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Sustainability in the global value chain-a scientometric analysis.

Nimmy Rose Jacob¹, Shalini Aggarwal², Neha Saini³

¹Research Scholar, Department of Management Studies, Faculty of Management Studies, Netaji Subash University of Technology, Dwarka Sec. 3, New Delhi, India. Nimmy.jacob.phd21@nsut.ac.in.

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|August 29, 2023

Summary

Global value chain (GVC) sustainability research is explored using scientometric analysis of 753 articles. Key research clusters and future directions are identified to advance sustainable GVC practices.

Keywords:

Gendered global production network Global value chain Global value chain participation Market liberalisation Scientometrics Sustainability Trade pollution nexus Value chain dynamics

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Area of Science:

Sustainability Science
Economics
Business Management

Background:

Global value chains (GVCs) are increasingly vital for enhancing sustainability.
Competition and cooperation within GVCs attract significant academic and business interest.
GVC-related sustainability research remains a niche area needing further exploration.

Purpose of the Study:

To conduct a scientometric analysis of GVC sustainability research.
To identify key research performance constituents, themes, and intellectual structures.
To develop a model of current GVC sustainability knowledge and suggest future research avenues.

Main Methods:

Scientometric analysis of 753 articles published in Web of Science journals (2001-2021).
Examination of research performance metrics (authors, nations, institutions, journals).
Identification of thematic clusters and intellectual structure.

Main Results:

Identified nine core clusters in GVC sustainability research, including participation, gendered production networks, and labor dynamics.
Highlighted ten thematic clusters for future research, such as market liberalization, trade-pollution nexus, and governance.
Revealed key authors, institutions, and journals contributing to the field.

Conclusions:

The study provides a comprehensive overview of the GVC sustainability research landscape.
A model is developed to synthesize existing knowledge.
Specific recommendations for future research are provided to bridge knowledge gaps and foster sustainable GVC development.