TY - JOUR
T1 - Tracing value added in gross exports of China
T2 - Comparison with the USA, Japan, Korea, and India based on generalized LMDI
AU - Zhao, Yuhuan
AU - Liu, Ya
AU - Qiao, Xiaoyong
AU - Wang, Song
AU - Zhang, Zhonghua
AU - Zhang, Yongfeng
AU - Li, Hao
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2018/6
Y1 - 2018/6
N2 - This study first traces value added in gross exports of China during 2000–2014 to four components, namely domestic value added absorbed abroad (DVA), domestic value added return home (RDV), foreign value added (FVA), and pure double-counted terms (PDC), then compares these four components in China's exports with those in exports of the USA, Japan, Korea, and India. Second, this paper proposes a generalized logarithmic mean Divisia index (GLMDI) method and combines additive and multiplicative decomposition to decompose DVA gaps between China and the other four countries into value added coefficient effect, input-output structure effect, domestic scale effect and foreign scale effect. The aggregate value added coefficient effect is then attributed to sectoral level. Results show that DVA always occupied the largest share in the gross exports of China, which ranged from 74.60–82.84% during 2000–2014. Before 2011, DVA share of China's exports was generally the second smallest among five countries; since 2011, DVA share of China's exports increased, and China had the largest DVA share in 2014 (81.39%). Sectors having a large FVA share in China's exports usually had a large DVA share, such as “Mining” (MIN), “Computers, Electronic and Optical” (CEO), and “Basic Metals” (BAS). Additive and multiplicative decomposition analyses indicate that value added coefficients had a negative and increased effect on DVA gaps between China and the other four countries. Attribution analysis revealed that CEO sector had the largest negative value added coefficient effect in comparison between China and the USA, Japan, and Korea and its effect increased in comparison between China and the other four countries. Policy implications derived are finally discussed.
AB - This study first traces value added in gross exports of China during 2000–2014 to four components, namely domestic value added absorbed abroad (DVA), domestic value added return home (RDV), foreign value added (FVA), and pure double-counted terms (PDC), then compares these four components in China's exports with those in exports of the USA, Japan, Korea, and India. Second, this paper proposes a generalized logarithmic mean Divisia index (GLMDI) method and combines additive and multiplicative decomposition to decompose DVA gaps between China and the other four countries into value added coefficient effect, input-output structure effect, domestic scale effect and foreign scale effect. The aggregate value added coefficient effect is then attributed to sectoral level. Results show that DVA always occupied the largest share in the gross exports of China, which ranged from 74.60–82.84% during 2000–2014. Before 2011, DVA share of China's exports was generally the second smallest among five countries; since 2011, DVA share of China's exports increased, and China had the largest DVA share in 2014 (81.39%). Sectors having a large FVA share in China's exports usually had a large DVA share, such as “Mining” (MIN), “Computers, Electronic and Optical” (CEO), and “Basic Metals” (BAS). Additive and multiplicative decomposition analyses indicate that value added coefficients had a negative and increased effect on DVA gaps between China and the other four countries. Attribution analysis revealed that CEO sector had the largest negative value added coefficient effect in comparison between China and the USA, Japan, and Korea and its effect increased in comparison between China and the other four countries. Policy implications derived are finally discussed.
KW - China
KW - Exports
KW - Generalized LMDI
KW - Value added
UR - http://www.scopus.com/inward/record.url?scp=85039924111&partnerID=8YFLogxK
U2 - 10.1016/j.chieco.2017.12.010
DO - 10.1016/j.chieco.2017.12.010
M3 - Article
AN - SCOPUS:85039924111
SN - 1043-951X
VL - 49
SP - 24
EP - 44
JO - China Economic Review
JF - China Economic Review
ER -