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Digital Inclusive Finance, Advanced Industrial Structure and Quality of Economic Growth—Empirical Evidence Based on Provincial Panel Regressions with Threshold Effect Models

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Recent Advancements in Computational Finance and Business Analytics (CFBA 2023)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 32))

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Abstract

In this paper, we use the panel data of 30 Chinese provinces from 2011–2020 to investigate the influence of digital inclusive finance on the economic development quality and the threshold effect of advanced industry structure. The conclusion is as follows: The growth of DFI has an clear positive effect on improving the quality of economy; the advanced industrial structure shows a double threshold effect in the improvement of economic development quality by DFI. Furthermore, it is found that the digital inclusive finance in East, Middle and West has a positive effect on the quality of economic growth. In the east and west areas, there is a single threshold effect, while in the middle there is no threshold effect.

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Wang, Z. (2023). Digital Inclusive Finance, Advanced Industrial Structure and Quality of Economic Growth—Empirical Evidence Based on Provincial Panel Regressions with Threshold Effect Models. In: Gupta, R., Bartolucci, F., Katsikis, V.N., Patnaik, S. (eds) Recent Advancements in Computational Finance and Business Analytics. CFBA 2023. Learning and Analytics in Intelligent Systems, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-031-38074-7_7

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