制造业全球价值链网络的拓扑特征及影响因素——基于WWZ方法和社会网络的研究

›› 2018, Vol. 30 ›› Issue (9): 49-60.

制造业全球价值链网络的拓扑特征及影响因素——基于WWZ方法和社会网络的研究

孙天阳^1,2, 肖皓¹, 孟渤³, 许和连¹

1. 湖南大学经济与贸易学院, 长沙 410079;
2. 清华大学经济管理学院, 北京 100084;
3. 日本亚洲经济研究所, 千叶 2618545

收稿日期:2016-08-10 出版日期:2018-09-28 发布日期:2018-09-29
通讯作者: 肖皓(通讯作者),湖南大学经济与贸易学院副教授,博士生导师,博士。
作者简介:孙天阳,湖南大学经济与贸易学院,博士,清华大学经济管理学院博士后;孟渤,日本亚洲经济研究所高级研究员,博士;许和连,湖南大学经济与贸易学院教授,博士生导师,博士。
基金资助:
国家自然科学基金面上项目（71673081）；国家社会科学基金重大项目（16ZDA038）；湖湘青年英才；湖南省自然科学基金青年项目（2018JJ3082）；世贸组织，世行，经合组织，中国发展研究基金会，全球价值链研究院，亚洲经济研究所联合研究项目（2017_1_50_002）。

Topology and Evolutionary Pattern of Manufacturing GVC Network and Its Influencing Factors: A Study Based on WWZ Method and Social Networks

Sun Tianyang^1,2, Xiao Hao¹, Meng Bo³, Xu Helian¹

1. School of Economics and Trade, Hunan University, Changsha 410079;
2. School of Economics and Management, Tsinghua University, Beijing 100084;
3. Institute of Developing Economics, JETRO, Chiba 2618545

Received:2016-08-10 Online:2018-09-28 Published:2018-09-29

摘要/Abstract

摘要：

基于Wang等（简称WWZ）提出的双边出口增加值核算方法，结合社会网络分析技术，论文将2000-2015年制造业出口贸易网络重新解构为被国外吸收的国内增加值、返回并被本国吸收的国内增加值、国外增加值、纯重复计算部分4种网络，分析网络可加性、网络间相关性、网络拓扑结构和社团演化等特征。研究结果表明：①样本考察期内，中国逐步升级为制造业全球价值链网络的核心，但在返回并被本国吸收的国内增加值（RDV）网络中仍与美国、德国等发达国家有较大差距。②4种网络的"互惠性"、"异配性"较为显著，基本形成亚太、欧洲两个结构稳定的社团。③4种网络呈现出不同的演化特征，如国外增加值（FVA）网络结构较为离散、纯重复计算部分（PDC）网络有较为明显的"链式"结构。④QAP分析显示，传统引力模型的影响因素在一定程度仍可以对制造业GVC网络进行解释，但其解释力度在逐渐减弱。

关键词: 全球价值链, 社会网络分析, 国际投入产出模型, 制造业

Abstract:

Based on value-added decomposition in bilateral exports proposed by WWZ (2013), and using complex network analysis, this paper demonstrates international trade network in manufacturing by DVA, RDV, FVA and PDC networks respectively and analyzes the additivity, correlation, topology, community evolution and other features from 2000 to 2015. Results show that:①During the sample investigated period, China has gradually upgraded to the core of manufacturing GVC network, but still has a big gap with America, Ger-many etc. ②The reciprocity and assortativity are significant in the DVA, RDV, FVA and PDC networks and the whole network can be divided into Asia-Pacific community and Europe community, which have stable structure. ③The evolutionary characteristic of DVA, RDV, FVA, and PDC networks vary, for instance, FVA network is more discrete and PDC network presents obvious "chain" structure. ④QAP analysis shows that factors of traditional gravity model is still able to explain equipment manufacturing GVC network to some ex-tent, but its explanatory power is gradually weakening.

Key words: global value chain, social networks analysis, inter-countries input-output model, equipment manufacturing

孙天阳, 肖皓, 孟渤, 许和连. 制造业全球价值链网络的拓扑特征及影响因素——基于WWZ方法和社会网络的研究[J]. , 2018, 30(9): 49-60.

Sun Tianyang, Xiao Hao, Meng Bo, Xu Helian. Topology and Evolutionary Pattern of Manufacturing GVC Network and Its Influencing Factors: A Study Based on WWZ Method and Social Networks[J]. , 2018, 30(9): 49-60.

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