IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v96y2024ipbs1057521924006641.html
   My bibliography  Save this article

Data factor agglomeration and urban green finance: A quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone

Author

Listed:
  • Wang, Huizong
  • Hao, Yulong
  • Fu, Qiang

Abstract

Using panel data from 246 cities in China from 2008 to 2021, we investigate the impact of data factor agglomeration on the development of urban green finance through a quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone. Findings reveal that the effect of data agglomeration, characterized by the construction of big data comprehensive pilot zone, has significantly improved urban green finance development in the pilot zones. Further research shows that data factor agglomeration can expand the development scale of urban green finance by promoting industrial structure upgrading and improve the development efficiency of urban green finance by driving innovation in digital technology, both of which can promote urban green finance development. Furthermore, the impact of data factor agglomeration on urban green finance development is influenced by geographic location and urban administrative level, with greater significance for cities in the eastern region and those with high administrative levels. Meanwhile, the human capital level and environmental regulation strength positively moderate the efficacy of the data factors' agglomeration. Our study explores the effective and realistic approaches to promote the development of urban green finance from the perspective of data factor agglomeration, providing a reference for countries to accelerate the construction of good data factor ecosystems and promote green finance reform in depth.

Suggested Citation

  • Wang, Huizong & Hao, Yulong & Fu, Qiang, 2024. "Data factor agglomeration and urban green finance: A quasi-natural experiment based on the National Big Data Comprehensive Pilot Zone," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    • Handle: RePEc:eee:finana:v:96:y:2024:i:pb:s1057521924006641
    DOI: 10.1016/j.irfa.2024.103732
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924006641
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.irfa.2024.103732?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. Li, Weihao & Hu, Hongbing & Hong, Zekun, 2024. "Green finance policy, ESG rating, and cost of debt——Evidence from China," International Review of Financial Analysis, Elsevier, vol. 92(C).
    2. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    3. Zhang, Yiren & Ran, Congjing, 2023. "Effect of digital economy on air pollution in China? New evidence from the “National Big Data Comprehensive Pilot Area” policy," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 986-1004.
    4. Mr. Yan Carriere-Swallow & Mr. V. Haksar, 2019. "The Economics and Implications of Data: An Integrated Perspective," IMF Departmental Papers / Policy Papers 2019/013, International Monetary Fund.
    5. Wang, Juxian & Ma, Mengdi & Dong, Tianyi & Zhang, Zheyuan, 2023. "Do ESG ratings promote corporate green innovation? A quasi-natural experiment based on SynTao Green Finance's ESG ratings," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Zhang, Yingying & Wang, Xinpeng & Feng, Nianqiao, 2024. "The path of green finance to promote the realization of low-carbon economic transformation under the carbon peaking and carbon neutrality goals: Theoretical model and empirical analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
    7. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    8. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    9. Jiaqi Yan & Wayne Yu & J. Leon Zhao, 2015. "How signaling and search costs affect information asymmetry in P2P lending: the economics of big data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-11, December.
    10. 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.
    11. Guo, Bingnan & Hu, Peiji & Lin, Ji, 2024. "The effect of digital infrastructure development on enterprise green transformation," International Review of Financial Analysis, Elsevier, vol. 92(C).
    12. Shahbaz, Muhammad & Solarin, Sakiru Adebola & Mahmood, Haider & Arouri, Mohamed, 2013. "Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis," Economic Modelling, Elsevier, vol. 35(C), pages 145-152.
    13. Francisco Climent & Pilar Soriano, 2011. "Green and Good? The Investment Performance of US Environmental Mutual Funds," Journal of Business Ethics, Springer, vol. 103(2), pages 275-287, October.
    14. Zhuo Wang & Muhammad Sadiq Shahid & Nguyen Binh An & Mohsin Shahzad & Zulkiflee Abdul-Samad, 2022. "Does green finance facilitate firms in achieving corporate social responsibility goals?," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 5400-5419, December.
    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. Hou, Guanchong & Shi, Guifen, 2024. "Green finance and innovative cities: Dual-pilot policies and collaborative green innovation," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    2. Ma, Li & Li, Danna, 2024. "Would macro policy promote green and low-carbon transformation of energy companies?," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    3. Wang, Chen & Qiu, Jiayu & Chen, Binger & Deng, Xinxia, 2024. "Green finance, green culture and corporate green management innovation: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 67(PB).
    4. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.
    5. Wang, Mengna & Ma, Xingchao, 2024. "Does green finance promote the transformation and upgrading of manufacturing enterprises? Empirical research based on micro survey data in China," Finance Research Letters, Elsevier, vol. 69(PB).
    6. Hau, Liya & Yang, Xiaomei & Zhang, Yongmin, 2024. "Multiscale quantile dependence between China's green bond and green equity: Fresh evidence from higher-order moment perspective," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    7. Zhang, Dongyang & Bai, Dingchuan & He, Yurun & Sun, Qiaobing, 2024. "Synergistic abatement effects of Broadband China and environmental regulation: Firm-level evidence," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    8. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
    9. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    10. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
    11. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    12. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    13. Šević, Aleksandar & Nerantzidis, Michail & Tampakoudis, Ioannis & Tzeremes, Panayiotis, 2024. "Sustainability indices nexus: Green economy, ESG, environment and clean energy," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    14. Zhou, Qin & Cheng, Changgao & Fang, Zhou & Zhang, Hengquan & Xu, Yining, 2024. "How does the development of the digital economy affect innovation output? Exploring mechanisms from the perspective of regional innovation systems," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 1-17.
    15. Shi, Ruoying & Zhou, Hengyi & Li, Xiangqian & Miao, Xue'er & Zhao, Xing, 2024. "Green finance, investor preferences, and corporate green innovation," Finance Research Letters, Elsevier, vol. 66(C).
    16. He, Zhiguo & Huang, Jing & Zhou, Jidong, 2023. "Open banking: Credit market competition when borrowers own the data," Journal of Financial Economics, Elsevier, vol. 147(2), pages 449-474.
    17. Delbono, Flavio & Reggiani, Carlo & Sandrini, Luca, 2024. "Strategic data sales with partial segment profiling," Information Economics and Policy, Elsevier, vol. 68(C).
    18. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
    19. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    20. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2021. "Fintech: what’s old, what’s new?," Journal of Financial Stability, Elsevier, vol. 53(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:finana:v:96:y:2024:i:pb:s1057521924006641. 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/620166 .

    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.