|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|148405||2017||21 صفحه PDF||سفارش دهید||14723 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : China Economic Review, Available online 29 December 2017
This study first traces value added in gross exports of China during 2000â2014 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 74.60â82.84% during 2000â2014. 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 âMiningâ (MIN), âComputers, Electronic and Opticalâ (CEO), and âBasic Metalsâ (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.