English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Existing studies on the financing difficulties of middle- and small-sized enterprises (SMEs) have neglected the quantitative analysis of SMEs’ risk spillovers to banks. Therefore, taking China as an example, we have analyzed the financing difficulties of SMEs from the perspective of risk spillover. The GARCH time-varying copula-CoVaR model based on the skewed-t distribution was used to measure the risk spillover effects of SMEs on banks. Furthermore, the heterogeneous impacts of risk spillovers on different scale banks were analyzed, including state-owned banks, joint-stock banks, and city commercial banks. The study found that SMEs always have obvious risk spillover effects on banks; it is particularly difficult for SMEs to obtain loans from the largest state-owned banks because in extreme cases, SMEs have the highest risk spillover effects on state-owned banks. The changes in risk spillover effects are attributed to two reasons. One is that the degree of association between SMEs and various banks is different, and the other is that there are varying degrees of risk spillover effects among various banks.

Risk Spillover: A New Perspective on the Study of Financing Difficulties for SMEs—Evidence from China