IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v527y2019ics0378437119308106.html

Spatial spillover and impact factors of the internet finance development in China

Author

Listed:
  • Huang, Jie
  • Zhang, Wenshuang
  • Ruan, Weihua

Abstract

Using the social network analysis and quadratic assignment procedure method, this paper analyzes the network characteristic and impact factors of internet finance development in China. Some interesting findings emerge that: (i) the network characteristic exists in China’s regional internet finance development; (ii) some provinces, such as Shanghai, Jiangsu, Beijing, are at the core position of the network and play the leading role of China’s internet finance development; (iii) the spillover is mainly caused by the provinces located in the coastal area in China, and the relationships out of the blocks are far more than it intra block; (iv) the difference in economic development, industrial structure, traditional finance development level, and geography distance have a significant negative effect on the spillover of IF development. Our results may have some implications for policymakers.

Suggested Citation

  • Huang, Jie & Zhang, Wenshuang & Ruan, Weihua, 2019. "Spatial spillover and impact factors of the internet finance development in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
  • Handle: RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119308106
    DOI: 10.1016/j.physa.2019.121390
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119308106
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.121390?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

    for a different version of it.

    Citations

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


    Cited by:

    1. Chong, Zhaohui & Wei, Xiaolin, 2023. "Exploring the spatial linkage network of peer-to-peer lending in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    2. Shuping Li & Xinghua Liu & Chongren Wang, 2020. "The Influence of Internet Finance on the Sustainable Development of the Financial Ecosystem in China," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    3. Decai Tang & Ziqian Zhao & Jiannan Li & Valentina Boamah, 2024. "Research on coupling coordination degree of digital finance and economic resilience in the Yangtze River Economic Belt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(15), pages 14279-14309, December.
    4. Yujun Wei & Mengbin Wang & Xiaokun Wei & Fan Yuan & Jie Fan & Shusong Ba, 2024. "Spatial patterns and influencing factors of financial agglomeration in Guangdong-Hong Kong-Macao Greater Bay Area," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-21, August.
    5. Yang Fuming & WeiLun Huang & Liu Xiaojing, 2022. "Micro- and small-sized enterprises’ willingness to borrow via internet financial services during coronavirus disease 2019," International Entrepreneurship and Management Journal, Springer, vol. 18(1), pages 191-216, March.
    6. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2023. "Does digital finance matter for corporate green investment? Evidence from heavily polluting industries in China," Energy Economics, Elsevier, vol. 117(C).
    7. Jie Huang & Juan Chen, 2023. "Spatial spillover and impacting factors of green development: A study based on China’s provincial data," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-19, March.
    8. Zheng, Yingfei & Shen, Anran & Li, Ruihai & Yang, Yuhong & Wang, Shengjin & Cheng, Lee-Young, 2023. "Spillover effects between internet financial industry and traditional financial industry: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:phsmap:v:527:y:2019:i:c:s0378437119308106. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.