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Simulation Model-Based Research on the Technology Support System for China’s Real Estate Financial Risk Management

Author

Listed:
  • Jia Guo

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Lixuan Chen

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Ge Gao

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Sijia Guo

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Xiuting Li

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

With technology and finance becoming increasingly integrated, it is imperative to use fintech to improve the capability to forestall and defuse major financial risks. As an area prone to financial risks, the real estate industry deserves in-depth research on the dynamics between risks and technological capability (TC). In this paper, a simulation model was constructed with system dynamics to examine whether an improvement in TC can effectively improve risk management capability (RMC), and to explore the specific interaction between RMC and TC under six policy scenarios. We present the following findings: (1) TC has a significant supporting role in risk management; (2) increasing R&D financial input is more effective than increasing personnel input when it comes to improving TC; (3) whether it is a single input or multiple inputs of different types, increasing R&D financial input is also more effective than increasing personnel input when it comes to improving risk management; (4) overall, improvements in TC and RMC have a positive effect on social and economic development. This study not only makes clear the interconnection between TC and RMC and enriches the research content in this field, but also provide a reference for preventing and resolving major financial risks and promoting stable social and economic development.

Suggested Citation

  • Jia Guo & Lixuan Chen & Ge Gao & Sijia Guo & Xiuting Li, 2022. "Simulation Model-Based Research on the Technology Support System for China’s Real Estate Financial Risk Management," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13525-:d:947389
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    References listed on IDEAS

    as
    1. Jianzhong Xiao & Jinhua Cheng & Jun Shen & Xiaolin Wang, 2017. "A System Dynamics Analysis of Investment, Technology and Policy that Affect Natural Gas Exploration and Exploitation in China," Energies, MDPI, vol. 10(2), pages 1-19, January.
    2. Aloke (Al) Ghosh & Doocheol Moon, 2010. "Corporate Debt Financing and Earnings Quality," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 538-559, June.
    3. Aloke (Al) Ghosh & Doocheol Moon, 2010. "Corporate Debt Financing and Earnings Quality," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5-6), pages 538-559.
    4. Shanmuganathan, Manchuna, 2020. "Behavioural finance in an era of artificial intelligence: Longitudinal case study of robo-advisors in investment decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    5. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    6. Ellis, Luci & Haldane, Andy & Moshirian, Fariborz, 2014. "Systemic risk, governance and global financial stability," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 175-181.
    7. Roberto Pasqualino & Irene Monasterolo & Aled Jones, 2019. "An Integrated Global Food and Energy Security System Dynamics Model for Addressing Systemic Risk," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    8. Han Chen & Soon Suk Yoon, 2022. "Does technology innovation in finance alleviate financing constraints and reduce debt-financing costs? Evidence from China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 28(4), pages 467-492, August.
    9. Luo, Sumei & Sun, Yongkun & Yang, Fan & Zhou, Guangyou, 2022. "Does fintech innovation promote enterprise transformation? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
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