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Relational Global Value Chain Carbon Emissions and Their Network Structure Patterns: Evidence from China

Author

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  • Youfu Yue

    (School of Economics and Trade, Hunan University, Changsha 410079, China)

  • Junjun Hou

    (School of Economics and Trade, Hunan University, Changsha 410079, China
    School of Economics and Trade, Hunan University of Technology and Business, Changsha 410205, China)

  • Nuoya Yue

    (School of Economics and Trade, Hunan University, Changsha 410079, China)

  • Haofan Wang

    (School of Economics and Trade, Hunan University, Changsha 410079, China)

Abstract

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 the interdependence between firms and the interconnected networks to which they belong, utilizing an inter-country input–output model that distinguishes between domestic-owned enterprises and foreign-invested enterprises for measurement purposes. By distinguishing between domestic and cross-border global value chains, we illustrate the carbon emission effects of relational global value chains and their network structures, thereby contributing a Chinese perspective on relational global value chains and carbon emission reduction. This study reveals that (1) relational global value chain activities have emerged as a significant contributor to China’s carbon emissions, constituting approximately 26.8%, with its growth mainly stemming from the expansion of domestic global value chain emissions. At the sectoral level, relational global value chain activities lead to higher carbon emissions from the service sector than from the manufacturing sector. (2) Domestic global value chain relationship activities are more likely to have favorable economic and environmental trade-offs, as evidenced by the lower carbon intensity of the domestic global value chain than the cross-border global value chain. The circle-structured relationship activities between domestic-owned enterprises and foreign-invested enterprises are associated with more sustainable carbon emission growth and greater potential for emission reduction than the chain structure. (3) Structural decomposition analysis indicates that the impact of cross-border global value chain emissions on China’s carbon emission growth has been decreasing since 2012, while the influence of the domestic global value chain is on the rise and surpasses that of the cross-border global value chain by the end of the period.

Suggested Citation

  • Youfu Yue & Junjun Hou & Nuoya Yue & Haofan Wang, 2024. "Relational Global Value Chain Carbon Emissions and Their Network Structure Patterns: Evidence from China," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6940-:d:1455460
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    1. Pol Antràs & Davin Chor, 2013. "Organizing the Global Value Chain," Econometrica, Econometric Society, vol. 81(6), pages 2127-2204, November.
    2. Laura Alfaro & Pol Antràs & Davin Chor & Paola Conconi, 2019. "Internalizing Global Value Chains: A Firm-Level Analysis," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 508-559.
    3. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    4. Baldwin, Richard & Venables, Anthony J., 2013. "Spiders and snakes: Offshoring and agglomeration in the global economy," Journal of International Economics, Elsevier, vol. 90(2), pages 245-254.
    5. Tsekeris, Theodore, 2017. "Global value chains: Building blocks and network dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 488(C), pages 187-204.
    6. Alonso Alfaro-Ureña & Isabela Manelici & Jose P Vasquez, 2022. "The Effects of Joining Multinational Supply Chains: New Evidence from Firm-to-Firm Linkages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1495-1552.
    7. Jiang, Xiaochen & Shen, Jim Huangnan & Lee, Chien-Chiang & Chen, Chong, 2021. "Supply-side structural reform and dynamic capital structure adjustment: Evidence from Chinese-listed firms," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    8. Yan, Yunfeng & Li, Xiyuan & Wang, Ran & Pan, An, 2023. "Global value chain and export-embodied carbon emissions: New evidence from foreign-invested enterprises," Economic Modelling, Elsevier, vol. 127(C).
    9. Zhu, Kunfu & Guo, Xuefan & Zhang, Zengkai, 2022. "Reevaluation of the carbon emissions embodied in global value chains based on an inter-country input-output model with multinational enterprises," Applied Energy, Elsevier, vol. 307(C).
    10. Xing, Yuqing & Huang, Shaopeng, 2021. "Value captured by China in the smartphone GVC– A tale of three smartphone handsets," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 256-266.
    11. Mariarosaria Agostino & Emanuele Brancati & Anna Giunta & Domenico Scalera & Francesco Trivieri, 2020. "Firms' efficiency and global value chains: An empirical investigation on Italian industry," The World Economy, Wiley Blackwell, vol. 43(4), pages 1000-1033, April.
    12. Ferrantino, Michael J. & Taglioni, Daria, 2014. "Global Value Chains in the Current Trade Slowdown," World Bank - Economic Premise, The World Bank, issue 138, pages 1-6, March.
    13. Meng, Bo & Peters, Glen P. & Wang, Zhi & Li, Meng, 2018. "Tracing CO2 emissions in global value chains," Energy Economics, Elsevier, vol. 73(C), pages 24-42.
    14. Su, Bin & Ang, B.W., 2023. "Structural decomposition analysis applied to energy and emissions: Frameworks for monthly data," Energy Economics, Elsevier, vol. 126(C).
    15. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    16. Cole, Matthew A. & Elliott, Robert J.R. & Strobl, Eric, 2008. "The environmental performance of firms: The role of foreign ownership, training, and experience," Ecological Economics, Elsevier, vol. 65(3), pages 538-546, April.
    17. Fang, Guochang & Huang, Meng & Zhang, Wenbin & Tian, Lixin, 2024. "Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    18. Liena Kano, 2018. "Global value chain governance: A relational perspective," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(6), pages 684-705, August.
    19. Sébastien Miroudot & Ming Ye, 2020. "Multinational production in value-added terms," Economic Systems Research, Taylor & Francis Journals, vol. 32(3), pages 395-412, July.
    20. Yuning Gao & Bo Meng & Gabriele Suder & Jiabai Ye & Yongping Sun, . "Making global value chains visible: Transnational corporations versus domestically owned firms," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
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    1. Jiangbai Liu & Yadong Ning & Shukuan Bai & Boya Zhang, 2025. "The Characteristics of Carbon Emissions Embodied in China’s International Economic Circulation Based on Global Value Chains," Sustainability, MDPI, vol. 17(7), pages 1-25, March.

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