conclusions
Introduction
Literature
Why?
Ongoing internationalization of New Member States
economies due to:
transition
EU integration
involvement in the GVC
Internationalization is believed to have important direct and
indirect eects on rm productivity
through selection eects (export related)
through FDI hosting
through FDI productivity spillovers
FDI exports are already well established in the literature -
but to what extent participation in GVC and the position in
the production chain matters for productivity?
Hagemejer Productivity GVC
4. Motivation
Method
Results
Conclusions
Introduction
Literature
Why GVC?
Emerging economies compete for a good placement in the
GVCs. This motivates rms to restructure and reorganize.
Inclusion in GVC may involve:
adoption of high quality standards
adoption of modern technology
adoption of modern management techniques
The smile curve debate? Ye, Meng, and Wei (2015), Kowalski
et al. (2015) or Cheng et al. (2015). Is the distribution of
gains uniform along the GVC? Is it good to be close to the
nal demand?
Hagemejer Productivity GVC
5. Motivation
Method
Results
Conclusions
Introduction
Literature
Literature
FDI spillover literature is already abundant.
Most studies follow the Sma損y束ska-Javorcik (2004) method
based on rm-level data and input output tables. Other
notable works Haddad and Harrison (1993), Aitken and
Harrison (1999), Djankov and Hoekman (2000) or Konings
(2001).
Own sector eects, backward and forward eects.
Review can be found in Crespo, Fontoura, and Proenca (2009)
Irsova and Havranek (2013) analyse more than a 1000 of FDI
spillovers in a large-scale meta-analysis showing that, NMS:
the overall evidence of FDI spillovers is heterogeneous.
Hagemejer and Kolasa (2011) show large spillovers from
sectoral internationalization (FDI, exporting, imports of
intermediates). Spillovers are either horizontal of backward.
Hagemejer Productivity GVC
6. Motivation
Method
Results
Conclusions
Outline
Foreign ownership premium
Spillovers from GVC
GVC measures
What we do?
Incorporate the GVC measures in the productivity
premia/spillover framework
Use Amadeus database for the economies of the New Member
States
Compute TFP using Levinsohn and Petrin (2003) method
using materials as a proxy for unobservables
Combine multiple waves of Amadeus to maximize the span of
the sample: 1997-2011 for most countries
Merge rm-level Amadeus database with the sector-level GVC
and spillover measures computed using the WIOD database.
Hagemejer Productivity GVC
7. Motivation
Method
Results
Conclusions
Outline
Foreign ownership premium
Spillovers from GVC
GVC measures
Premia from foreign ownership
Is GVC participation associated with a lower productivity GAP
between foreign and domestic rms?
The following equation is estimated:
TFPit = 硫1foreignit +硫2foreignit 揃GVCit +硫3GVCit +竜it (1)
Hagemejer Productivity GVC
8. Motivation
Method
Results
Conclusions
Outline
Foreign ownership premium
Spillovers from GVC
GVC measures
Spillovers from GVC
Is GVC participation associated with a lower productivity GAP
between foreign and domestic rms?
The following equation is estimated for domestic rms:
TFPijt = 留0 +留1HZjt +留2BWjt +留3FWjt
+留4GVCjt +留5EXPjt +竜it (2)
TFPijt is a change of TFP in rm i in sector j and time t.
HZjt, BWjt,FWjt are the measures of horizontal, backward and
forward linkages as dened originally by Smazynska-Javorcik
(2004).
EXPjt is a change in export share of output at sectoral level
to account for productivity eects related to exporting
(learning-by-exporting or self selection).
Firm-level xed eects, time dummies, sector-clustered SE
Hagemejer Productivity GVC
9. Motivation
Method
Results
Conclusions
Outline
Foreign ownership premium
Spillovers from GVC
GVC measures
GVC measures
We measure upstreamness according to the denition provided
by Antras et al. (2012).
Ui = 1 揃
Xi
Yi
+2 揃
N
ij zij Xj
Yi
+3 揃
N
k=1N
ij zij zjk
Yi
+... (3)
We measure foreign content of exports using Wang, Wei, and
Zhu (2013) backward-based decomposition that is valid on the
sectoral level
FVA (foreign value added of exports) - from intermediate and
nal goods
VS (vertical specialization) - overall foreign content of exports
Hagemejer Productivity GVC
17. Conclusions
Results are heavily heterogenous
Poland: most of the GVC related productivity gains are in
intermediate goods
this is where foreign content of exports is associated with lower
productivity dierences between domestic and foreign
enterprises. At the same time productive rms are, other
things equal, located close to the nal demand.
it pays of to be on close to the nal consumer unless being
further away involves a high content of imported foreign value
added in exported goods.
In most of the other countries (except Hungary where results
are similar to that of Poland) where positive spillovers in the
GVC exist, they tend to stem from production of nal goods.
Results are similar when labour productivity is used instead of
TFP.