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Research Article

The road to sustainable development: exploring the impact of green technology innovation and environmental regulation on the green competitiveness of heavily polluting manufacturing industries

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Received 01 May 2023, Accepted 28 Feb 2024, Published online: 14 May 2024
 

Abstract

This study tests the impact of green technology innovation (GTI) from green innovation output (GTIO) and green innovation efficiency (GTIE) on green competitiveness (GTFP) and the non-linear moderating effect of environmental regulation (ERI) using a sample of 156 listed enterprises in heavily polluting manufacturing industries from 2016 to 2021. Results show that GTIO promotes GTFP, but GTIE inhibits GTFP. ERI has a significant “U-shaped” moderating effect between GTI and GTFP. Non-state-owned enterprises have relatively weak GTI ability but stronger sensitivity to ERI. Enterprises with high market concentration have outstanding GTI strength and can form positive interactions with ERI. High GTFP enterprises’ GTI has a more positive impact on GTFP, but the ERI is better coupled with GTIO in low GTFP enterprises. Our findings imply that policymakers should formulate appropriate environmental policies for enterprises in different situations, while enterprises should respond positively to ERI through multiple channels to enhance green competitiveness.

Acknowledgements

We would like to thank the editor and the anonymous referees for their valuable comments on this paper.

Authors contributions

Yilin Zhao: data collection and processing, original draft; Juan Shang: conceptualization, methodology and material preparation; Xiaodong Yang: data analysis and revising original draft; Guanqing Shi: software, editing picture and formal analysis. All authors contributed to this article and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The datasets in this study are available from the corresponding author on reasonable request.

Notes

1 Compared with the traditional entropy method, the improved entropy method is more scientific and efficient, and more suitable for situations where the information on the evaluation object is complex and extreme values exist. Specific measurement details are not given because of limitations of space.

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