IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipds1544612323010279.html
   My bibliography  Save this article

The impact of financial agglomeration on corporate financialization: The moderating role of financial risk in Chinese listed manufacturing enterprises

Author

Listed:
  • Chen, Liping
  • Zhang, Cheng

Abstract

This paper investigates the impact of financial agglomeration on corporate financialization using data from Chinese listed manufacturing enterprises between 2011 and 2020. By considering financial risk as a moderating variable, the study offers a comprehensive analysis of both the positive and potential negative effects of financial agglomeration on corporate financialization. We find that, first, financial agglomeration significantly promotes corporate financialization. Second, financial risk moderates the relationship between financial agglomeration and corporate financialization. Third, financial agglomeration has a more significant impact on corporate financialization for companies with higher financial risk and non-state-owned enterprises.

Suggested Citation

  • Chen, Liping & Zhang, Cheng, 2023. "The impact of financial agglomeration on corporate financialization: The moderating role of financial risk in Chinese listed manufacturing enterprises," Finance Research Letters, Elsevier, vol. 58(PD).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323010279
    DOI: 10.1016/j.frl.2023.104655
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323010279
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104655?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Farooq, Omar & Zarouali, Ilham, 2016. "Financial centers and ownership concentration: When is ownership concentration value relevant? Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 38(C), pages 236-245.
    2. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    3. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    4. Xie, Rui & Fu, Wei & Yao, Siling & Zhang, Qi, 2021. "Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model," Energy Economics, Elsevier, vol. 101(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elena G. Popkova & Muxabbat F. Xakimova & Marija A. Troyanskaya & Elena S. Petrenko & Olga V. Fokina, 2024. "Responsible Innovations as Tools for the Management of Financial Risks to Projects of High-Tech Companies for Their Sustainable Development," Risks, MDPI, vol. 12(2), pages 1-28, January.

    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. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    2. Tan, Weijie & Shen, Minghao & Pang, Yubiao & Liu, Yiqian, 2024. "Bank agglomeration and corporate environmental responsibility performance: Evidence from Chinese bank branch data," International Review of Financial Analysis, Elsevier, vol. 91(C).
    3. Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
    4. Tianshu Quan & Tianli Quan, 2023. "A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    5. Yuxi Chen & Mengting Zhang & Chencheng Wang & Xin Lin & Zhijie Zhang, 2023. "High-Tech Industrial Agglomeration, Government Intervention and Regional Energy Efficiency: Based on the Perspective of the Spatial Spillover Effect and Panel Threshold Effect," Sustainability, MDPI, vol. 15(7), pages 1-29, April.
    6. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
    7. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    8. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    9. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    10. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire Une Application aux Banques des Pays Emergents," Finance 0409026, University Library of Munich, Germany.
    11. Maurice Peat, 2007. "Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 303-324, September.
    12. Shekar Shetty & Mohamed Musa & Xavier Brédart, 2022. "Bankruptcy Prediction Using Machine Learning Techniques," JRFM, MDPI, vol. 15(1), pages 1-10, January.
    13. Silvia Mariela Méndez-Prado & Ariel Flores Ulloa, 2022. "The Impact Analysis of Psychological Issues and Pandemic-Related Variables on Ecuadorian University Students during COVID-19," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    14. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    15. Quader, Syed Manzur, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, Elsevier, vol. 32(C), pages 20-29.
    16. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    17. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
    18. M. Naresh Kumar & V. Sree Hari Rao, 2015. "A New Methodology for Estimating Internal Credit Risk and Bankruptcy Prediction under Basel II Regime," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 83-102, June.
    19. Catherine Refait, 2004. "La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux," Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
    20. Jeyhun A. Abbasov, 2017. "Financial ratios and the prediction of bankruptcy," Working Papers 1705, Central Bank of Azerbaijan Republic.

    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:eee:finlet:v:58:y:2023:i:pd:s1544612323010279. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.