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How does China’s green credit policy affect the innovation of high-polluting enterprises? From the perspective of innovation quantity and quality

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  • E Bai
  • Kai Wu
  • Hongxin Zhu
  • Hejie Zhu
  • Zhijiang Lu

Abstract

Employing the “Green Credit Guidelines” implemented in 2012 as the basis for a quasi-natural experiment, this study applies the method of Difference-in-Differences(DID) to investigate the influence of the Green Credit Policy on both the quantity and quality of enterprise innovation. The outcomes of our analysis reveal that the policy has significantly boosted both the quantity and quality of innovation among enterprises identified as heavy polluters. It is noteworthy that the policy’s positive impact on innovation quantity surpasses its positive effect on innovation quality. This substantiates that the Green Credit Policy effectively generates incentivizing outcomes for innovation among the heavy polluters, thereby verifying Porter’s hypothesis within the domain of green credit in China. Furthermore, we find that the positive impact is more significant for enterprises with lower innovation capabilities, large-scale enterprises, state-owned enterprises, and those situated in both the Eastern and Western regions. Through these findings, this study illuminates a novel perspective on the interplay between the Green Credit Policy and enterprise innovation dynamics in China.

Suggested Citation

  • E Bai & Kai Wu & Hongxin Zhu & Hejie Zhu & Zhijiang Lu, 2024. "How does China’s green credit policy affect the innovation of high-polluting enterprises? From the perspective of innovation quantity and quality," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-31, May.
    • Handle: RePEc:plo:pone00:0302789
    DOI: 10.1371/journal.pone.0302789
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    References listed on IDEAS

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    1. Haner, Udo-Ernst, 2002. "Innovation quality--a conceptual framework," International Journal of Production Economics, Elsevier, vol. 80(1), pages 31-37, November.
    2. Kai Wu & E Bai & Hejie Zhu & Zhijiang Lu & Hongxin Zhu, 2023. "Can Green Credit Policy Promote the High-Quality Development of China’s Heavily-Polluting Enterprises?," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    3. Yi Hu & Jiayu Zheng, 2021. "Is Green Credit a Good Tool to Achieve “Double Carbon” Goal? Based on Coupling Coordination Model and PVAR Model," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    4. Huang, Hongyun & Mbanyele, William & Wang, Fengrong & Zhang, Chenxi & Zhao, Xin, 2023. "Nudging corporate environmental responsibility through green finance? Quasi-natural experimental evidence from China," Journal of Business Research, Elsevier, vol. 167(C).
    5. Xu, Aiting & Zhu, Yuhan & Wang, Wenpu, 2023. "Micro green technology innovation effects of green finance pilot policy—From the perspectives of action points and green value," Journal of Business Research, Elsevier, vol. 159(C).
    6. Zumian Xiao & Hongfeng Peng & Zheyao Pan, 2022. "Innovation, external technological environment and the total factor productivity of enterprises," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 3-29, March.
    7. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 105-121, June.
    8. Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018. "Erratum to: Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 123-123, June.
    9. Zhifeng Zhang & Hongyan Duan & Shuangshuang Shan & Qingzhi Liu & Wenhui Geng, 2022. "The Impact of Green Credit on the Green Innovation Level of Heavy-Polluting Enterprises—Evidence from China," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
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