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Can Digital Finance Contribute to the Optimization of Industrial Structures: Empirical Evidence from Chinese 260 Cities

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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) (AMLTA 2022)

Abstract

As a product of the deep combination of traditional finance and financial technology, digital finance has prominently increased the efficiency and widened the scope of financial services. To be an effective tool to regulate the use of funds in the digital era, digital finance has a significant impact on the optimization of industrial structure. In this paper, in order to analyze the effect of digital finance on the optimization of industrial structure with a fixed-effects model, the Digital Inclusive Finance Index, which was complied by Peking University and Ant Financial Services Group, and the panel data from 2011–2019 of 260 prefecture-level cities were selected. The empirical results indicate that digital finance can significantly contribute to the optimization of industrial structure, and the analysis from different dimensions reveals that the breadth of coverage of digital finance has the most vital contribution to the optimization of industrial structure. Finally, the paper puts forward relevant recommendations for the use of digital finance to optimize industrial structure.

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Correspondence to Hongmei Wen .

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Yue, J., Wen, H. (2022). Can Digital Finance Contribute to the Optimization of Industrial Structures: Empirical Evidence from Chinese 260 Cities. In: Hassanien, A.E., Rizk, R.Y., Snášel, V., Abdel-Kader, R.F. (eds) The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022). AMLTA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-031-03918-8_54

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