IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0286043.html
   My bibliography  Save this article

Construction enterprises’ green financing efficiency and its influencing factors including internal and external: Based on four-stage DEA model

Author

Listed:
  • Yaguai Yu
  • Panyi Shen
  • Yina Yan
  • Taohan Ni
  • Fangyuan Chen

Abstract

Under the background of carbon neutrality, green development is the theme of today’s times. The construction industry is an important part of the green development plan, and it is of great significance to study its green financing efficiency. Based on this, this paper uses the four-stage DEA model to explore the green financing efficiency of listed construction companies from 2019 to 2020. The conclusion shows that: firstly, the green financing efficiency of listed construction companies is low, and the demand for green financing has not been met. It is necessary to strengthen the support of green finance to meet the needs of its expansion. Secondly, the efficiency of green financing is significantly and complexly affected by external influencing factors. It is necessary to dialectically treat external influencing factors such as local industry development support, financial development level, and the number of patent authorizations. Thirdly, among the internal influencing factors, the proportion of independent directors has a significant positive impact on the green financing efficiency of listed construction companies, and the proportion of R&D investment has a significant negative impact. Listed construction companies need to increase the proportion of independent directors and control the proportion of R&D investment.

Suggested Citation

  • Yaguai Yu & Panyi Shen & Yina Yan & Taohan Ni & Fangyuan Chen, 2023. "Construction enterprises’ green financing efficiency and its influencing factors including internal and external: Based on four-stage DEA model," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
  • Handle: RePEc:plo:pone00:0286043
    DOI: 10.1371/journal.pone.0286043
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286043
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0286043&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0286043?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. Agha Iqbal Ali & Catherine Lerme, 1997. "Comparative advantage and disadvantage in DEA," Annals of Operations Research, Springer, vol. 73(0), pages 215-232, October.
    2. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    3. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    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. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi & Wang, Keying, 2023. "How does green finance drive the decarbonization of the economy? Empirical evidence from China," Renewable Energy, Elsevier, vol. 204(C), pages 671-684.
    2. Zhang, Wei & Liu, Xuemeng & Zhao, Shikuan & Tang, Tian, 2024. "Does green finance agglomeration improve carbon emission performance in China? A perspective of spatial spillover," Applied Energy, Elsevier, vol. 358(C).
    3. Abdulrasheed Zakari & Bahareh Oryani & Rafael Alvarado & Kadir Mumini, 2023. "Assessing the impact of green energy and finance on environmental performance in China and Japan," Economic Change and Restructuring, Springer, vol. 56(2), pages 1185-1199, April.
    4. Weimin Xiang & Yeqiang Lan & Qiao Qi & Lei Gan, 2023. "The impact mechanism of China’s green finance on the transformation and innovation of high-energy-consumption enterprises," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-22, October.
    5. Su, Zhifang & Guo, Qianqian & Lee, Hsiang-Tai, 2022. "Green finance policy and enterprise energy consumption intensity: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 115(C).
    6. Dogan, Eyup & Madaleno, Mara & Taskin, Dilvin & Tzeremes, Panayiotis, 2022. "Investigating the spillovers and connectedness between green finance and renewable energy sources," Renewable Energy, Elsevier, vol. 197(C), pages 709-722.
    7. Cui, Xiaona & Mohd Said, Ridzwana & Abdul Rahim, Norhuda & Ni, Mengjiao, 2024. "Can green finance Lead to green investment? Evidence from heavily polluting industries," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    8. Pang, Lidong & Zhu, Meng Nan & Yu, Haiyan, 2022. "Is green finance really a blessing for green technology and carbon efficiency?," Energy Economics, Elsevier, vol. 114(C).
    9. Li, Songran & Shao, Qinglong, 2022. "Greening the finance for climate mitigation: An ARDL–ECM approach," Renewable Energy, Elsevier, vol. 199(C), pages 1469-1481.
    10. Xiaolong Bai, 2022. "Exploring the Sustainable Development Path of a Green Financial System in the Context of Carbon Neutrality and Carbon Peaking: Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
    11. Lee, Chien-Chiang & Ho, Shan-Ju, 2022. "Impacts of export diversification on energy intensity, renewable energy, and waste energy in 121 countries: Do environmental regulations matter?," Renewable Energy, Elsevier, vol. 199(C), pages 1510-1522.
    12. Fu, Bowen & Zhang, Yixiang & Maani, Sholeh & Wen, Le, 2025. "Green finance and job creation: Analyzing employment effects in China's manufacturing industry within green finance innovation and reform pilot zones," Energy Economics, Elsevier, vol. 141(C).
    13. Xin Yun & Yang Hu, 2024. "An Overview of the Evolution in the Research Landscape of Green Finance," World, MDPI, vol. 5(4), pages 1-32, December.
    14. Wang, Jingyi, 2024. "Green finance and the relationship with goodwill: A study based on the perspectives of accounting information quality and financing constraints," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 833-846.
    15. Zhao, Liange & Wang, Dongmei & Wang, Xueyuan & Zhang, Zhijian, 2023. "Impact of green finance on total factor productivity of heavily polluting enterprises: Evidence from green finance reform and innovation pilot zone," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 765-785.
    16. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    17. Xu, Ru-Yu & Wang, Ke-Liang & Miao, Zhuang, 2024. "The impact of digital technology innovation on green total-factor energy efficiency in China: Does economic development matter?," Energy Policy, Elsevier, vol. 194(C).
    18. Hu, Hui & Qi, Shaozhou & Chen, Yuanzhi, 2023. "Using green technology for a better tomorrow: How enterprises and government utilize the carbon trading system and incentive policies," China Economic Review, Elsevier, vol. 78(C).
    19. Huang, Haiping & Huang, Baolian & Sun, Aijun, 2023. "How do mineral resources influence eco-sustainability in China? Dynamic role of renewable energy and green finance," Resources Policy, Elsevier, vol. 85(PA).
    20. Qadri, Hussain Mohi ud Din & Ali, Hassnian & Abideen, Zain ul & Jafar, Ahmad, 2024. "Mapping the Evolution of Green Finance Research and Development in Emerging Green Economies," Resources Policy, Elsevier, vol. 91(C).

    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:pone00:0286043. 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.