IDEAS home Printed from https://ideas.repec.org/a/spr/jqecon/v22y2024i1d10.1007_s40953-023-00371-w.html
   My bibliography  Save this article

Policy Sentiment and Bank’s Lending Behavior: Evidence from China’s Photovoltaic Industry

Author

Listed:
  • Chaoqing Yuan

    (Nanjing University of Aeronautics and Astronautics)

  • Hongxue Chen

    (Nanjing University of Aeronautics and Astronautics)

  • Bin Wu

    (Chinese Academy of Social Sciences)

Abstract

The Chinese photovoltaic (PV) industry has experienced rapid growth due to the supportive industrial policies put in place by the Chinese government. However, the industry has been plagued by excess capacity for a long period of time. PV manufacturers’ capacity expansion has heavily relied on the support of bank credit. Despite the industry’s excess capacity, banks continue to exhibit a willingness to provide additional loans to the manufacturers. This is primarily attributed to a series of favorable industrial policies which communicate vital information to banks and other market stakeholders, subsequently influencing their behaviors. This paper constructs a utility model for bank lending and studies the credit relationship between banks and PV companies. In addition, policy sentiment implied in the PV policy is quantified through sentiment analysis and incorporated into the utility model to explore the impact of policy signals on banks’ lending behavior. According to the results of the empirical study utilizing panel data analysis, policy sentiment has a significantly positive impact on PV companies’ debt levels as it can change banks’ preferences on their lending targets and affect their risk assessment of the PV industry, benefiting numerous industry players who have expanded their business with the support of bank credit.

Suggested Citation

  • Chaoqing Yuan & Hongxue Chen & Bin Wu, 2024. "Policy Sentiment and Bank’s Lending Behavior: Evidence from China’s Photovoltaic Industry," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(1), pages 103-126, March.
  • Handle: RePEc:spr:jqecon:v:22:y:2024:i:1:d:10.1007_s40953-023-00371-w
    DOI: 10.1007/s40953-023-00371-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40953-023-00371-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40953-023-00371-w?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. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
    2. Raghuram G. Rajan, 1994. "Why Bank Credit Policies Fluctuate: A Theory and Some Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 399-441.
    3. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    4. Yuan, Chaoqing & Liu, Sifeng & Yang, Yingjie & Chen, Ding & Fang, Zhigeng & Shui, Lulu, 2014. "An analysis on investment policy effect of China’s photovoltaic industry based on feedback model," Applied Energy, Elsevier, vol. 135(C), pages 423-428.
    5. repec:diw:diwwpp:dp1132 is not listed on IDEAS
    6. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
    7. Zhang, Huiming & Zheng, Yu & Ozturk, U. Aytun & Li, Shanjun, 2016. "The impact of subsidies on overcapacity: A comparison of wind and solar energy companies in China," Energy, Elsevier, vol. 94(C), pages 821-827.
    8. Yu, Bosco Wing-Tong & Pang, Wan Kai & Troutt, Marvin D. & Hou, Shui Hung, 2009. "Objective comparisons of the optimal portfolios corresponding to different utility functions," European Journal of Operational Research, Elsevier, vol. 199(2), pages 604-610, December.
    9. Faulkender, Michael & Flannery, Mark J. & Hankins, Kristine Watson & Smith, Jason M., 2012. "Cash flows and leverage adjustments," Journal of Financial Economics, Elsevier, vol. 103(3), pages 632-646.
    10. Rajan, Raghuram G & Zingales, Luigi, 1995. "What Do We Know about Capital Structure? Some Evidence from International Data," Journal of Finance, American Finance Association, vol. 50(5), pages 1421-1460, December.
    11. Grau, Thilo & Huo, Molin & Neuhoff, Karsten, 2012. "Survey of photovoltaic industry and policy in Germany and China," Energy Policy, Elsevier, vol. 51(C), pages 20-37.
    12. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    13. Celiker, Umut & Chowdhury, Jaideep & Sonaer, Gokhan, 2015. "Do mutual funds herd in industries?," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 1-16.
    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. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    2. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    3. Yan, Chen & Ji, Yaxing & Chen, Rui, 2023. "Research on the mechanism of selective industrial policies on enterprises' innovation performance ——Evidence from China's photovoltaic industry," Renewable Energy, Elsevier, vol. 215(C).
    4. Liu, Chang & Liu, Linlin & Zhang, Dayong & Fu, Jiasha, 2021. "How does the capital market respond to policy shocks? Evidence from listed solar photovoltaic companies in China," Energy Policy, Elsevier, vol. 151(C).
    5. Qin Zhang & Jing Zhao & Dequn Zhou, 2024. "Can the cancellation of government subsidies alleviate the phenomenon of overcapacity in the photovoltaic module industry? From a dynamic perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 6419-6441, March.
    6. Qian Wang & Duowen Wu & Lina Yan, 2021. "Effect of positive tone in MD&A disclosure on capital structure adjustment speed: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5809-5845, December.
    7. Lambrinoudakis, Costas & Skiadopoulos, George & Gkionis, Konstantinos, 2019. "Capital structure and financial flexibility: Expectations of future shocks," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 1-18.
    8. Di Giuli, Alberta & Laux, Paul A., 2022. "The effect of media-linked directors on financing and external governance," Journal of Financial Economics, Elsevier, vol. 145(2), pages 103-131.
    9. Huseyin Gulen & Mihai Ion & Candace E Jens & Stefano Rossi, 2024. "Credit Cycles, Expectations, and Corporate Investment," The Review of Financial Studies, Society for Financial Studies, vol. 37(11), pages 3335-3385.
    10. Fraiberger, Samuel P. & Lee, Do & Puy, Damien & Ranciere, Romain, 2021. "Media sentiment and international asset prices," Journal of International Economics, Elsevier, vol. 133(C).
    11. Grace Gu & Ruud Mooij & Tigran Poghosyan, 2015. "Taxation and leverage in international banking," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(2), pages 177-200, April.
    12. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in China," Energy Economics, Elsevier, vol. 127(PA).
    13. Natalia Szomko, 2017. "The Importance of Estimation Method Choice for the Analysis of the Determinants of Capital Structure– An Example of Poland," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 3(1), pages 3-20, June.
    14. Aflatooni, Abbas & Ghaderi, Kaveh & Mansouri, Kefsan, 2022. "Sanctions against Iran, political connections and speed of adjustment," Emerging Markets Review, Elsevier, vol. 51(PB).
    15. Ernest Ezeani & Rami Salem & Frank Kwabi & Khalid Boutaine & Bilal & Bushra Komal, 2022. "Board monitoring and capital structure dynamics: evidence from bank-based economies," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 473-498, February.
    16. Peng Huang & Yue Lu & Robert Faff, 2021. "Social trust and the speed of corporate leverage adjustment: evidence from around the globe," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3261-3303, June.
    17. Laetitia Lepetit & Amine Tarazi & Nadia Zedek, 2012. "Ultimate Ownership Structure and Bank Regulatory Capital Adjustment: Evidence from European Commercial Banks," Working Papers hal-00918579, HAL.
    18. Rodríguez-García, Rafael & Budría, Santiago, 2019. "The impact of supply-side factors on corporate leverage," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 262-272.
    19. Yiping Liu & Jian Chen & Lingjun Wang, 2020. "Research on Self-Organizing Evolution Level of China’s Photovoltaic Industry Chain System," Sustainability, MDPI, vol. 12(5), pages 1-22, February.
    20. D’Acunto, Francesco & Liu, Ryan & Pflueger, Carolin & Weber, Michael, 2018. "Flexible prices and leverage," Journal of Financial Economics, Elsevier, vol. 129(1), pages 46-68.

    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:spr:jqecon:v:22:y:2024:i:1:d:10.1007_s40953-023-00371-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.