IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v76y2022ics030142072200068x.html
   My bibliography  Save this article

Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines

Author

Listed:
  • Tan, Xiujie
  • Yan, Yaxue
  • Dong, Yuyang

Abstract

Green credit policy has been increasingly critical in easing financing restraints on green innovation. China's Green Credit Guidelines (GCGs) limit loans to industries with high pollution, high energy intensity and overcapacity (THOS industries), and provide financial support to non-THOS industries. This study investigates the effects of the GCGs on green innovation from the perspective of peer effect. It explores mutual influences among THOS and non-THOS enterprises to reveal mechanisms underlying the peer effect. The key results are as follows. First, the peer effect positively influences the quality of enterprises’ green innovation; compared with THOS industries, the GCGs could strengthen the peer effect of green innovation in non-THOS industries. Second, after implementing the GCGs, compared with THOS industry, the peer effect of green innovation in non-THOS industries is stronger. Green innovation in THOS enterprises could promote green innovation in non-THOS enterprises in the same peer group. Third, the stricter the financing constraint and the fiercer the industrial competition faced by enterprises, the weaker the peer effect of green innovation among industries. The higher the degree of marketization, the stronger the peer effect of green innovation for non-THOS enterprises.

Suggested Citation

  • Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s030142072200068x
    DOI: 10.1016/j.resourpol.2022.102619
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142072200068X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2022.102619?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. Brav, Alon & Jiang, Wei & Ma, Song & Tian, Xuan, 2018. "How does hedge fund activism reshape corporate innovation?," Journal of Financial Economics, Elsevier, vol. 130(2), pages 237-264.
    2. Malcolm Baker & Jeremy C. Stein & Jeffrey Wurgler, 2003. "When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 969-1005.
    3. Campiglio, Emanuele, 2016. "Beyond carbon pricing: The role of banking and monetary policy in financing the transition to a low-carbon economy," Ecological Economics, Elsevier, vol. 121(C), pages 220-230.
    4. An, Simin & Li, Bo & Song, Dongping & Chen, Xue, 2021. "Green credit financing versus trade credit financing in a supply chain with carbon emission limits," European Journal of Operational Research, Elsevier, vol. 292(1), pages 125-142.
    5. Dannhauser, Caitlin D., 2017. "The impact of innovation: Evidence from corporate bond exchange-traded funds (ETFs)," Journal of Financial Economics, Elsevier, vol. 125(3), pages 537-560.
    6. Luo, Sumei & Yu, Shenghui & Zhou, Guangyou, 2021. "Does green credit improve the core competence of commercial banks? Based on quasi-natural experiments in China," Energy Economics, Elsevier, vol. 100(C).
    7. Claudia Ghisetti & Susanna Mancinelli & Massimiliano Mazzanti & Mariangela Zoli, 2017. "Financial barriers and environmental innovations: evidence from EU manufacturing firms," Climate Policy, Taylor & Francis Journals, vol. 17(0), pages 131-147, June.
    8. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
    9. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    10. Ming-Jer Chen & Ken G. Smith & Curtis M. Grimm, 1992. "Action Characteristics as Predictors of Competitive Responses," Management Science, INFORMS, vol. 38(3), pages 439-455, March.
    11. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    12. Aastvedt, Tonje Marthinsen & Behmiri, Niaz Bashiri & Lu, Li, 2021. "Does green innovation damage financial performance of oil and gas companies?," Resources Policy, Elsevier, vol. 73(C).
    13. Amankwah-Amoah, Joseph & Hinson, Robert E., 2019. "Contextual influences on new technology ventures: A study of domestic firms in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 289-296.
    14. Wang, Chengqi & Yi, Jingtao & Kafouros, Mario & Yan, Yanni, 2015. "Under what institutional conditions do business groups enhance innovation performance?," Journal of Business Research, Elsevier, vol. 68(3), pages 694-702.
    15. Barros, Henrique M., 2021. "Neither at the cutting edge nor in a patent-friendly environment: Appropriating the returns from innovation in a less developed economy," Research Policy, Elsevier, vol. 50(1).
    16. Qiang, Qiu & Jian, Chen, 2020. "Natural resource endowment, institutional quality and China's regional economic growth," Resources Policy, Elsevier, vol. 66(C).
    17. Maria Luisa Mancusi & Andrea Vezzulli, 2014. "R&D AND CREDIT RATIONING IN SMEs," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1153-1172, July.
    18. Lin, Runhui & Xie, Zaiyang & Hao, Yunhong & Wang, Jie, 2020. "Improving high-tech enterprise innovation in big data environment: A combinative view of internal and external governance," International Journal of Information Management, Elsevier, vol. 50(C), pages 575-585.
    19. Philippe Aghion & Xavier Jaravel, 2015. "Knowledge Spillovers, Innovation and Growth," Economic Journal, Royal Economic Society, vol. 0(583), pages 533-573, March.
    20. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    21. Brown, James R. & Martinsson, Gustav & Petersen, Bruce C., 2012. "Do financing constraints matter for R&D?," European Economic Review, Elsevier, vol. 56(8), pages 1512-1529.
    22. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
    23. 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).
    24. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    25. Xin, Fu & Zhang, Jie & Zheng, Wenping, 2017. "Does credit market impede innovation? Based on the banking structure analysis," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 268-288.
    26. Lee, Lung-fei, 2007. "The method of elimination and substitution in the GMM estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 140(1), pages 155-189, September.
    27. Beladi, Hamid & Deng, Jie & Hu, May, 2021. "Cash flow uncertainty, financial constraints and R&D investment," International Review of Financial Analysis, Elsevier, vol. 76(C).
    28. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-643, August.
    29. Yao, Li & Li, Jun & Li, Jian, 2020. "Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    30. Yao, Shouyu & Pan, Yuying & Sensoy, Ahmet & Uddin, Gazi Salah & Cheng, Feiyang, 2021. "Green credit policy and firm performance: What we learn from China," Energy Economics, Elsevier, vol. 101(C).
    31. Meng, Bo & Liu, Yu & Andrew, Robbie & Zhou, Meifang & Hubacek, Klaus & Xue, Jinjun & Peters, Glen & Gao, Yuning, 2018. "More than half of China’s CO2 emissions are from micro, small and medium-sized enterprises," Applied Energy, Elsevier, vol. 230(C), pages 712-725.
    32. Wen, Huwei & Lee, Chien-Chiang & Zhou, Fengxiu, 2021. "Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises," Energy Economics, Elsevier, vol. 94(C).
    33. Polzin, Friedemann, 2017. "Mobilizing private finance for low-carbon innovation – A systematic review of barriers and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 525-535.
    34. Zhang, Dongyang & Guo, Yumei, 2019. "Financing R&D in Chinese private firms: Business associations or political connection?," Economic Modelling, Elsevier, vol. 79(C), pages 247-261.
    35. Yuan, Dongliang & Shang, Duo & Ma, Yufei & Li, Dehui, 2022. "The Spillover Effects of Peer Annual Report Tone for Firm Innovation Investment: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    36. Fenghua Pan & Bofei Yang, 2019. "Financial development and the geographies of startup cities: evidence from China," Small Business Economics, Springer, vol. 52(3), pages 743-758, March.
    37. Giebel, Marek & Kraft, Kornelius, 2020. "Bank credit supply and firm innovation behavior in the financial crisis," Journal of Banking & Finance, Elsevier, vol. 121(C).
    38. Li, Changqing & Lu, Jian, 2018. "R&D, financing constraints and export green-sophistication in China," China Economic Review, Elsevier, vol. 47(C), pages 234-244.
    39. Yu, Jian & Fu, Jiasha, 2021. "Credit rationing, innovation, and productivity: Evidence from small- and medium-sized enterprises in China," Economic Modelling, Elsevier, vol. 97(C), pages 220-230.
    40. Yano, Go & Shiraishi, Maho, 2020. "Finance, institutions, and innovation activities in China," Economic Systems, Elsevier, vol. 44(4).
    41. Deng, Yaling & You, Daming & Wang, Jingjing, 2022. "Research on the nonlinear mechanism underlying the effect of tax competition on green technology innovation - An analysis based on the dynamic spatial Durbin model and the threshold panel model," Resources Policy, Elsevier, vol. 76(C).
    42. Lee, Lung-fei, 2007. "GMM and 2SLS estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 137(2), pages 489-514, April.
    43. Song, Malin & Wang, Shuhong & Sun, Jing, 2018. "Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 1-14.
    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. Ma, Yanbai & Lu, Ling & Cui, Jingbo & Shi, Xunpeng, 2024. "Can green credit policy stimulate firms’ green investments?," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 123-137.
    2. Qianyi Du & Haoran Pan & Shuang Liang & Xiaoxue Liu, 2023. "Can Green Credit Policies Accelerate the Realization of the Dual Carbon Goal in China? Examination Based on an Endogenous Financial CGE Model," IJERPH, MDPI, vol. 20(5), pages 1-26, March.
    3. Zhang, Cheng & Zhou, Bo, 2023. "Where should the money go? The green effect of governmental guidance when sustainable finance impacts brown firms," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    4. Hu, Yi & Jin, Shuchang & Ni, Juan & Peng, Kai & Zhang, Lei, 2023. "Strategic or substantive green innovation: How do non-green firms respond to green credit policy?," Economic Modelling, Elsevier, vol. 126(C).
    5. Zhang, Shengling & Wu, Zihao & He, Yinan & Hao, Yu, 2022. "How does the green credit policy affect the technological innovation of enterprises? Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    6. Guo, Shu & Zhang, ZhongXiang, 2023. "Green credit policy and total factor productivity: Evidence from Chinese listed companies," Energy Economics, Elsevier, vol. 128(C).
    7. Ge, Yongbo & Zhu, Yuexiao, 2022. "Boosting green recovery: Green credit policy in heavily polluted industries and stock price crash risk," Resources Policy, Elsevier, vol. 79(C).
    8. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    9. Sun, Chuanwang & Zeng, Yingfang, 2023. "Does the green credit policy affect the carbon emissions of heavily polluting enterprises?," Energy Policy, Elsevier, vol. 180(C).
    10. 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).
    11. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    12. Wang, Xiaoyin & Gao, Cuiyun, 2024. "Does green finance policy help to improve carbon reduction welfare performance? Evidence from China," Energy Economics, Elsevier, vol. 132(C).
    13. Xijia Huang & Yiting Guo & Yuming Lin & Liping Liu & Kai Yan, 2022. "Green Loans and Green Innovations: Evidence from China’s Equator Principles Banks," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    14. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    15. Lee, Chien-Chiang & Wang, Chih-Wei & Thinh, Bui Tien, 2023. "Green development, climate risks, and cash flow: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    16. Weiping Li & Xiaoqi Chen & Tao Yuan, 2023. "Green credit policy and corporate cash holdings: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S2), pages 2875-2903, June.
    17. Zhou, Bo & Zhang, Cheng, 2023. "When green finance meets banking competition: Evidence from hard-to-abate enterprises of China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    18. Mo Du & Ruirui Zhang & Shanglei Chai & Qiang Li & Ruixuan Sun & Wenjun Chu, 2022. "Can Green Finance Policies Stimulate Technological Innovation and Financial Performance? Evidence from Chinese Listed Green Enterprises," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    19. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    20. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    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:jrpoli:v:76:y:2022:i:c:s030142072200068x. 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/inca/30467 .

    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.