wiiw 1 joe francois, olga pindyuk, johannes pöschl, robert stehrer wiod conference, 26. may 2010...
TRANSCRIPT
wiiw1
Joe Francois, Olga Pindyuk, Johannes Pöschl, Robert Stehrer
WIOD Conference , 26. May 2010
WIOD Data on Trade in Goods:Data Issues and Patterns of Trade in Intermediates
wiiw2
Data progress
Starting point:
trade data for 39 WIOD countries at HS 6-digit level
Processing data – correspondences:
- effort to adapt HS6-BEC correspondence
- HS6 data matched with...
NACE 3-digit industry correspondence
use categories
WIOD codes
- problems with correspondences and product code orphans have been solved
wiiw3
Data reporting issue
Some issues of coverage exist (CZK, DNK – 1997) but we
are in contact with the UN and the data will be available soon
Missing trade
- compare sum of HS 6-digit codes to total value reported
2007: 14%
wiiw4
Missing trade 1/2
Not a minor problem: examples RUS, CAN, CHN- >40% of total export/imports for several years
- not constant over time!
Sum over all HS6 codes in percent of total trade reported
wiiw5
Missing trade 2/2
Phenomenon not related to certain reporters but an
issue for a lot of countries with missing imports > 15%
(AUS, DEU, IND, JPN, KOR, MEX, NLD, …)
Problem exists at HS 6-digit level as well as the
SITC 5-digit level (for which it is mostly worse)
wiiw6
How to find and adjust for missing trade?
Proportional adjustment over all products not
applicable since missing trade is most certainly related
to specific products
If a reporting country does not want the partner
breakdown to be disclosed it can report trade with a
confidential partner “Special Categories“
Countries report both at the HS 6 and 2-digit level- data reporting should be better at the aggregated HS 2-digit
level (less confidentiality issues)
wiiw7
Two step approach
1. Step:i. Use trade with confidential partner “Special Categories“ for
each country at HS 6-digit level
ii. Add it to the trade with partner countries according to the difference between the sum of trade at the HS6 level and total trade reported
2. Step:- Use HS 2-digit data to adjust HS 6-digit reported trade flows
AUT
RUS
DEU
Spec.Cat.
wiiw8
Open Issues
Transport costs included in imports lead to relatively higher
share of countries further away- estimation gravity equations to reduce distortion in the trade data
Re-Imports and Re-Exports (especially China‘s special
administrative regions)
Data availability Taiwan- Comext Data for EU15 available (EU27 since 1999), OECD
- Gravity Equations
Further comments / suggestions?
wiiw9
Classification by end use categories
Data at HS6 level
- Correspondence to WIOD-BEC
- Correspondence to NACE 3-digit (CPA?)
What is WIOD BEC
- HS6-BEC (UN) correspondence reclassified at HS6 level
- Split into four categories: INTC, CONS, GFCF and MIX
- Should meet purpose of bringing together trade data and SUTs
Aggregation to products and end-use by country
wiiw10
‘Stylized’ facts
Patterns of trade by end-use category
- Imports and exports
Trends
Specialisation structures
Two-way trade in intermediates
wiiw11
Structure of imports by end use category, 2006
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
IDN
CH
NIN
DK
OR
TU
RB
RA
ES
TM
LT
RO
MS
VN
PO
LM
EX
BG
RP
RT
CZ
EL
UX
SV
KJP
NS
WE
FIN
BE
LIT
AA
UT
ES
PD
EU
HU
NF
RA
CA
NG
BR
NL
DU
SA
LV
AL
TU
CY
PD
NK
GR
CIR
LA
US
RU
S
INTC CONS GFCF MIXED
wiiw12
Structure of exports by end use category, 2006
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
RU
SID
NA
US
LU
XM
LT
BG
RL
VA
BR
AC
AN
ES
TG
RC
LT
UF
INR
OM
PO
LIN
DS
WE
US
AP
RT
BE
LC
ZE
SV
KJP
NA
UT
DE
UF
RA
ITA
NL
DS
VN
ES
PT
UR
KO
RG
BR
IRL
HU
NM
EX
DN
KC
HN
CY
P
INTC CONS GFCF MIXED
wiiw13
Correlation of export and import shares
for intermediates trade, 2006
AUS
AUTBEL
BGR
BRACAN
CHN
CYP
CZEDEU
DNK
ESP
EST
FIN
FRA
GBR
GRC
HUN
IDN
IND
IRL
ITAJPN
KOR
LTU
LUX
LVA
MEX
MLT
NLD
POLPRT
ROM
RUS
SVK
SVN
SWE
TUR
USA
.4
.5
.6
.7
.8
.9
Exp
ort
sh
are
.3 .4 .5 .6 .7Import share
wiiw14
Revealed specialisation in intermediates trade, 2006
AUS
AUT
BGR
BRA
CAN
CHN
CYP
CZEDEU
DNKESPEST
FIN
FRAGBR
GRC
HUN
IDN
IND
IRLITA JPN
KOR
LTU
LVA
MEX
MLT
NLDPOLPRTROM
RUS
SVK
SVN
SWE
TUR
USA
-10
12
32
006
RC
A
-1 0 1 2 31996 RCA
wiiw15
Changes in the shares of intermediates trade
0.400
0.420
0.440
0.460
0.480
0.500
0.520
0.540
0.560
0.580
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
DEU EXP DEU IMP JPN EXP JPN IMP USA EXP USA IMP
wiiw16
Changes in the share of intermediates trade, in percentage point differences, 1996-2006
-30.0%
-20.0%
-10.0%
0.0%
10.0%
20.0%
30.0%
LT
U
ME
X
HU
N
PO
L
RO
M
SV
K
ITA
IRL
IND
DN
K
FIN
GR
C
LV
A
CA
N
IDN
KO
R
AU
S
CZ
E
NL
D
ML
T
PR
T
JP
N
DE
U
FR
A
TU
R
SV
N
AU
T
GB
R
CH
N
SW
CY
P
US
A
ES
T
BR
A
Exports Imports
• Changes driven by between or within shifts?• Cross-country differences driven by within or between industry specialisation?
wiiw17
Share of intermediate imports by industry, 2006
0.0
0.2
0.4
0.6
0.8
1.0
1.2
W1
8
W3
0
W1
9
W3
6
W1
5
W3
3
W2
9
W3
2
W3
4
W3
5
W2
2
W3
1
W1
7
W2
4
W2
8
W2
1
W2
6
W2
5
W2
3
W3
7
W2
0
W2
7
DEU JPN USA
wiiw18
Share of intermediate exports by industry, 2006
0.0
0.2
0.4
0.6
0.8
1.0
1.2
W3
0
W1
8
W1
5
W3
6
W1
9
W2
9
W3
3
W3
2
W3
4
W3
5
W2
2
W3
1
W2
4
W1
7
W2
1
W2
8
W2
6
W2
3
W3
7
W2
5
W2
0
W2
7
DEU JPN USA
wiiw19
Structure by industry
Shares are highly correlated across countries in
general
However, significant differences when looking at
individual industries
Rather persistent over time
- Though less so for some industries
wiiw20
Share of two-way trade in intermediates
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
CY
PG
BR
DE
UE
SP
FR
AN
LD
BE
LU
SA
ME
XD
NK
ES
TA
UT
CZ
EP
RT
PO
LS
WH
UN
SV
NIT
AC
AN
GR
CL
VA
KO
RT
UR
JPN
LT
US
VK
IRL
CH
NB
RA
FIN
IDN
IND
RO
BG
RA
US
LU
XR
US
ML
T
CGLI1995 CGLI2006
wiiw21
Share of two-way trade in intermediates, 2006
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
CONS INTC GFCF
CGLI1995 CGLI2006
wiiw22
Share of two-way trade in intermediates by industry, 2006
0.0
0.2
0.4
0.6
0.8
1.0
1.2
W1
5
W1
7
W1
8
W1
9
W2
0
W2
1
W2
2
W2
3
W2
4
W2
5
W2
6
W2
7
W2
8
W2
9
W3
0
W3
1
W3
2
W3
3
W3
4
W3
5
W3
6
W3
7
1995 2005
Note: Mean over countries
wiiw23
Comparisons to SIOT data
Eurostat symmetric IO tables with import tables
Note: pxp tables
Shares of imported intermediates in total imports
Comparison to trade data
- Strong positive correlation
- Hides significant differences in some cases
wiiw24
Comparisons to SIOT data
AUTBELDEU
DNK
ESP
EST
FIN
FRA
GRC
HUN
IRL
ITA
LTU
LVANLD
POL
PRT
ROM
SVK
SVN
SWE
0.0
0.2
0.4
0.6
0.8
1.0
Shar
es fr
om IO
dat
a
0 .2 .4 .6 .8 1Shares from trade data
NACE 34 - Motor vehicles, trailers and semi-trailers
2000
AUTDEU
DNK
ESP
EST
FIN
FRA
GRC
HUN
ITANLD
PRT
ROM
SVN
SWE
0.0
0.2
0.4
0.6
0.8
1.0
Shar
es fr
om IO
dat
a
0 .2 .4 .6 .8 1Shares from trade data
2005
wiiw25
Comparisons to SIOT data
NACE 35 - Other transport equipment 2000 2005
AUT
BEL
DEU
DNK
ESP
EST
FIN
FRA
GRC
HUNIRL
ITA
LTU
LVA
NLD
POL
PRT
ROMSVKSVN
SWE
0.0
0.2
0.4
0.6
0.8
1.0
Shar
es fr
om IO
dat
a
0 .2 .4 .6 .8 1Shares from trade data
AUT
DEUDNK
ESP
EST FIN
FRA
GRC
HUNITA
NLDPRT
ROMSVN
SWE
0.0
0.2
0.4
0.6
0.8
1.0
Shar
es fr
om IO
dat
a
0 .2 .4 .6 .8 1Shares from trade data
Note: Mixed category not yet considered
wiiw26
Comparisons to SIOT data
Differences
- More industry specific than country specific
- Not always consistent over time
wiiw27
Summary
Data issues and next steps
(Re-)classification of end-use categories
Stylized facts on trade in intermediates
- Intermediates: Broad category
- More distinct patterns for more detailed product groups (e.g. parts and components) and industry level
Consistency with information from import tables
- Country/industry specific deviations are hard to assess
- Compare with import use tables (however hardly accessible)