数字金融对经济高质量发展的影响研究
Research on the Impact of Digital Finance on High-Quality Economic Development
DOI: 10.12677/ecl.2024.132431, PDF,  被引量   
作者: 吴 颖, 刘永文*:贵州大学经济学院,贵州 贵阳;胡雪竹:贵州广播电视台,贵州 贵阳
关键词: 数字金融经济高质量发展固定效应模型Digital Finance High-Quality Economic Development Fixed-Effect Model
摘要: 随着科技的迅速发展,数字技术在金融行业的广泛运用促进了新型金融模式的诞生——数字金融。这一领域成为推动经济高质量发展的关键力量。现有研究主要集中于数字金融与经济高质量的整体关系,很少对数字金融的子维度进行研究。本文基于2011~2020年,中国31个省级行政区(除西藏、香港、澳门外)的面板数据,对数字金融与经济高质量发展关系开展研究。首先梳理了相关文献,并构建面板固定效应模型进行实证检验。最后对基本回归结果、分维度回归结果进行实证分析。研究结果表明:数字金融及其三个子维度对经济高质量发展具有显著的正向影响,其中使用深度仍是现阶段发挥作用的主要途径,而数字化程度的影响效果则相对较为有限。并且上述结论经稳健性检验后依然成立。
Abstract: With the rapid development of science and technology, the wide application of digital technology in the financial industry has promoted the birth of a new financial model—digital finance. This field has become a key force in promoting high-quality economic development. The existing research mainly focuses on the overall relationship between digital finance and economic quality, and rarely studies the sub-dimensions of digital finance. Based on panel data from 31 provincial-level administrative regions in China (excluding Tibet, Hong Kong, and Macao) from 2011 to 2020, this paper studies the relationship between digital finance and high-quality economic development. Firstly, the relevant literature was sorted out, and a panel fixed effect model was constructed for empirical testing. Finally, the basic regression results and multi-dimensional regression results were empirically analyzed. The results show that digital finance and its three sub-dimensions have a significant positive impact on high-quality economic development, among which the depth of use is still the main way to play a role at this stage, while the impact of digital degree is relatively limited. And the above conclusions are still valid after the robustness test.
文章引用:吴颖, 刘永文, 胡雪竹. 数字金融对经济高质量发展的影响研究[J]. 电子商务评论, 2024, 13(2): 3526-3533. https://doi.org/10.12677/ecl.2024.132431

参考文献

[1] Demirguc-Kunt, A., Klapper, L., Singer, D. and Ansar, S. (2018) The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. World Bank Publications, Washington. [Google Scholar] [CrossRef
[2] Philippon, T. (2016) The Fintech Opportunity (No. w22476). National Bureau of Economic Research. [Google Scholar] [CrossRef
[3] Catalini, C. and Gans, J.S. (2016) Some Simple Economics of the Blockchain. Communications of the ACM, 63, 80-90. [Google Scholar] [CrossRef
[4] Allen, F. and Gu, X. (2021) Shadow Banking in China Compared to Other Countries. The Manchester School, 89, 407-419. [Google Scholar] [CrossRef
[5] 樊纲, 王小鲁, 张立文, 朱恒鹏. 中国各地区市场化相对进程报告[J]. 经济研究, 2003(3): 9-18.
[6] 何宏庆. 数字金融: 经济高质量发展的重要驱动[J]. 西安财经学院学报, 2019, 32(2): 45-51.
[7] 孙豪, 桂河清, 杨冬. 中国省域经济高质量发展的测度与评价[J]. 浙江社会科学, 2020(8): 4-14 155.
[8] 牛丽娟. 数字金融与经济高质量发展: 理论分析与实证检验[J]. 西南民族大学学报(人文社会科学版), 2023, 44(1): 125-138.
[9] 沈红丽. 数字鸿沟视角下数字金融对高质量发展的影响[J]. 统计与信息论坛, 2023, 38(4): 103-113.
[10] 韩珣, 安然, 黄娴静. 数字金融如何促进经济高质量发展: 理论机制与实证检验[J]. 金融监管研究, 2024(1): 79-95.
[11] 张玲, 董成立, 张伟伟. 数字普惠金融对经济高质量发展的影响机制研究[J]. 哈尔滨商业大学学报(社会科学版), 2023(6): 20-30.