Scholarlink

<p>Studying digital finance’s (<i>DF</i>) influence on China’s economic resilience (<i>ER</i>) outlaid important practical implications for regional sustainable development. This research explores the spatiotemporal evolution of <i>ER</i> and the mechanisms through which <i>DF</i> affects <i>ER</i> using a dataset of thirty municipalities and provinces in China for 2011–2023. The entropy method is used to measure <i>ER</i>, and then the study employs the double fixed effects, threshold regression, and mediating effect models to delve into the mechanisms by which <i>DF</i> impacts <i>ER</i>. The findings indicate that <i>ER</i> across provinces and cities has shown a general upward trend, but the absolute level remains relatively low, with significant regional disparities. <i>DF</i> has a significant promoting effect on <i>ER</i>, but its impact exhibits structural differences. Specifically, the promoting effect of <i>Width</i> is stronger than that of <i>Depth</i> and <i>Digital</i>. Additionally, the mediating effect test indicates that <i>DF</i> can enhance <i>ER</i> through <i>GTI</i>. The study also finds that the effect of <i>DF</i> on <i>ER</i> is influenced by two threshold effects: industrial structure upgrading and social security. Finally, this paper provides policy inspirations for the development of <i>DF</i> and the enhancement of regional <i>ER</i> from aspects such as differentiated regional policies, strengthening the structural efficiency of <i>DF</i>, promoting <i>GTI</i>, and improving the social security system.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Driving role of digital finance on economic resilience: threshold effects of industrial structure upgrading and social security

  • 期刊论文

  • 发表日期：

    2025年11月24日

查看全文
  • Ziqian Zhao,
  • Decai Tang,
  • Jiannan Li

摘要

Studying digital finance’s (DF) influence on China’s economic resilience (ER) outlaid important practical implications for regional sustainable development. This research explores the spatiotemporal evolution of ER and the mechanisms through which DF affects ER using a dataset of thirty municipalities and provinces in China for 2011–2023. The entropy method is used to measure ER, and then the study employs the double fixed effects, threshold regression, and mediating effect models to delve into the mechanisms by which DF impacts ER. The findings indicate that ER across provinces and cities has shown a general upward trend, but the absolute level remains relatively low, with significant regional disparities. DF has a significant promoting effect on ER, but its impact exhibits structural differences. Specifically, the promoting effect of Width is stronger than that of Depth and Digital. Additionally, the mediating effect test indicates that DF can enhance ER through GTI. The study also finds that the effect of DF on ER is influenced by two threshold effects: industrial structure upgrading and social security. Finally, this paper provides policy inspirations for the development of DF and the enhancement of regional ER from aspects such as differentiated regional policies, strengthening the structural efficiency of DF, promoting GTI, and improving the social security system.