The impact of the development level of rural e-commerce on the depressive symptoms among rural older adult individuals

Front Public Health. 2024 Dec 11:12:1477417. doi: 10.3389/fpubh.2024.1477417. eCollection 2024.

Abstract

Background: In the context of China, where the demographic trend of population aging intertwines with the rapid advancement of information digitalization, rural older adult individuals, who are part of a vulnerable population, are witnessing a deteriorating depression status. The proliferation of rural e-commerce, which fuels the digital economic revolution in rural areas, is concurrently affecting the depressive symptoms among rural older adult individuals.

Methods: This study uses longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) and applies a multi-period Difference-in-Differences (DID) model to explore how rural e-commerce affects the depressive symptoms among rural older adult individuals.

Results: The findings indicate that the development of rural e-commerce can indeed improve the depressive symptoms among rural older adult individuals, with a particularly pronounced effect on those residing in the eastern and central regions of China, as well as those who do not live with their children. The mechanism analysis indicates that e-commerce improves depressive symptoms among rural older adult individuals by enhancing social interaction frequency and increasing financial support by children.

Conclusion: Based on these insights, we recommend a targeted approach to implementing e-commerce policies in rural areas, focusing on innovative methods to improve the depressive symptoms among rural older adult individuals.

Keywords: Difference-in-Differences; depressive symptoms; e-commerce; mediation analysis; rural older adult individuals.

MeSH terms

  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Depression* / epidemiology
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Rural Population* / statistics & numerical data

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was funded by the project titled “Research on the Pathways of Infection Risk Formation and Prevention Mechanisms in Elderly Care Institutions during the COVID-19 Pandemic” (grant number: 20HXBH140). It was also funded by the National Natural Science Foundation of China (grant number: 72271172) and the Humanities and Social Science Fund of the Ministry of Education of China (grant number: 21YJC630142).