Hypothetical extractions from a global perspective

Figures & data

FIGURE 1. Change in GDP and internal and external effects in selected countries when the Chinese motor vehicle industry is extracted.

Table 1. Change in GDP after extraction of the motor vehicle industry and the split into internal and external effect (results by country, in million USD).

	China			Germany			the US
Country	Internal	External	ΔGDP	Internal	External	ΔGDP	Internal	External	ΔGDP
AUS	349	−1673	−1323	135	1242	1376	155	1626	1780
AUT	3468	5399	8867	1852	−1048	803	1578	1926	3504
BEL	1851	3883	5734	3327	807	4133	492	1042	1534
BGR	50	315	365	107	120	227	20	122	143
BRA	897	1016	1914	925	1631	2556	1222	1342	2564
CAN	1730	4231	5961	2584	3143	5728	16604	4342	20946
CHE	242	2784	3025	231	−951	−720	197	823	1020
CHN	−229991	−378738	−608728	5587	14140	19727	8471	16587	25058
CYP	0	45	46	2	12	14	0	18	18
CZE	2627	4217	6844	4769	1878	6647	1034	1390	2423
DEU	101629	88392	190021	−147494	−98844	−246338	34192	29091	63283
DNK	95	1165	1260	207	−7	200	48	383	432
ESP	1866	5196	7063	7163	8553	15715	1604	2846	4450
EST	22	94	116	81	34	115	13	33	46
FIN	218	939	1157	427	200	627	90	265	356
FRA	3442	11949	15392	6725	9412	16138	1397	4006	5403
GBR	16844	26068	42912	5256	6347	11603	3668	5356	9023
GRC	1	307	308	1	75	77	1	122	123
HRV	15	225	240	39	5	44	8	84	92
HUN	3166	2422	5588	3103	577	3679	1393	885	2277
IDN	1115	964	2079	783	908	1691	731	1095	1826
IND	1008	2888	3896	1239	2631	3870	811	1586	2396
IRL	79	801	880	171	145	316	36	27	63
ITA	4809	16166	20975	4806	8034	12839	2773	6938	9712
JPN	50274	43820	94094	19063	18155	37218	42837	37442	80279
KOR	15964	15312	31277	7916	9666	17581	14166	15215	29381
LTU	20	185	204	50	7	57	9	67	76
LUX	9	417	426	33	−130	−97	5	157	162
LVA	9	88	98	33	14	47	7	33	39
MEX	6161	6134	12295	5132	4481	9614	27903	14649	42553
MLT	3	34	37	4	10	14	1	12	13
NLD	706	6349	7055	1541	−2326	−785	265	1836	2101
NOR	200	2070	2270	222	−274	−52	51	662	713
POL	1778	7175	8953	2724	965	3689	761	2545	3306
PRT	1632	1369	3001	1229	779	2008	211	303	515
ROU	590	1877	2467	719	765	1484	234	687	921
RUS	565	4594	5159	273	270	544	115	2189	2304
SVK	4652	3948	8600	2086	1136	3222	719	800	1519
SVN	181	568	749	558	77	635	86	202	288
SWE	2870	4302	7172	3563	2841	6404	1132	1427	2559
TUR	881	3383	4264	3010	3164	6174	547	1204	1751
TWN	1005	−559	447	581	1079	1660	1396	1121	2517
USA	25925	49084	75009	8499	16168	24668	−145060	−206630	−351689
ROW	13408	8428	21836	7471	17376	24847	6980	15244	22225

Notes: The column labeled ‘Internal’ shows the internal effect in each country, which refers to the change in value added in the motor vehicle industry in that country. The column labeled ‘External’ refers to the change in value added in the other industries. The column labeled ‘ΔGDP’ refers to the change in GDP of a country.

FIGURE 2. Change in GDP and internal and external effects in selected countries when the German motor vehicle industry is extracted.

FIGURE 3. Change in GDP and internal and external effects in selected countries when the US motor vehicle industry is extracted.

Table 2. Comparison between GEM and HEM for the extraction of the motor vehicle industry.

	GEM	HEM	$\mathrm{\Delta }$	%$\mathrm{\Delta }$-all	%$\mathrm{\Delta }$-ext
Extraction in	(1)	(2)	(3)	(4)	(5)
China	−608.7	−623.6	14.9	−2.4	−3.9
Germany	−246.3	−256.8	10.5	−4.3	−10.6
USA	−351.7	−368.0	16.3	−4.6	−7.9

Notes: Columns (1), (2) and (3) are in billion USD, columns (4) and (5) are percentages. ‘$\mathrm{\Delta }$’ gives the difference between GEM and HEM, (3) = (1) – (2). ‘%$\mathrm{\Delta }$-all’ gives the difference as percentage of all effects in GEM, (4) = 100 × (3)/(1). ‘%$\mathrm{\Delta }$-ext’ gives the difference as a percentage of the external effects reported in Table 1. Each figure in this table refers to the change in the GDP of the country from which its motor vehicle industry is extracted. For GEM has the sum of the changes in the GDP in other countries the same size but the opposite sign. For HEM, this holds for the sum of all imports.