在以增加值为贸易核算标准的全球价值链背景下,本文综合考虑了产业的国际分工和国内关联,利用出口增加值替代传统的出口总额对产业出口比较优势进行了更为准确的衡量和分析。结果显示,中国的竞争力优势部门仍然集中在纺织服装等劳动密集型部门,一些技术密集型产品的比较优势虽然有所上升,但上升力度却被传统的指数高估。进一步地,考虑到中国加工贸易比重高这一特色以及加工出口和一般出口之间的生产异质性,本文利用区分中国加工贸易的国际投入产出表测算发现,与不区分加工贸易的结果相比,中国劳动密集型产品的出口优势更加明显,技术密集型产品的出口优势则进一步减弱。
The concept of revealed comparative advantage (RCA), proposed by Balassa (1965), has proven useful in many research and policy applications. In standard applications, it is defined as the share of a sector in a country's total gross exports relative to the world average of the same sector in world exports. However, with the increasing international fragmentation of production and the evolution of global value chain revolution, the problem of double counting of certain value-added components in the official trade statistics suggests the traditional computation of RCA could be misleading since it ignores both domestic and international production sharing.
In order to remove this distortion, some authors have proposed using domestic value added in exports to substitute for gross exports as domestic value added in a country's exports describes the characteristics of a country's production.In this paper, this new substitution is followed,and multi-regional input-output model which is rooted in Johnson and Noguera (2012) is applied to analyze Chinese competitiveness of export and give the contrast analysis with other countries using the World Input-Output Database. The results show that China's comparative advantage sectors are still concentrated in primary products sectors and labor-intensive sectors such as agriculture and textiles during the period of 1995-2011. Although the competitiveness of some technology-intensive sectors is increasing over the years, the traditional RCA overestimates the growth rate.
Furthermore,it is pointed out that previous literatures ignore the prevalence of processing trade in China when computing the new RCA of Chinese sectors. In this study, the new RCA of Chinese industries is re-estimated using OECD world input-output tables which distinguish China's processing trade, by taking into account the trade heterogeneity in production technology. The results reveal that processing trade is quite a significant contributor to the RCA of China's technology-intensive manufactures while traditional labor-intensive manufacturing goods depended more on normal trade rather than processing trade.
[1] 唐宜红,张鹏杨.反倾销对我国出口的动态影响研究-基于双差分法的实证检验[J].世界经济研究,2016,(11):33-46.
[2] Balassa B. Trade liberalization and revealed comparative advantage[J]. The Manchester School, 1965,33(2):99-123.
[3] 李钢,刘吉超.入世十年中国产业国际竞争力的实证分析[J].财贸经济,2012,(8):88-96.
[4] 金碚,李鹏飞,廖建辉.中国产业国际竞争力现状及演变趋势-基于出口商品的分析[J].中国工业经济, 2013,(5):5-17.
[5] Dean J M, Fung K C, Wang Zhi. Measuring vertical specialization:The case of China[J]. Review of International Economics, 2011, 19(4):609-625.
[6] Chen Xikang, Cheng L K, Fung K C, et al. Domestic value added and employment generated by Chinese exports:A quantitative estimation[J]. China Economic Review, 2012, 23(4):850-864.
[7] Johnson R C, Noguera G. Accounting for intermediates:production sharing and trade in value added[J]. Journal of International Economics, 2012, 86(2):224-236.
[8] Koopman R, Wang Zhi, Wei Shangjin. Estimating domestic content in exports when processing trade is pervasive[J].Journal of International Economics, 2012, 99(1):178-189.
[9] 张杰,陈志远,刘元春.中国出口国内附加值的测算与变化机制[J].经济研究,2013, 48(10):124-137.
[10] Timmer M P, Los B, Stehrer R, et al. Fragmentation, incomes and jobs:An analysis of European competitiveness[J]. Economic Policy, 2013,11(4):613-661.
[11] Koopman R, Wang Zhi, Wei Shangjin. Tracing value-added and double counting in gross exports[J]. American Economic Review, 2014, 104(2):1-37.
[12] 戴翔.中国制造业国际竞争力-基于贸易附加值的测算[J].中国工业经济, 2015,(1):78-88.
[13] 郭晶,刘菲菲.中国服务业国际竞争力的重新估算-基于贸易增加值视角的研究[J].世界经济研究,2015,(2):52-60.
[14] 张禹,严兵.中国产业国际竞争力评估-基于比较优势与全球价值链的测算[J].国际贸易问题,2016,(10):38-49.
[15] Yang Cuihong, Dietzenbacher E, Pei Jiansuo, et al. Processing trade biases the measurement of vertical specialization in China[J]. Economic Systems Research, 2015, 27(1):60-76.
[16] 李根,刘家国,赵金楼.基于投入产出非线性优化的制造业完全能耗强度情景分析[J]. 中国管理科学, 2016, 24(3):31-40.
[17] 赵忠秀,裴建锁,闫云凤. 贸易增长、国际生产分割与CO2排放核算:产业VS.产品[J]. 中国管理科学, 2014, 22(12):11-17.
[18] 陈锡康, 杨翠红. 投入产出技术[M]. 北京:科学出版社, 2011.
[19] 徐大举,尹金生,李爱芹,等. 直接消耗系数矩阵特征值的经济意义研究[J]. 中国管理科学, 2010, 18(1):33-38.
[20] Dietzenbacher E, Los B, Stehrer R, et al. The construction of world input-output tables in the WIOD project[J]. Economic Systems Research, 2013,(25):71-98.
[21] 刘遵义,陈锡康,杨翠红,等.非竞争型投入占用产出模型及其应用-中美贸易顺差透视[J].中国社会科学, 2007,(5):91-103.
[22] Chen Q R, Zhu K F, Yang C H, et al. Distinguishing the processing trade in the world input-output table:A case of China[C]//Proceedings of The 22th International Input-Ouput Conference, 2014.