Javascript must be enabled to continue!
International Industrial Transfer, Green Technological Innovation, and Manufacturing Global Value Chain Status
View through CrossRef
Most of the existing literature focuses on how international industrial transfer (IIT) impacts the global value chain (GVC) status of the manufacturing industry from the perspective of narrowly defined FDI but ignores the objective fact that FDI and IIT are not equivalent. Based on theory analysis, we used the TiVA database, the input–output model, and global value chain-related methods to effectively measure the scale of generalized IIT and GVCs of manufacturing sectors in China from 1995 to 2018. On this basis, the relationship between IIT and the GVCs of manufacturing industries and the moderating effect of green technological innovation (GTI) were empirically investigated using industry panel data. The results show that (1) there is a nonlinear inverted U-shaped relationship between IIT and manufacturing GVCs; that is, a larger IIT scale is not better from the perspective of manufacturing GVCs. (2) GTI weakens the inverted U-shaped relationship between IIT and manufacturing GVCs. (3) The heterogeneity analysis found that both medium- and high-technology manufacturing IITs have a nonlinear inverted U-shaped relationship with GVCs, which does not exist in low-technology manufacturing IIT. (4) The benchmark regression results remain robust after replacing the GVC measure, excluding special years and endogeneity treatment and replacing the estimation method robustness test. The research in this paper has implications for optimizing the design of IIT policies to promote the upgrading of manufacturing GVC status.
Title: International Industrial Transfer, Green Technological Innovation, and Manufacturing Global Value Chain Status
Description:
Most of the existing literature focuses on how international industrial transfer (IIT) impacts the global value chain (GVC) status of the manufacturing industry from the perspective of narrowly defined FDI but ignores the objective fact that FDI and IIT are not equivalent.
Based on theory analysis, we used the TiVA database, the input–output model, and global value chain-related methods to effectively measure the scale of generalized IIT and GVCs of manufacturing sectors in China from 1995 to 2018.
On this basis, the relationship between IIT and the GVCs of manufacturing industries and the moderating effect of green technological innovation (GTI) were empirically investigated using industry panel data.
The results show that (1) there is a nonlinear inverted U-shaped relationship between IIT and manufacturing GVCs; that is, a larger IIT scale is not better from the perspective of manufacturing GVCs.
(2) GTI weakens the inverted U-shaped relationship between IIT and manufacturing GVCs.
(3) The heterogeneity analysis found that both medium- and high-technology manufacturing IITs have a nonlinear inverted U-shaped relationship with GVCs, which does not exist in low-technology manufacturing IIT.
(4) The benchmark regression results remain robust after replacing the GVC measure, excluding special years and endogeneity treatment and replacing the estimation method robustness test.
The research in this paper has implications for optimizing the design of IIT policies to promote the upgrading of manufacturing GVC status.
Related Results
Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing
Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing
PurposeThe manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial...
The Influence Of Green Innovation, Green Knowledge Management And Green Transformational Leadership Mediated By Risk On Green Corporate Performance
The Influence Of Green Innovation, Green Knowledge Management And Green Transformational Leadership Mediated By Risk On Green Corporate Performance
In the modern era and globalization that increasingly emphasizes the importance of sustainability, companies are required to adopt environmentally friendly business strategies to i...
Digital Green Innovation Pathway: Artificial Intelligence and Urban Green Innovation Levels - A Case Study of the Yangtze River Economic Belt in China.
Digital Green Innovation Pathway: Artificial Intelligence and Urban Green Innovation Levels - A Case Study of the Yangtze River Economic Belt in China.
Abstract
With the iterative evolution of artificial intelligence technology, its characteristics such as intelligence and digitization have gradually become one of the impo...
Can Enterprise Digitalization Promote Green Technological Innovation? Evidence from China’s Manufacturing Sector
Can Enterprise Digitalization Promote Green Technological Innovation? Evidence from China’s Manufacturing Sector
China’s manufacturing industry is characterized by high energy consumption and high pollution, which urgently requires resolution through green technological innovation. This study...
Supply chain efficiency via knowledge management and blockchain adoption readiness
Supply chain efficiency via knowledge management and blockchain adoption readiness
Purpose
This study examines how manufacturing supply chain performance and firm financial performance are affected by knowledge management and blockchain technolo...
How artificial intelligence-based supply chain analytics enable supply chain agility and innovation? An intellectual capital perspective
How artificial intelligence-based supply chain analytics enable supply chain agility and innovation? An intellectual capital perspective
Purpose
This study aims to empirically examine the impact of intellectual capital on the adoption of artificial intelligence-based supply chain analytics in manufacturing companies...
Technological innovation in libraries
Technological innovation in libraries
PurposeThe purpose of this study was to identify technological innovation in libraries and further examine the knowledge source and their effects during the technology life cycle (...
Relational Global Value Chain Carbon Emissions and Their Network Structure Patterns: Evidence from China
Relational Global Value Chain Carbon Emissions and Their Network Structure Patterns: Evidence from China
The structure of the network among firms participating in global value chains is an important factor in understanding the changes in China’s carbon emissions. This paper focuses on...

