Autonomous driving paper index

Interaction impact of demographic and digital economy on carbon emissions in China

2026-07-27 · Frontiers in Environmental Science

autonomous driving

One-line summary

Despite the digital economy’s potential to support decarbonization, the role of population dynamics in shaping this association remains unclear.

Engineering notes

The findings suggest that the digital economy is significantly negatively associated with carbon dioxide emissions across China, with notable spatial spillover associations.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Despite the digital economy’s potential to support decarbonization, the role of population dynamics in shaping this association remains unclear. More empirical and theoretical studies are needed to understand this relationship. Based on this background, this study aims to explore the complex associations between the digital economy, population, and carbon emissions based on China 31 provinces panel data from 2000 to 2020 sourced from the China Statistical Yearbook. The study innovatively employs a population distance matrix to analyze how population factors condition the digital economy-emissions association and utilizes a structural equation model to overcome the limitations of traditional single-pathway mediation analyses. The findings suggest that the digital economy is significantly negatively associated with carbon dioxide emissions across China, with notable spatial spillover associations. Additionally, there is a strong negative-emissions association between population ageing and the digital economy, while population mobility exhibits a significant negative association. Moreover, as population density increases, the association between the digital economy and emissions initially intensifies, then diminishes.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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