How to accelerate the reduction of carbon emissions in the context of the “double carbon” target has become a key concern for all sectors of society. This paper firstly analyzes the influence mechanism of foreign direct investment (FDI) agglomeration on carbon emission intensity, from a theoretical perspective. Then, based on a panel data of 270 cities in China from 2006 to 2019, this paper uses ArcGIS software to visually analyze the spatial and temporal characteristics of FDI agglomeration and carbon emission intensity, and constructs traditional fixed effect models and spatial econometric models for empirical analysis. The results show that, first, FDI agglomeration has a significantly positive impact on the carbon emission intensity of local and neighboring cities with crowding effect. Second, the level of technological innovation can mitigate the crowding effect of FDI agglomeration on carbon emission intensity in local and neighboring cities. Third, there is a negative spatial autocorrelation between the local carbon emission intensity and the carbon emission intensity of neighboring cities. Fourth, the crowding effect of FDI agglomeration on carbon emission intensity is mainly concentrated in the central and western regions. Based on the research conclusions, this paper puts forward corresponding countermeasure suggestions.

Digital empowerment has become deeply embedded in global production networks, yet its implications for sectoral energy systems remain insufficiently understood. This study investigates whether digital empowerment is associated with sectoral energy-structure transition and through which channels. Using matched World Input–Output Database accounts for 2000–2014 and applying the Hypothetical Extraction Method (HEM), we measure digital empowerment at the country–sector level and examine its association with sectoral energy-use outcomes. The estimates indicate that digital empowerment is associated with a lower fossil-fuel share and lower total sectoral energy consumption in the full sample, although the associations differ across non-fossil energy categories, sectors, and development stages. Additional channel-based tests show that digital empowerment is associated with lower energy intensity, improved global value-chain positioning, and higher export technological sophistication. Both domestic and foreign digital inputs contribute to this relationship, and manufacturing sectors show a clearer association with lower total energy consumption than service sectors. Developing economies exhibit weaker compositional adjustment than developed economies. These findings provide empirical evidence for integrating digitalization into energy transition strategies and offer practical pathways for aligning digital economic development with sustainable energy objectives.