Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

Considering the potential relationship between the digital economy and energy transition,
we investigate the effect of the digital economy on the structure of renewable energy …

Following the resource-based view and upper echelons theory, we use data on Chinese A-
share listed companies from 2013 to 2020 to investigate the effect of digital transformation …

The digital economy has demonstrated strong resilience and great potential, under the
interwoven influence of the global pandemic and severe environmental concerns across the …

With the emergence of technological innovations, digital finance with a blend of new models
and the development of inclusive financial innovation shows great significance for business …

The outbreak of COVID-19 has accelerated the building of resilient supply chains, and
supply chain digitalization is gradually being recognized as an enabling means to this end …

Recently, the progress of reaching carbon emission peaks and achieving carbon neutrality
has had significant impacts on the global economy. The overall societal efforts on carbon …

A more comprehensive understanding of the impact of artificial intelligence (AI) on energy
transition and carbon emissions could help to use AI to achieve carbon neutrality. To this …

In the context of sustainable development, countries around the world shed more light on
green innovation in their environmental policies, and the digital economy may take a vital …

In the context of trade protectionism impacting economic and environmental sustainability, a
more comprehensive understanding of the impact of trade on carbon emissions is critical to …