We obtain optimal emission levels and abatement expenditures in a finite-horizon transboundary pollution game with emission trading between two regions.We show that emission trading has significant impact on the optimal strategies and profits of the two regions. We find that cooperation between...

We obtain optimal emission levels and abatement expenditures in a finite-horizon transboundary pollution game with emission trading between two regions. We show that emission trading has significant impact on the optimal strategies and profits of the two regions. We find that cooperation between...

I exploit deep learning techniques trained on a set of common accounting items and constructed to mimic features of the human brain to predict future earnings. I show that this model offers incremental explanatory power in predicting future earnings and in estimating the associated implied cost...

We examine the relationship between growth in transportation and economic output across Chinese provinces from 2005-2014. Panel GMM methods evaluate the impact of changes in air, conventional rail, HSR, roads, and waterways turnover volume on provincial output growth. GMM estimates demonstrate...

Variational Mode Decomposition (VMD) is a signal decomposition algorithm with excellent denoising ability. However, the drawback that VMD is unable to determine the input parameters adaptively seriously affects the decomposition results. For this issue, an optimized VMD algorithm based on...

The manifold microchannels (MMC) plays an essential role as an efficient method for heat dissipation in electronic devices. In this study, the flow and heat transfer characteristics of MMC with different manifold structures are investigated by numerical simulation. The results show the excellent...