a comparative analysis of the gvc position of the economies of the nms
TRANSCRIPT
Up or down the value chain?A comparative analysis of the GVC position of the economies of the
NMS
Jan Hagemejer1 & Mahdi Ghodsi2
1NBP & University of Warsaw 2WIIW & UoWFunded by NSC grant no 2013/09/D/HS4/01519
February 27, 2015
Motivation: NMS production shares
Source: WIOD
I NMS maintain a high share of manufacturing in total output...
I ...despite ongoing growth in the service sector
I �The NMS are the backbone of the German manufacturing�
Motivation (2): NMS trade partners shares
Figure: Trade structure
Source: WIOD
I European integration has brought a relative increase of intra-NMStrade...
I ... but the fragmentation and globalization processes have boostedimports and exports from/to China and RoW
I International trade in substitutes or complements (competition vscooperation)?
Motivation (3): NMS production and trade structure
Figure: Imports, exports and output
Figure: Share of intermediates in exports and imports
Questions
I Q: What is the overall position of the NMS in the global value chain(GVC)?
I Q: Do NMS compete with China and other emerging markets or theEU15?
I Q: What is the sectoral composition of output that determines theposition of countries in the GVC?
I A: (Relatively) new data sources
I A: The upstreamness measure - the distance from �nal demand.
I This work is an INPUT to a larger project.
Upstreamness measure (1)
I Antras, Chor, Fally, and Hillberry [2012]: Output of sector is a sumof the �nal and intermediate demand
Yi = Xi+N∑j=1
zijYj
I Substituting recursively:
Yi = Xi+N∑j=1
zijXj+N∑j=1
N∑k=1
zijzjkXj+N∑j=1
N∑k=1
N∑l=1
zijzjkzklXj + · · ·
I Each element corresponds to one production stage. The distancefrom �nal demand is de�ned as a weighted average:
ui = 1· Xi
Yi+2·
N∑j=1
zijXj
Yi+3·
N∑j=1
N∑k=1
zijzjkXj
Yi+4·
N∑j=1
N∑k=1
N∑l=1
zijzjkzklXj
Yi+· · ·
(if only �nal demandui = 1)
Upstreamness measure (2)
I Fally [2011] shows, that: ui = 1+N∑j=1
δijuj
(where δij =zijYj
Yi, and in matrix form: U − ∆U = 1 , whereU to is a
vector N × 1 ui , ∆ is a N × N matrix, where(i , j)-th element is
δij =zijYj
Yi).
I Therefore:U = [I − ∆]−1
1
I Closed economy model (National U): Antras et al. [2012] usenational IO matrices and assume thatδij =
zijYj+EXij−IMij
Yi=
EXij
EXi=
IMij
IMi=
zijYj
Yi.
I Thanks to WIOD we can treat the world as one closed economy(Global U)
World input-output database
I 1435x1435 input-output matrix:
I �nal demand and its sources in each countryI intermediate demand across sectors AND countries for each sector
AND country
I 35 sectors (NACE/CPA)
I 40 countries and RoW (UE, OECD)
National U vs Global U
Figure: Global vs country-level upstreamness
Source: own calculations using WIOD data.
National U vs Global U
ln_res1 ln_res2 ln_res3 ln_res4 ln_res5
High_income 0.0266*** 0.0146***(0.0025) (0.0026)
NMS -0.00481 -0.0223***(0.0027) (0.0029)
EU15 -0.0188*** -0.0309***(0.0025) (0.0026)
China -0.218*** -0.205***(0.0069) (0.0069)
US -0.00804 0.0100(0.0066) (0.0067)
openness 0.0986*** 0.0888*** 0.0987***(0.0056) (0.0059) (0.0062)
constant -0.0366*** -0.00211 -0.0547*** -0.0622*** -0.0329***(0.0022) (0.0018) (0.0024) (0.0028) (0.0026)
N 23056 23056 23056 23056 23056
Global U: ongoing fragmentation and growth ofmanufacturing
Figure: Global and sectoral U. Shares in global output
Source: own calculations using WIOD data.
Manufacturing vs Overall Economies
Figure: Overall U (L) vs U for manufacturing (R)
Source: own calculations using WIOD data.
Imports vs exports
Figure: U weighted by exports and imports
Source: own calculations using WIOD data.
U of imports across sources
Figure: U of imports across sources
Source: own calculations using WIOD data.
Evolution of manufacturing structures
Figure: Evolution of industry shares for NMS
Source: own calculations using WIOD data.
Structure of manufacturing
Table: Structure of NMS manufacturing in 2011
Sector Share in output Share in exports
Leather, Leather and Footwear 0,6% 1,0%
Wood and Products of Wood and Cork 3,0% 2,0%
Textiles and Textile Products 3,0% 4,0%
Manufacturing, Nec; Recycling 3,7% 4,3%
Other Non-Metallic Mineral 4,1% 2,0%
Pulp, Paper, Paper , Printing and Publishing 4,7% 2,6%
Rubber and Plastics 5,5% 5,5%
Chemicals and Chemical Products 6,4% 8,1%
Coke, Re�ned Petroleum and Nuclear Fuel 6,9% 4,4%
Machinery, Nec 7,6% 9,7%
Electrical and Optical Equipment 11,8% 19,0%
Basic Metals and Fabricated Metal 13,2% 11,9%
Transport Equipment 14,0% 18,8%
Food, Beverages and Tobacco 15,4% 6,7%
Source: own calculations using WIOD
The pipeline
I Local vs global U:
I distill EU integration e�ects from world trendsI sectoral composition vs within sector changesI geographical composition vs sectoral compostition.
I U as a determinant of bilateral value added trade �ows
I Upstreamness vs domestic VA in exports - how does the relativeposition in the GVC translate to domestic VA creation?
I Upstreamness vs knowledge spillovers from FDI - do technologyspillovers depend on the distance from �nal demand?