IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0127001.html
   My bibliography  Save this article

Investigation on Law and Economics Based on Complex Network and Time Series Analysis

Author

Listed:
  • Jian Yang
  • Zhao Qu
  • Hui Chang

Abstract

The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing.

Suggested Citation

  • Jian Yang & Zhao Qu & Hui Chang, 2015. "Investigation on Law and Economics Based on Complex Network and Time Series Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
  • Handle: RePEc:plo:pone00:0127001
    DOI: 10.1371/journal.pone.0127001
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127001
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0127001&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0127001?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
    ---><---

    References listed on IDEAS

    as
    1. Zhi-Qin Ma & Cheng-Yi Xia & Shi-Wen Sun & Li Wang & Huai-Bin Wang & Juan Wang, 2011. "Heterogeneous Link Weight Promotes The Cooperation In Spatial Prisoner'S Dilemma," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(11), pages 1257-1268.
    2. Felipe Calderon & Li Choy Chong, 2014. "Dilemma of sustainable lending," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 4(2), pages 192-209, April.
    3. Wu, Xiaoqun, 2008. "Synchronization-based topology identification of weighted general complex dynamical networks with time-varying coupling delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 997-1008.
    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. Jian Yang & Shuying Bai & Zhao Qu & Hui Chang, 2017. "Investigation on law and economics of listed companies’ financing preference based on complex network theory," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.

    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. Wu, Yu’e & Zhang, Zhipeng & Yang, Guoli & Liu, Haixin & Zhang, Qingfeng, 2022. "Evolution of cooperation driven by diversity on a double-layer square lattice," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    2. MHD Nour Hindia & Faizan Qamar & Mohammad B. Majed & Tharek Abd Rahman & Iraj S. Amiri, 2019. "Enabling remote-control for the power sub-stations over LTE-A networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(1), pages 37-53, January.
    3. Wei, Daijun & Deng, Xinyang & Zhang, Xiaoge & Deng, Yong & Mahadevan, Sankaran, 2013. "Identifying influential nodes in weighted networks based on evidence theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2564-2575.
    4. Wang, Lei & Wang, Juan & Guo, Baohong & Ding, Shuai & Li, Yukun & Xia, Chengyi, 2014. "Effects of benefit-inspired network coevolution on spatial reciprocity in the prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 66(C), pages 9-16.
    5. Yang, Changhui & Zhang, Qiang & Ding, Shuai, 2015. "An evaluation method for innovation capability based on uncertain linguistic variables," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 160-174.
    6. Yan, Jiaye & Zhou, Jiaying & Wu, Zhaoyan, 2019. "Structure identification of unknown complex-variable dynamical networks with complex coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 256-265.
    7. Sun, Jiaqin & Fan, Ruguo & Luo, Ming & Zhang, Yingqing & Dong, Lili, 2018. "The evolution of cooperation in spatial prisoner’s dilemma game with dynamic relationship-based preferential learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 598-611.
    8. Zhou, Tianwei & Ding, Shuai & Fan, Wenjuan & Wang, Hao, 2016. "An improved public goods game model with reputation effect on the spatial lattices," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 130-135.
    9. Tao Wang & Keke Huang & Zhen Wang & Xiaoping Zheng, 2015. "Impact of Small Groups with Heterogeneous Preference on Behavioral Evolution in Population Evacuation," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    10. Chen, Mei-huan & Wang, Li & Wang, Juan & Sun, Shi-wen & Xia, Cheng-yi, 2015. "Impact of individual response strategy on the spatial public goods game within mobile agents," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 192-202.
    11. Deng, Lili & Zhang, Xingxing & Wang, Cheng, 2021. "Coevolution of spatial ultimatum game and link weight promotes fairness," Applied Mathematics and Computation, Elsevier, vol. 392(C).
    12. Iwata, Manabu & Akiyama, Eizo, 2016. "Heterogeneity of link weight and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 224-234.
    13. Maria Carolina Rezende de Carvalho Ferreira & Vinicius Amorim Sobreiro & Herbert Kimura & Flavio Luiz de Moraes Barboza, 2016. "A systematic review of literature about finance and sustainability," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 6(2), pages 112-147, April.
    14. He, Tao & Lu, Xiliang & Wu, Xiaoqun & Lu, Jun-an & Zheng, Wei Xing, 2013. "Optimization-based structure identification of dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 1038-1049.
    15. Riccardo Pansini & Lei Shi & Rui-Wu Wang, 2016. "Women Tend to Defect in a Social Dilemma Game in Southwest China," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.
    16. An, Xin-lei & Zhang, Li & Li, Yin-zhen & Zhang, Jian-gang, 2014. "Synchronization analysis of complex networks with multi-weights and its application in public traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 149-156.
    17. Cui, Guang-Hai & Wang, Zhen & Yang, Yan-Cun & Tian, Sheng-Wen & Yue, Jun, 2018. "Heterogeneous game resource distributions promote cooperation in spatial prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1191-1200.
    18. Wang, Yi-Ling, 2013. "Asymmetric evaluation of fitness enhances spatial reciprocity in social dilemmas," Chaos, Solitons & Fractals, Elsevier, vol. 54(C), pages 76-81.
    19. Chen Chu & Jinzhuo Liu & Chen Shen & Jiahua Jin & Lei Shi, 2017. "Win-stay-lose-learn promotes cooperation in the prisoner’s dilemma game with voluntary participation," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-8, February.
    20. Sun, Xuemei & Zhang, Yiming & Ren, Xu & Chen, Ke, 2015. "Optimization deployment of wireless sensor networks based on culture–ant colony algorithm," Applied Mathematics and Computation, Elsevier, vol. 250(C), pages 58-70.

    More about this item

    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:plo:pone00:0127001. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.