Asset co-movement has attracted the increasing attention of researchers from traditional finance and emerging interdisciplinary disciplines. However, little is known about the consistency of market-wide co-movement proxies constructed from the two perspectives above. Employing Fama-French...

The customized bus (CB) is a user-oriented, environment-friendly travel mode that provides flexible, demand-responsive service. During the eruption of COVID-19, more and more people have cut back on conventional public transport, which is crowded with people in narrow and enclosed spaces. While...

The resilience of the phosphorus (P) cycling network is critical to ecosystem functioning and human activities. Although P cycling pathways have been previously mapped, a knowledge gap remains in evaluating the P network’s ability to withstand shocks or disturbances. Applying principles of...

Shared mobility (SM) provides a feasible solution for reducing the number of private cars and alleviating urban traffic congestion. However, SM is not widely accepted in China’s mobility market. Based on a scenario choice experiment conducted in Beijing and Shanghai, we present two on-demand...

To achieve carbon emissions peak and neutrality, the structural adjustment of both the economy and energy system of a country is essential. In this study, a multi-objective optimization model based on the Input-Output approach is built to coordinate diverse policy targets vis-à-vis GDP growth,...

Protecting our environment while maintaining economic growth, requires a delicate balance among interlinked economic and environmental sustainable development policies. In this paper, we examine China’s economic industries including a fine-resolution electricity sector during 2020-2030, using...

The paper examines the potential of deep learning to produce decision support models from structured, tabular data. Considering the context of financial risk management, we develop a deep learning model for predicting whether individual spread traders are likely to secure profits from future...