Impact of digital economy industry development on carbon emissions and human health: analysis based on China dynamic energy computable general equilibrium model
摘要
The digital economy's explosive growth as a new driver of global economic expansion has highlighted its effects on human health and carbon emissions. The study uses a digital economy module to construct a computable general equilibrium model of China's dynamic energy environment. Through scenario simulation, the study quantifies the impact of developing the digital economy industry on carbon emissions and human health. The study found that in terms of energy consumption, total energy consumption fell to 250 million tce in 2030 under the green digital economy transformation scenario, a reduction of 19.4% from the base scenario. In terms of environmental and health impacts, the PM2.5 concentration under the green digital economy transformation scenario decreased from 25.14 µg/m3 in 2015 to about 22.36 µg/m3 in 2030, which was 11.5% lower than the base scenario. In terms of economic performance, the GDP growth rate of the green digital economy transformation scenario was significantly higher, increasing by 0.0579 in 2030 compared to the base scenario. This study demonstrates that developing the digital economy and green energy together can reduce carbon intensity, improve air quality, and minimize health losses. This provides an important policy rationale for balancing economic growth and environmental sustainability.
Graphical Abstract