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AIMS Mathematics

2024, Volume 9, Issue 4: 8920-8939. doi: 10.3934/math.2024435
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Research article

The impact of digital economy on the financial risk ripple effect: evidence from China

  • 1.
    School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
  • 2.
    Guangzhou Institute of International Finance, Guangzhou University, Guangzhou 510006, China
  • Received: 01 February 2024 Revised: 24 February 2024 Accepted: 27 February 2024 Published: 04 March 2024

  • MSC : 62P20

  • The impact of the digital economy on the ripple effect of financial risks has attracted attention. Based on the data of flow of funds statements (financial accounts), spanning from 2011 to 2020, the fund flow analysis method was used to build a model measuring financial risk ripple effect. Second, we built a panel regression model, which studies the impact of the digital economy on the ripple effect of financial risks. In addition, we explored the heterogeneous effects of different dimensions of the digital economy on the ripple effect of financial risks. Our findings revealed several key conclusions. First, the total financial risk ripple effects between 2011 and 2020 continued to change, and the ripple effects of different types of financial risks have heterogeneity. Second, the digital economy has a negative impact on the ripple effect of financial risks. Third, the different dimensions of the digital economy have heterogeneity in the ripple effect of financial risks. Specifically, the digital economy user index and the digital economy innovation index have a negative impact on financial risk ripple effect. The digital economy platform index and the digital economy industry index have insignificant effects on financial risk ripple effect.

    Citation: Zimei Huang, Zhenghui Li. The impact of digital economy on the financial risk ripple effect: evidence from China[J]. AIMS Mathematics, 2024, 9(4): 8920-8939. doi: 10.3934/math.2024435

    Related Papers:

  • The impact of the digital economy on the ripple effect of financial risks has attracted attention. Based on the data of flow of funds statements (financial accounts), spanning from 2011 to 2020, the fund flow analysis method was used to build a model measuring financial risk ripple effect. Second, we built a panel regression model, which studies the impact of the digital economy on the ripple effect of financial risks. In addition, we explored the heterogeneous effects of different dimensions of the digital economy on the ripple effect of financial risks. Our findings revealed several key conclusions. First, the total financial risk ripple effects between 2011 and 2020 continued to change, and the ripple effects of different types of financial risks have heterogeneity. Second, the digital economy has a negative impact on the ripple effect of financial risks. Third, the different dimensions of the digital economy have heterogeneity in the ripple effect of financial risks. Specifically, the digital economy user index and the digital economy innovation index have a negative impact on financial risk ripple effect. The digital economy platform index and the digital economy industry index have insignificant effects on financial risk ripple effect.


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    [1] Y. Wen, Y. Xu, Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces, AIMS Math., 8 (2023), 24825–24847. https://doi.org/10.3934/math.20231266 doi: 10.3934/math.20231266
    [2] M. Hong, J. He, K. Zhang, Z. Guo, Does digital transformation of enterprises help reduce the cost of equity capital, Math. Biosci. Eng., 20 (2023), 6498–6516. https://doi.org/10.3934/mbe.2023280 doi: 10.3934/mbe.2023280
    [3] C. Li, G. Long, S. Li, Research on measurement and disequilibrium of manufacturing digital transformation: based on the text mining data of A-share listed companies, Data Sci. Financ. Econ., 3 (2023), 30–54. https://doi.org/10.3934/DSFE.2023003 doi: 10.3934/DSFE.2023003
    [4] Z. Li, J. Zhu, J. He, The effects of digital financial inclusion on innovation and entrepreneurship: a network perspective, Electron. Res. Arch., 30 (2022), 4697–4715. https://doi.org/10.3934/era.2022238 doi: 10.3934/era.2022238
    [5] Y. Wang, J. Liu, X. Yang, M. Shi, R. Ran, The mechanism of green finance's impact on enterprises' sustainable green innovation, Green Financ., 5 (2023), 452–478. https://doi.org/10.3934/GF.2023018 doi: 10.3934/GF.2023018
    [6] Y. Liu, Y. Wen, Y. Xiao, L. Zhang, S. Huang, Identification of the enterprise financialization motivation on crowding out R & D innovation: evidence from listed companies in China, AIMS Math., 9 (2024), 5951–5970. https://doi.org/10.3934/math.2024291 doi: 10.3934/math.2024291
    [7] Y. Liu, L. Chen, H. Luo, Y. Liu, Y. Wen, The impact of intellectual property rights protection on green innovation: a quasi-natural experiment based on the pilot policy of the Chinese intellectual property court, Math. Biosci. Eng., 21 (2024), 2587–2607. https://doi.org/10.3934/mbe.2024114 doi: 10.3934/mbe.2024114
    [8] Q. Li, H. Chen, Y. Chen, T. Xiao, L. Wang, Digital economy, financing constraints, and corporate innovation, Pac.-Basin Financ. J., 80 (2023), 102081. https://doi.org/10.1016/j.pacfin.2023.102081 doi: 10.1016/j.pacfin.2023.102081
    [9] A. I. Hunjra, S. Zhao, J. W. Goodell, X. Liu, Digital economy policy and corporate low-carbon innovation: evidence from a quasi-natural experiment in China, Financ. Res. Lett., 60 (2024), 104910. https://doi.org/10.1016/j.frl.2023.104910 doi: 10.1016/j.frl.2023.104910
    [10] D. Ma, Q. Zhu, Innovation in emerging economies: research on the digital economy driving high-quality green development, J. Bus. Res., 145 (2022), 801–813. https://doi.org/10.1016/j.jbusres.2022.03.041 doi: 10.1016/j.jbusres.2022.03.041
    [11] J. Wang, B. Wang, K. Dong, X. Dong, How does the digital economy improve high-quality energy development? The case of China, Technol. Forecast. Soc. Change, 184 (2022), 121960. https://doi.org/10.1016/j.techfore.2022.121960 doi: 10.1016/j.techfore.2022.121960
    [12] M. Xiong, F. Zhang, H. Zhang, H. Wang, Digital economy, credit expansion, and modernization of industrial structure in China, Financ. Res. Lett., 58 (2023), 104500. https://doi.org/10.1016/j.frl.2023.104500 doi: 10.1016/j.frl.2023.104500
    [13] L. Liu, M. Liu, How does the digital economy affect industrial eco-efficiency? Empirical evidence from China, Data Sci. Financ. Econ., 2 (2022), 371–390. https://doi.org/10.3934/DSFE.2022019 doi: 10.3934/DSFE.2022019
    [14] Y. Chen, Z. Peng, C. Peng, W. Xu, Impact of new government–business relations on urban digital economy: empirical evidence from China, Financ. Res. Lett., 58 (2023), 104325. https://doi.org/10.1016/j.frl.2023.104325 doi: 10.1016/j.frl.2023.104325
    [15] W. Pan, T. Xie, Z. Wang, L. Ma, Digital economy: an innovation driver for total factor productivity, J. Bus. Res., 139 (2022), 303–311. https://doi.org/10.1016/j.jbusres.2021.09.061 doi: 10.1016/j.jbusres.2021.09.061
    [16] B. Guo, Y. Wang, H. Zhang, C. Liang, Y. Feng, F. Hu, Impact of the digital economy on high-quality urban economic development: evidence from Chinese cities, Econ. Modell., 120 (2023), 106194. https://doi.org/10.1016/j.econmod.2023.106194 doi: 10.1016/j.econmod.2023.106194
    [17] B. Guo, Y. Feng, J. Lin, Digital inclusive finance and digital transformation of enterprises, Financ. Res. Lett., 57 (2023), 104270. https://doi.org/10.1016/j.frl.2023.104270 doi: 10.1016/j.frl.2023.104270
    [18] B. Wu, W. Yang, Empirical test of the impact of the digital economy on China's employment structure, Financ. Res. Lett., 49 (2022), 103047. https://doi.org/10.1016/j.frl.2022.103047 doi: 10.1016/j.frl.2022.103047
    [19] G. Sun, J. Fang, J. Li, X. Wang, Research on the impact of the integration of digital economy and real economy on enterprise green innovation, Technol. Forecast. Soc. Change, 200 (2024), 123097. https://doi.org/10.1016/j.techfore.2023.123097 doi: 10.1016/j.techfore.2023.123097
    [20] Y. Liu, M. Zheng, W. Y. Shum, On the linkages between digital finance and real economy in China: a cointegration analysis, Innovation Green Dev., 3 (2024), 100109. https://doi.org/10.1016/j.igd.2023.100109 doi: 10.1016/j.igd.2023.100109
    [21] Z. Li, B. Mo, H. Nie, Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China, Int. Rev. Econ. Financ., 86 (2023), 46–57. https://doi.org/10.1016/j.iref.2023.01.015 doi: 10.1016/j.iref.2023.01.015
    [22] Z. Li, H. Dong, C. Floros, A. Charemis, P. Failler, Re-examining bitcoin volatility: a CAViaR-based approach, Emerg. Mark. Financ. Trade, 58 (2022), 1320–1338. https://doi.org/10.1080/1540496X.2021.1873127 doi: 10.1080/1540496X.2021.1873127
    [23] Z. Li, C. Yang, Z. Huang, How does the fintech sector react to signals from central bank digital currencies, Financ. Res. Lett., 50 (2022), 103308. https://doi.org/10.1016/j.frl.2022.103308 doi: 10.1016/j.frl.2022.103308
    [24] C. Yang, L. Chen, B. Mo, The spillover effect of international monetary policy on China's financial market, Quant. Financ. Econ., 7 (2023), 508–537. https://doi.org/10.3934/QFE.2023026 doi: 10.3934/QFE.2023026
    [25] S. L. N. Alonso, Can Central Bank Digital Currencies be green and sustainable, Green Financ., 5 (2023), 603–623. https://doi.org/10.3934/GF.2023023 doi: 10.3934/GF.2023023
    [26] Z. Li, H. Chen, B. Mo, Can digital finance promote urban innovation? Evidence from China, Borsa Istanb. Rev., 23 (2023), 285–296. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006
    [27] Z. Li, J. Zhu, J. He, The effects of digital financial inclusion on innovation and entrepreneurship: a network perspective, Electron. Res. Arch., 30 (2022), 4697–4715. https://doi.org/10.3934/era.2022238 doi: 10.3934/era.2022238
    [28] M. Ahmad, A. Majeed, M. A. Khan, M. Sohaib, K. Shehzad, Digital financial inclusion and economic growth: provincial data analysis of China, China Econ. J., 14 (2021), 291–310. https://doi.org/10.1080/17538963.2021.1882064 doi: 10.1080/17538963.2021.1882064
    [29] N. Zhang, Flow of funds analysis: innovation and development, Singapore: Springer, 2020. https://doi.org/10.1007/978-981-15-7720-8
    [30] Z. Li, Z. Huang, Y. Su, New media environment, environmental regulation and corporate green technology innovation: evidence from China, Energy Econ., 119 (2023), 106545. https://doi.org/10.1016/j.eneco.2023.106545 doi: 10.1016/j.eneco.2023.106545
    [31] Y. Xu, T. Li, Measuring digital economy in China, Natl. Account. Rev., 4 (2022), 251–272. https://doi.org/10.3934/NAR.2022015 doi: 10.3934/NAR.2022015
    [32] G. Liao, Z. Li, M. Wang, K. Albitar, Measuring China's urban digital finance, Quant. Financ. Econ., 6 (2022), 385–404. https://doi.org/10.3934/QFE.2022017 doi: 10.3934/QFE.2022017
    [33] J. Ma, Z. Li, Measuring China's urban digital economy, Natl. Account. Rev., 4 (2022), 329–361. https://doi.org/10.3934/NAR.2022019 doi: 10.3934/NAR.2022019
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  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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