Analysis of the Spatial Spillover Effects of Total Factor Productivity in Global Value Chain Participation ―Empirical testing based on data from 30 provinces and regions in China

The participation of global value chain can not only promote regional economic growth but also contribute to the improvement of total factor productivity and spatial spillover of a country. Using static and dynamic spatial Durbin panel models and data from China Industrial Enterprise Database, China Customs database, interregional input-output table of 30 Chinese provinces, and China Science and Technology Statistical Yearbook, this paper measures the spatial spillover effects of global value chain participation of 30 Chinese provinces and regions. The empirical results show that GVC produces both intra-regional and inter-regional spillovers to total factor productivity. Product embedding has significant spatial spillovers to regional productivity, while function embedding presents localization spillover characteristics due to the relative closure of service chain, complexity and specificity of knowledge composition, and spatial spillovers are not obvious.

全球价值链的参与不仅可以促进区域经济增长而且有利于一国的全要素生产率提升与空间溢出。本文采用静态和动态空间杜宾面板模型，利用中国工业企业数据库、中国海关数据库、中国30个省份区域间投入产出表和中国科技统计年鉴数据，测度了中国30个省区的全球价值链参与所产生的全要素生产率空间溢出效应。实证结果显示：GVC对全要素生产率既产生地区内溢出，也产生地区间溢出，产品嵌入对地区生产率存在显著的空间溢出，而功能嵌入由于服务链条的相对封闭性、知识构成的复杂性和专用性呈现出本地化溢出特征，空间溢出并不明显。