Abstract
This study empirically investigates the influence of digital finance on the consumption of urban and rural inhabitants using the instrumental variable approach and propensity score matching method based on survey data of Chinese household finance in 2017. The search finds that digital finance has a significant promoting effect on the consumption of Rural and urban dwellers. Digital finance will increase the average household consumption by 24.50%, it will lead to consumption growth by improving the non-agricultural employment level of households and the availability of finance. Further analysis shows that digital finance plays a more obvious role in promoting household consumption of urban and rural residents who are middle and low-income and who participate in Internet financing and online lending, moreover, the consumption growth effect of digital finance was higher than that of traditional credit card use in the same period. The paper's research conclusion is that providing important policy enlightenment for China to expand the coverage of digital finance in rural areas in the new era to drive the consumption development of urban and rural residents.
Publisher
Darcy & Roy Press Co. Ltd.
Reference12 articles.
1. Zili Huang, Daimeng Huang, and Kun Guo. 2019. Research on Relationship between Rural Residents' Income and Electricity Consumption Features. In IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume (WI '19 Companion). Association for Computing Machinery, New York, NY, USA, 111–118.
2. Peiwen Xiao. 2021. The Regional Heterogeneity Impact of Digital Inclusive Finance on Urban-Rural Income Gap in China: Empirical Research Based on Provincial Panel Threshold Model. In Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering (ICITEE2020). Association for Computing Machinery, New York, NY, USA, 410–415.
3. Lingli Lv. 2021. Empirical Analysis on the Relationship between Urbanization and Consumption from the Perspective of Residents. In 2021 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC2021). Association for Computing Machinery, New York, NY, USA, 1–5.
4. Bo Zhang and Jingyi Guan. 2023. Panel Data Based Model Analysis of Digital Inclusive Finance Development on the Urban-Rural Income Gap. In Proceedings of the 7th International Conference on Intelligent Information Processing (ICIIP '22). Association for Computing Machinery, New York, NY, USA, Article 53, 1–5.
5. Yijun Zhang and Dan Yuan. 2023. Exploration on Optimization of Business Talent Training in Digital Economy Era. In Proceedings of the 6th International Conference on Digital Technology in Education (ICDTE '22). Association for Computing Machinery, New York, NY, USA, 299–304. https://doi.org/10.1145/3568739.3568790