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The Spatial Effect of the Efficiency of Regional Financial Resource Allocation from the Perspective of Internet Finance: Evidence from Chinese Provinces

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  • Gaoke Liao
  • Dequan Yao
  • Zhihao Hu

Abstract

In this article, we analyzed the impact mechanism of Internet finance on the efficiency of regional financial resource allocation. A data envelopment analysis–Malmquist model is used to measure the efficiency of financial resource allocation in 30 provinces in China, and the impact of Internet finance on the efficiency of regional financial resource allocation is tested using a spatial Durbin model. The results show clear spatial agglomeration and spillover effects in the efficiency of regional financial resource allocation. In addition, developing Internet finance can promote the efficiency and technological progress of regional financial resource allocation and can enhance efficiency and technological progress in the allocation of financial resources in adjacent regions. However, it can hurt the technical efficiency of regional financial resource allocation.

Suggested Citation

  • Gaoke Liao & Dequan Yao & Zhihao Hu, 2020. "The Spatial Effect of the Efficiency of Regional Financial Resource Allocation from the Perspective of Internet Finance: Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1211-1223, May.
    • Handle: RePEc:mes:emfitr:v:56:y:2020:i:6:p:1211-1223
    DOI: 10.1080/1540496X.2018.1564658
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    Cited by:

    1. Huang, Xinpeng & Meng, Fanshi, 2023. "Digital finance mitigation of ' resource curse ' effect: Evidence from resource-based cities in China," Resources Policy, Elsevier, vol. 83(C).
    2. Tianshu Quan & Tianli Quan, 2023. "A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    3. Zhong, Weiqiang & Jiang, Tingfeng, 2021. "Can internet finance alleviate the exclusiveness of traditional finance? evidence from Chinese P2P lending markets," Finance Research Letters, Elsevier, vol. 40(C).
    4. Yangjie Liao & Xiaokun Zhou, 2023. "Can Digital Finance Contribute to Agricultural Carbon Reduction? Evidence from China," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    5. Yang, Sen & Xu, Jiawei & Lei, Tianyi & Wang, Mengdi, 2024. "How to improve the efficiency of green development? The role of digital finance," Finance Research Letters, Elsevier, vol. 63(C).
    6. Xin, Xinyi & Zhang, Anquan & Liu, Lu, 2024. "Study on the influence of Internet finance on urban household savings rate: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 45-61.
    7. Rayenda Khresna Brahmana & Maria Kontesa & Josephine Tan-Hwang Yau, 2024. "Does information seeking moderate the relationship between financial loan inclusion and Fintech P2P lending?," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(1), pages 171-185, March.
    8. Sun, Yizhong & Jin, Keyan & Wang, Deyong & Wu, Qingyang & Li, Zhezhou, 2023. "Revisiting the natural resources-financial development nexus in China: The importance of economic policy uncertainty," Resources Policy, Elsevier, vol. 86(PB).
    9. David Mhlanga, 2020. "Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion," IJFS, MDPI, vol. 8(3), pages 1-14, July.
    10. Yue, Pengpeng & Korkmaz, Aslihan Gizem & Yin, Zhichao & Zhou, Haigang, 2022. "The rise of digital finance: Financial inclusion or debt trap?," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Jing Zhao & Wenshun Li, 2024. "The Impact of Digital Finance on the Urban–Rural Income Gap in China: The Mediating Role of Employment Structural Transformation," Sustainability, MDPI, vol. 16(19), pages 1-23, September.
    12. Ding, Wangwang & Du, Juntao & Kazancoglu, Yigit & Mangla, Sachin Kumar & Song, Malin, 2023. "Financial development and the energy net-zero transformation potential," Energy Economics, Elsevier, vol. 125(C).
    13. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    14. Cheng, Qiongwen & Zhao, Xiaoge & Zhong, Shihu & Xing, Yudan, 2024. "Digital financial inclusion, resident consumption, and urban carbon emissions in China: A transaction cost perspective," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1336-1352.
    15. Haitao Wu & Yu Hao & Chuanzhen Geng & Weiheng Sun & Youcheng Zhou & Feiling Lu, 2023. "Ways to improve cross-regional resource allocation: Does the development of digitalization matter?," Journal of Economic Analysis, Anser Press, vol. 2(4), pages 1-30, June.

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