Study on Financing Constraints of Small and Medium-sized Enterprises Eased by Financial Technology

Small and medium-sized enterprises (SMEs) are increasingly important for economic growth, employment opportunities, and innovation. However, the traditional financial system has failed to meet its diverse financing needs, especially in terms of information asymmetry and risk assessment. There is a lack of systematic theoretical analyses and empirical tests on how FinTech affects the financing constraints of SMEs. This paper explores in detail the role of information asymmetry, leverage, and financial sector concentration in the financing process of SMEs through an in-depth study of the mechanism of FinTech's impact on SMEs' financing constraints. The results of the study show that the development of FinTech has a significant effect on alleviating the financing constraints of SMEs. In addition, this study finds that FinTech is particularly effective in alleviating the financing constraints of SMEs in the eastern region. However, in the Western region, the financing difficulties faced by SMEs are still severe. Therefore, the state should vigorously promote the development of fintech, especially in the less developed regions in the West, with a view to reducing the imbalance between the East and West in terms of economic development, and thus promoting balanced development nationwide.

Authors

Institutions

Publication Details

Journal
Highlights in Business Economics and Management
Published
2024-09-01
DOI
https://doi.org/10.54097/g3z84328
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Financing Constraints of Small and Medium-sized Enterprises Eased by Financial Technology

Weichen Ouyang, Zeyang Huang
Highlights in Business Economics and Management
FinTech, Crowdfunding, Digital Finance
article

Study on Financing Constraints of Small and Medium-sized Enterprises Eased by Financial Technology

Weichen Ouyang, Zeyang Huang
article en

Abstract

Small and medium-sized enterprises (SMEs) are increasingly important for economic growth, employment opportunities, and innovation. However, the traditional financial system has failed to meet its diverse financing needs, especially in terms of information asymmetry and risk assessment. There is a lack of systematic theoretical analyses and empirical tests on how FinTech affects the financing constraints of SMEs. This paper explores in detail the role of information asymmetry, leverage, and financial sector concentration in the financing process of SMEs through an in-depth study of the mechanism of FinTech's impact on SMEs' financing constraints. The results of the study show that the development of FinTech has a significant effect on alleviating the financing constraints of SMEs. In addition, this study finds that FinTech is particularly effective in alleviating the financing constraints of SMEs in the eastern region. However, in the Western region, the financing difficulties faced by SMEs are still severe. Therefore, the state should vigorously promote the development of fintech, especially in the less developed regions in the West, with a view to reducing the imbalance between the East and West in terms of economic development, and thus promoting balanced development nationwide.

Highlights in Business Economics and ManagementVol. 40
Soochow University (CN), Jiangxi University of Finance and Economics (CN)
Decent work and economic growth
Openalex Percentile: Top 78%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.