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Digital finance in the context of common wealth helps regional economic development of high quality

Digital finance in the context of common wealth helps regional economic development of high quality

Zhang, Chenjing, Mao, Di and Ma, Fenfen (2023) Digital finance in the context of common wealth helps regional economic development of high quality. Applied Mathematics and Nonlinear Sciences, 8 (1). pp. 2957-2974. ISSN 2444-8656 (Online) (doi:10.2478/amns.2023.1.00013)

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Abstract

Digital transformation has pass through aspects of social livelihood and manufacture services, and digital finance has become a new motor for progress with quality as the main goal of China’s financial condition. Here first elaborates on the connotation of progress with quality as the main goal, selects 20 indicators from five aspects of progress with quality as the main goal, necessity and progression productiveness, and measures the indicator weights using principal component analysis. Secondly, spatial panel information originate 30 all regions in China are used to study the coordinated action condition among mathematical finance and the progress with quality as the main goal regional financial condition using the spatial face-plate pattern. Finally, the coordinated action test and enclosure correlation are applied to verify coordinated action mathematical financial condition progression on capital situation in different regions high-quality development and the internal system of action. The empirical results show that the capital situation in different regions progression in China exhibits 86.67% more significant spatial autocorrelation, and the Moran I index values of the mathematical financial condition progression level and progress with quality as the main goal from 2010 to 2021 are both greater than 0, and both are important at the 1% magnitude, directive that the continuous create and progression of mathematical treasury supply important positive contribution to progress with quality as the main goal economic development. The research in here provides a acknowledge basis for strengthening the construction of mathematical infrastructure, improving the capital market and related policies, and expedite the digital reform transversion finance.

Item Type: Article
Uncontrolled Keywords: digital finance; high-quality economic development; principal component analysis; spatial panel model; Moran I index.
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HG Finance
Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group: Faculty of Business
Greenwich Business School > Networks and Urban Systems Centre (NUSC)
Last Modified: 02 Dec 2024 15:56
URI: http://gala.gre.ac.uk/id/eprint/45856

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