Carbon neutrality and synergy between industrial and innovation chains: green finance perspective
Carbon neutrality and synergy between industrial and innovation chains: green finance perspective
Climate change is emerging as a significant threat to sustainable human development in the coming decades, and the thirteenth of the United Nations’ Sustainable Development Goals (SDGs) aims precisely to mitigate this threat through practical action. We employ a composite system synergy model to measure the synergy between China's industrial and innovation chains and explore pathways for listed enterprises to achieve carbon neutrality in pursuit of SDGs. The findings reveal an upward trend in the synergistic degree of China's industrial and innovation chains, with a greater degree observed in the eastern regions. The combined development of the two chains demonstrates an ability to mitigate the intensity of carbon emissions across enterprises through digital advancements and advancements in green technology. Additionally, disparities in geographical location, the degree of marketisation, the nature of enterprise equity, and pollution levels of enterprises are found to exert asymmetric effects on carbon emissions. Moreover, green finance emerges as a significant mediator in enhancing the inhibitory effect of dual-chain synergy on enterprise carbon emission intensity. Our results trigger important policy narratives: a coupling of interaction between the government and the market can deliver carbon neutrality and facilitate a steadfast transition to a low-carbon economy for businesses.
Chinese listed enterprises, Industrial chain, carbon emission intensity, dual-chain synergy, green finance, innovation chain
Xu, Yang
b9cb64c2-c8f3-4ad9-a667-e72c84cd4ccb
Hunjra, Ahmed Imran
92e83140-adfc-418b-bd93-ee4ad97a6e22
Mishra, Tapas
218ef618-6b3e-471b-a686-15460da145e0
Zhao, Shikuan
4dfc56f7-ebc3-413f-a9a2-036fe40de7a9
Xu, Yang
b9cb64c2-c8f3-4ad9-a667-e72c84cd4ccb
Hunjra, Ahmed Imran
92e83140-adfc-418b-bd93-ee4ad97a6e22
Mishra, Tapas
218ef618-6b3e-471b-a686-15460da145e0
Zhao, Shikuan
4dfc56f7-ebc3-413f-a9a2-036fe40de7a9
Xu, Yang, Hunjra, Ahmed Imran, Mishra, Tapas and Zhao, Shikuan
(2025)
Carbon neutrality and synergy between industrial and innovation chains: green finance perspective.
International Journal of Production Research.
(doi:10.1080/00207543.2024.2447535).
Abstract
Climate change is emerging as a significant threat to sustainable human development in the coming decades, and the thirteenth of the United Nations’ Sustainable Development Goals (SDGs) aims precisely to mitigate this threat through practical action. We employ a composite system synergy model to measure the synergy between China's industrial and innovation chains and explore pathways for listed enterprises to achieve carbon neutrality in pursuit of SDGs. The findings reveal an upward trend in the synergistic degree of China's industrial and innovation chains, with a greater degree observed in the eastern regions. The combined development of the two chains demonstrates an ability to mitigate the intensity of carbon emissions across enterprises through digital advancements and advancements in green technology. Additionally, disparities in geographical location, the degree of marketisation, the nature of enterprise equity, and pollution levels of enterprises are found to exert asymmetric effects on carbon emissions. Moreover, green finance emerges as a significant mediator in enhancing the inhibitory effect of dual-chain synergy on enterprise carbon emission intensity. Our results trigger important policy narratives: a coupling of interaction between the government and the market can deliver carbon neutrality and facilitate a steadfast transition to a low-carbon economy for businesses.
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Accepted/In Press date: 16 December 2024
e-pub ahead of print date: 8 January 2025
Keywords:
Chinese listed enterprises, Industrial chain, carbon emission intensity, dual-chain synergy, green finance, innovation chain
Identifiers
Local EPrints ID: 497437
URI: http://eprints.soton.ac.uk/id/eprint/497437
ISSN: 0020-7343
PURE UUID: 4e6fdfc8-883f-40c0-a461-13f2e55b87ba
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Date deposited: 22 Jan 2025 17:54
Last modified: 22 Aug 2025 02:11
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Author:
Yang Xu
Author:
Ahmed Imran Hunjra
Author:
Shikuan Zhao
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