IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0302789.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302789
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0302789&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0302789?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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).
    4. 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.
    5. Haner, Udo-Ernst, 2002. "Innovation quality--a conceptual framework," International Journal of Production Economics, Elsevier, vol. 80(1), pages 31-37, November.
    6. 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.
    7. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    8. 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.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhong, Shen & Zhou, Zhicheng & Gao, Wei, 2025. "Impact of regional finance reform and innovation policies on green innovation in pilot cities: A quasi-natural experiment," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 888-911.
    2. Zhao, Xingqi & Ke, Xiaojun & Jiang, Songyu, 2024. "Spatial impact of green finance reform pilot zones on environmental efficiency: A pathway to mitigating China's energy trilemma," Energy, Elsevier, vol. 312(C).
    3. Yaqi Wu & Chen Zhang & Po Yun & Dandan Zhu & Wei Cao & Zulfiqar Ali Wagan, 2021. "Time–frequency analysis of the interaction mechanism between European carbon and crude oil markets," Energy & Environment, , vol. 32(7), pages 1331-1357, November.
    4. Zhang, Lixia & Sun, Huaping & Pu, Tianlong & Sun, Hui & Chen, Zhenling, 2024. "Do green finance and hi-tech innovation facilitate sustainable development? Evidence from the Yangtze River Economic Belt," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1430-1442.
    5. Zhao, Yuhuan & Shi, Qiaoling & li, Hao & Qian, Zhiling & Zheng, Lu & Wang, Song & He, Yizhang, 2022. "Simulating the economic and environmental effects of integrated policies in energy-carbon-water nexus of China," Energy, Elsevier, vol. 238(PA).
    6. Lin, Boqiang & Xie, Yongjing, 2024. "The role of venture capital in determining the total factor productivity of renewable energy enterprises: In the context of government subsidy reduction," Energy Economics, Elsevier, vol. 132(C).
    7. Jin, Youliang & Wang, Shujuan & Cheng, Xu & Zeng, Huixiang, 2024. "Can environmental tax reform curb corporate environmental violations? A quasi-natural experiment based on China's “environmental fees to taxes”," Journal of Business Research, Elsevier, vol. 171(C).
    8. Lu, Yuchen & Gao, Yuqiang & Zhang, Yu & Wang, Junrong, 2022. "Can the green finance policy force the green transformation of high-polluting enterprises? A quasi-natural experiment based on “Green Credit Guidelines”," Energy Economics, Elsevier, vol. 114(C).
    9. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    10. Zhenjie Wang & Jiewei Zhang, 2023. "Nexus between corporate environmental performance and corporate environmental responsibility on innovation performance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11645-11672, October.
    11. Ying Fu & Zhaohan Wang & Yun Wang, 2024. "Green Financial Policy for Fostering Green Technological Innovation: The Role of Financing Constraints, Science Expenditure, and Heightened Industrial Structure," Sustainability, MDPI, vol. 16(20), pages 1-26, October.
    12. Mingbo Zheng & Gen-Fu Feng & Chun-Ping Chang, 2023. "Is green finance capable of promoting renewable energy technology? Empirical investigation for 64 economies worldwide," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 483-510, June.
    13. Zhigui Guan & Yuanjun Zhao & Guojing Geng, 2022. "The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1221-1244, December.
    14. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 369-385, January.
    15. Libin Feng & Zhengcheng Sun, 2023. "The Impact of Green Finance Pilot Policy on Carbon Intensity in Chinese Cities—Based on the Synthetic Control Method," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    16. Yan Yang & Yingli Zhang, 2022. "The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    17. Guo, Yunxia & Yu, Mengyao & Xu, Mingchen & Tang, Ying & Huang, Jingran & Liu, Jia & Hao, Yu, 2023. "Productivity gains from green finance: A holistic and regional examination from China," Energy Economics, Elsevier, vol. 127(PA).
    18. Xueqing Kang & Farman Ullah Khan & Raza Ullah & Muhammad Arif & Shams Ur Rehman & Farid Ullah, 2021. "Does Foreign Direct Investment Influence Renewable Energy Consumption? Empirical Evidence from South Asian Countries," Energies, MDPI, vol. 14(12), pages 1-15, June.
    19. Xueying Yuan & Lixia Shang & Jinhua Xu, 2024. "Green Financial Policy, Resource Allocation and Corporate Environmental Responsibility," Sustainability, MDPI, vol. 16(15), pages 1-29, July.
    20. Shao, Cuiying & Liu, Zhanyu, 2024. "Advancing green innovation through the establishment of data regulatory bodies: Insights from the Big Data Bureau in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 308-325.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0302789. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.