数字普惠金融与产业结构升级——基于非线性关系视角

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-03-20 DOI:10.20965/jaciii.2023.p0251
Shuping Lin, Wenhui Ma
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引用次数: 2

摘要

与传统金融相比,数字普惠金融政策特定、目标不同、覆盖范围更广,在促进实体经济发展、产业设施升级等方面发挥着积极作用。本文基于2011 - 2019年中国288个地级市的面板数据,实证检验了数字普惠金融对产业结构升级的影响。实验结果表明,数字普惠金融发展与产业结构升级呈“U”型非线性关系。特别是,在引用工具变量、替换核心解释变量和进行其他稳健性检验后,这一结论仍然有效。通过阈值模型检验数字普惠金融对产业结构升级的影响,发现基于数字普惠金融和地方经济发展水平的双阈值效应。因此,在向数字普惠金融动态转型和经济持续发展的背景下,数字普惠金融促进产业结构升级的作用不断增强。
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Digital Inclusive Finance and Industrial Structure Upgrade - Based on Nonlinear Relationship Perspective
Compared with traditional finance, digital inclusive finance involves particular policies, different targeting, and wider coverage, plays a positive role in promoting the development of the real economy, and upgrades to industrial facilities. Based on the panel data of 288 prefecture-level cities in China from 2011 to 2019, in this study, we empirically examined the impact of digital inclusive finance on upgrades to industrial structures. The experimental results showed a “U”-shaped nonlinear relationship between the development of digital inclusive finance and the upgrades to industrial structure. In particular, this conclusion remained valid after citing instrumental variables, replacing core explanatory variables, and performing other robustness tests. Furthermore, we used the threshold model to test the influence of digital inclusive finance on industrial structure upgrade, and observed a double threshold effect based on digital inclusive finance and local levels of economic development. Therefore, in the dynamic transformation towards digital inclusive finance and continuing economic development, the role of digital inclusive finance in promoting industrial structure upgrade continues to strengthen.
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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